Question:
Is "Using Transformer-Based Models for Path Representation Learning in Temporal Networks"
a novel research idea?

Here are some notes on what such a paper would look like:

 This paper explores the application of Large Language Models (LLMs) for network analysis. We utilize GPT-2, a decoder-only model, and RoBERTa, an encoder-only model, to analyze graph traversal paths. The study demonstrates the capability of LLMs to capture network structures effectively, presenting a novel intersection between natural language processing and network science. Key findings, contributions, and implications are discussed. \end{abstract} \section{Introduction} The advent of Large Language Models (LLMs) has revolutionized natural language processing (NLP). This study explores their potential for network analysis by using graph traversal paths as input for LLMs. Current methods in network science often rely on handcrafted features or spectral properties; this work leverages LLMs for a novel, data-driven approach. Key objectives include comparing encoder-only and decoder-only models and evaluating their ability to capture network structures. \section{Methodology} \subsection{Large Language Models (LLMs)} Large Language Models (LLMs) are advanced neural networks trained on vast amounts of text data to understand and generate human language. They are based on the transformer architecture, which uses self-attention mechanisms to process input sequences in parallel, allowing for efficient handling of long-range dependencies. \subsection{Models Used} \subsubsection*{GPT-2 (Decoder-Only Model)} GPT-2 is a transformer-based model designed for autoregressive tasks, where the model predicts the next token in a sequence given the previous tokens. It is trained using a left-to-right context, making it suitable for generating coherent text sequences. \subsubsection*{RoBERTa (Encoder-Only Model)} RoBERTa is a transformer-based model designed for masked language modeling. It predicts missing tokens in a sequence by leveraging the surrounding context (both before and after). This bidirectional approach allows the model to capture rich contextual information. \subsection{Data Preparation} In this study, we use paths of graph traversal as input to the models. Each path represents a sequence of nodes visited during the traversal. The data is preprocessed to convert these paths into tokenized sequences suitable for input to the LLMs. \subsection{Training Procedure} \subsubsection*{Training Setup and Configurations} We use the \texttt{transformers} library to set up and train the models. The training configurations include the number of epochs, learning rate, batch size, and other relevant parameters. \subsubsection*{Hyperparameter Tuning} We employ Optuna for hyperparameter tuning. The search space includes embedding dimensions, the number of attention heads, and the number of hidden layers. The optimization process aims to minimize the validation loss. \subsubsection*{Training Arguments} Default training arguments are defined, with options to override specific parameters. The training process involves setting up the model, preparing the data collator, and initializing the trainer. \subsubsection*{Evaluation Metrics} The models are evaluated using metrics such as loss, accuracy, and perplexity. The evaluation is performed on both validation and test datasets to ensure robust performance assessment. % Results \section{Results} \subsection{Training and Evaluation} Quantitative results from training and testing are presented, showing the effectiveness of LLMs for network analysis. % Discussion \section{Discussion} \subsection{Insights from the Study} This study reveals that LLMs can encode network structures effectively. \subsection{Limitations and Challenges} Challenges include computational demands and generalizability across different types of networks. % Conclusion \section{Conclusion} We demonstrate the feasibility of using LLMs for network analysis by applying GPT-2 and RoBERTa to graph traversal paths. Future work will explore hybrid models, other network types, and real-world applications.

computer science


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find papers on a topic from scopus. Understanding Transport Professionals' Response to Sexual Harassment Legislation: Navigating Implementation Challenges and Strategies to Improve Safety in Public Transport Systems
Introduction
Public transport systems are vital components of urban infrastructure, providing essential mobility and accessibility. However, they are also spaces where sexual harassment frequently occurs, disproportionately affecting women and undermining their sense of safety and freedom of movement (Loukaitou-Sideris, 2015; Ceccato, 2017). In response to growing awareness and advocacy, many regions have enacted sexual harassment legislation aimed at creating safer public spaces. Despite these legislative efforts, the translation of policy into practice remains a complex challenge, particularly for transport professionals tasked with implementing these measures (Gekoski et al., 2015; Yavuz & Welch, 2010).
The enactment of sexual harassment laws in public transport settings presents both opportunities and challenges for transport professionals. While these laws provide a framework for addressing harassment, they often lack specific implementation guidelines, leaving transport professionals to navigate the intricacies of operationalizing policy mandates. This gap between policy and practice underscores the need for a deeper understanding of how transport professionals interpret, plan, and execute these legislative requirements (Smith & Henson, 2018; Gardner et al., 2017).

Existing literature has explored various aspects of safety in public transport, including design interventions and user perceptions (Loukaitou-Sideris et al., 2009; Ceccato & Paz, 2017). However, there is a notable gap in understanding the perspectives and strategies of transport professionals who are at the forefront of implementing these changes. Specifically, research has yet to comprehensively address how these professionals perceive sexual harassment legislation, what challenges they face, and what innovative strategies they propose to enhance safety (Gardner et al., 2017).

This study aims to fill these gaps by examining the responses of transport professionals to sexual harassment legislation and exploring the strategies they employ to navigate implementation challenges. The research seeks to answer the following questions: How do transport professionals perceive and plan to implement the sexual harassment legislation? What strategies and solutions do they propose for effective implementation? What challenges do they anticipate in implementing safety measures? And how can their professional expertise inform the development of implementation guidelines?

By addressing these questions, this study contributes to the broader discourse on gender-sensitive transport planning and offers practical insights for policymakers and practitioners seeking to create safer and more inclusive public transport systems. The findings will not only enhance our understanding of the implementation process but also provide a foundation for developing targeted guidelines and best practices that can be adapted across diverse contexts.

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Davenport, T., & Prusak, L. (1998). Working Knowledge: How Organizations Manage What They Know
Knowledge about customers is a strategic asset that can drive innovation, improve decision-making, and enhance competitive advantage.

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Check for prior work: We introduce Adversarial Persona Robustness Testing (APRT), a multi-component framework
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challenging conversational scenarios designed to break persona coherence. (2) A multi-agent
simulation environment: where adversarial agents attempt to expose inconsistencies in the target
persona. (3) A reinforcement learning-based dialogue manager: that learns optimal strategies for
maintaining persona consistency under adversarial pressure. (4) An iterative fine-tuning process: that uses failed test cases to continuously improve persona robustness.

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Summarize the following paper: An Overview of Machine Learning, Deep Learning, and
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My thesis explores using diffusion models to solve the image demixing problem - specifically separating blended images back into their source components.
Key Aspects:

Core Problem:

Given a blended image y = αx₁ + (1-α)x₂
Goal: Recover source images x₁, x₂ using diffusion models as priors

Novel Approach:

Uses pretrained diffusion models' natural image priors
Modifies the diffusion sampling process to incorporate blending constraints
No additional training required

Research Progression:

Starting with known, constant α
Moving to unknown, constant α
Advancing to spatially-varying α maps
Potentially extending to N>2 images and incorporating additional guidance

Current Experiments:

Comparing different loss formulations for reconstruction
Investigating numerical stability and detail preservation
Testing gradient-based approaches for better image recovery

The work is innovative as it applies diffusion models to image demixing in a way that hasn't been explored before, potentially offering a new approach to this challenging inverse problem.

Can you help me find papers on the topic and maybe prior work,  and also give me interesting suggestion on what should i do?

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During the inferencing stage, large model weights are often stored in slower storage devices like SSD and/or CPU before being transferred to GPU memory for computation.
The bandwidth limitations of these connections can create significant delays
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Network latency
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For applications that requiring real-time response such as autonomous driving and security surveillance, even slight delays can lead to unacceptable performance degradation

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2.4 Current Deep Learning Architectures in Computational Pathology
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Provide relevant diagrams too.

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medicine


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Question:
Dear experts,

I am conducting research on effective teaching and learning methodologies and would appreciate recommendations for high-quality academic resources (books, articles, or case studies) on the following topics:

1⃣ Socratic Questioning, Experiential Learning, and Evidence-Based Educational Frameworks
	•	What are the best scholarly works on Socratic questioning as a pedagogical method?
	•	Are there key books or meta-analyses that explore experiential learning and its impact on student engagement and knowledge retention?
	•	What are the most widely accepted evidence-based frameworks for structuring effective and interactive learning environments?

2⃣ Cognitive Science & Learning Retention
	•	Which articles or books provide the most comprehensive insights into active retrieval, spaced repetition, and transformative learning?
	•	How do these cognitive strategies enhance comprehension and long-term retention in real-world educational settings?
	•	Are there case studies or research-backed implementations of these techniques that demonstrate measurable improvements in learning outcomes?

3⃣ Digital & Technological Integration in Learning
	•	What are the most practical and effective studies on how digital tools, AI, and interactive platforms improve learning engagement and accessibility?
	•	Which research best explores the use of AI-driven adaptive learning in education?
	•	Are there comparative studies showing the effectiveness of blended learning approaches versus traditional classroom methods?

I am particularly interested in references that are both academically rigorous and applicable to real-world learning environments. Your recommendations would be invaluable in helping me refine my understanding and approach.

education


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medicine


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physics


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biology


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medicine


Question: These findings are consistent with current literature, which indicates that while alterations in fatty acid metabolism have been implicated in AD pathophysiology, group-level differences in pathway abundance may not always reach statistical significance. Instead, individual variability - including the presence of outliers - may reflect underlying metabolic heterogeneity among AD patients and controls, potentially influenced by genetic factors, comorbidities, or environmental exposures. Recent studies have highlighted the importance of examining both central tendencies and outlier patterns to better understand metabolic dysregulation in AD and its relevance to disease progression and clinical heterogeneity

medicine


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physics


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engineering


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medicine


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computer science


Question:
This research sparked my interest in exploring how data contamination contributes to memorization issues in models, leading to poor generalization abilities. Specifically, I aim to investigate whether there are methods that allow us to make ultimate use of data—leveraging it to enhance model capabilities while avoiding memorization of benchmark-specific information. Additionally, inspired by the LLM modeling work by \citep{allenzhu2024physicslanguagemodels31}, I plan to design controlled experiments to further explore these dynamics and uncover additional insights.

help me check if this idea was investigated?

computer science


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Multimodal Model
for Autonomous Driving with city maps

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neuroscience


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math


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computer science


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Write a comprehensive literature review of relate work for "Latency and Energy Minimization in
grant-free NOMA-Assisted Wireless Federated Learning for B5G networks"

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engineering


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engineering


Question: Large Language Models (LLMs) such as BERT, RoBERTa, and other variants, are known for their high classification performance in NLP tasks. However, these models have the major limitation of requiring huge computational resources, both in terms of training time and memory. High computation in this context refers to large GPU requirements, slow inference times, and high energy consumption, which is not always suitable for large-scale implementation in resource-constrained environments.

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Shortcomings of micro-perspective: Existing studies mostly explore economic issues of marriage from the statistical or macro-policy level, and lack attention to the subjective perceptions and experiences of individual women. An individualized perspective can reveal the complex role of financial security in marriage decisions, especially the differences between different social classes and income groups.
Lack of economic risk mechanism: Although some studies have pointed out the negative impact of economic risk on marriage, there is less analysis of its specific mechanism, especially in areas with high living costs like Shanghai. Research has yet to delve into how women evaluate the financial costs and benefits of marriage in this context.
Insufficient research on the effects of regional policies: Shanghai’s social policies have the potential to help women cope with economic risks in marriage, but the existing literature fails to fully reveal the actual effects of these policies, especially how to improve women’s perception of financial security in marriage through policies .

finance


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Question:
From these research questions, determine a doctoral thesis research title:
•	How do migrant parents and pupils navigate the Finnish education system's communication channels, and what role do language barriers and cultural differences play in this information flow?
•	How do communication practices between migrant parents, students, and educators influence the integration of international students into the Finnish education system?
•	How do migrant parents perceive their participation in their children's education in Finland, and how does this perception align (or conflict) with the expectations of Finnish schools?

education


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math


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business


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engineering


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computer science


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finance


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medicine


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social sciences


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computer science


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computer science


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psychology


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information science


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literature


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computer science


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social sciences


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literature


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computer science


Question: QUANTUM DOT LIGHT EMITTING DIOEDES

engineering


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social sciences


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computer science


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physics


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social sciences


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computer science


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computer science


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psychology


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social sciences


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biology


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business


Question:
Why locomotive diesel engines are more efficient than normal diesel engine.
How much % they are more efficient than normal diesel engines. Tell the exact number

engineering


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finance


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business


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biology


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computer science


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computer science


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computer science


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engineering


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environmental science


Question: Please introduce me to some key papers that formulate the Förster mechanism in a quantum electrodynamic manner.

physics


Question:
Give the Origins and Development of Posthumanist Literature
• Discuss how posthumanism in literature emerged from science fiction, dystopian fiction, cyberpunk, and philosophical discourse.

literature


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computer science


Question: Universal Differential Equation in Cybersecurity

computer science


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agriculture


Question: Relationship of CRP, Ferritin, NLR in prostate cancer

medicine


Question: how to measure fluorescence of mRNA coding gfp?

biology


Question: ISNet: Shape Matters for Infrared Small Target Detection

computer science


Question: give me recent highly cited papers that use  Echo chambers and polarization phenomena to detect the misinformation propagation of bots

computer science


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computer science


Question: what are the sources of cholinergic inputs to the striatum?

neuroscience


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computer science


Question: With time, Lee and Ali (2008) claim that auditing practice became more related to an “enhancing role”, with a special focus on the integrity and credibility of the information provided in financial statements; while Boynton, Jonson, and Kell (2005) declare that, besides enchasing credibility of financial statements, auditors nowadays are providing other services such as reporting on irregularities, identifying business risks, and management consulting on internal controls.

business


Question: Find papers on Dual-arm robots in cooking tasks

robotics


Question: The interaction of HIF1a and PP2A

biology


Question: what is large language modals or llm

computer science


Question: population size and school violence

education


Question: Looking for such research work blocks specific parts of attention in certain layers, thereby improving overall task performance

computer science


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computer science


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computer science


Question: Can you find me datasets for query-context pairs for financial filings

computer science


Question: What benefits do people with aphantasia have

psychology


Question: Integration of extreme weather events into economic damage functions of integrated assessment models

finance


Question: skin irritation problem in Transfemoral prosthesis users

medicine


Question: Omics technologies and their impact on biomedical research.

medicine


Question: Find a paper that using test case or unit case in Emboided AI tasks.

computer science


Question: What is known for human-specific mechanism of brain development?

neuroscience


Question: Can combining affective computing and large language models improve user experience in human-agent interactions?

computer science


Question: How does water quality impact geothermal power generation and the performance of a geothermal power system? Is this impact directly mentioned in the literature, or can it only be inferred indirectly? If directly mentioned, what is the exact quote? If indirectly inferred, what is the logical inference?

engineering


Question:
For low-homology proteins, single-sequence-based prediction methods, such as protein language models, can be explored. Additionally, hybrid approaches that integrate physics-based simulations with deep learning, such as reinforcement learning optimization strategies, may improve prediction accuracy.
Future research directions include expanding AlphaFold’s applications to functional predictions, such as protein complex structures and protein-small molecule interactions, enabling broader applications in biomedicine and drug discovery.

biology


Question: Does dynamic lift exist without viscosity?

physics


Question:
Cross-Layer Design and Joint Optimization
Cross-layer approaches consider joint optimization across
the physical, MAC, and application layers. These protocols
co-design learning performance objectives (e.g., convergence,accuracy) with wireless system constraints (e.g., SNR, delay,
throughput).
a) Joint Scheduling and Power Control:: Resource allo-
cation strategies that align transmission parameters with model
quality and device capabilities.
b) Learning-Aware Beamforming and Channel Selec-
tion:: Adapt wireless links to prioritize important updates or
clients contributing to model generalization.
These designs offer the most holistic performance gains but
require tighter integration with wireless protocol stacks and
real-time network state information.

computer science


Question: Design a mind map about the human circulatory system

biology


Question: what is the origin of the term "data valuation"

computer science


Question: produce a table listing the enzymes, reaction investigated, electrode material, current density and production rate of each example mentioned in the paper Bioelectrocatalytic Synthesis: Concepts and Applications

chemistry


Question: Write about medical imaging

medicine


Question: Why English is more frequently used in sports centers in diverse countries

social sciences


Question: age does not affect the information seeking in social media usage

computer science


Question: What are copying strategies of adaptive cognitive emotional regulation used by breast cancer survivors

psychology


Question: Find the latest research progress on uncertainty estimation in deep learning using Ensemble Methods

computer science


Question: Lead poisoning in pregnant women

medicine


Question: nrel wind power classification 100

environmental science


Question: find papers on the influence of memory encoding techniques to memory retrieval

psychology


Question: Find papers where a large or strong agent collaborates with several small or weak agents that are fine-tuned or trained in a domain-specific manner.

computer science


Question: Hedgehog pathway in cancer sonic hedgehog role

biology


Question: Global view on Cerebrovascular accident

medicine


Question: Can you give me a background on neutron stars, how they were discovered, who discovered them, a basic timeline of major discoveries

physics


Question: find papers about effects of social networks on children in elementary school or children in general. Please prefer papers that are available in WoS

psychology


Question: Applications of AI ML in Construction Scheduling

computer science


Question: seeing and spectatorship in literature

literature


Question: The values people have towards the city

social sciences


Question: Alternative valuation of companies and anomalies

finance


Question:
I'm sorry, but I can't provide specific research papers or patent lists directly. However, I can guide you on how to find relevant studies and patents.

To find research papers:
1. Use academic databases like PubMed, ScienceDirect, or Google Scholar.
2. Search for keywords such as "HA nanowires", "hyaluronic acid injection", "medical aesthetics", etc.
3. Look for recent reviews or studies that discuss the use of hyaluronic acid (HA) nanowires in medical aesthetics.

For patents:
1. Visit patent databases like Google Patents, Espacenet, or the USPTO website.
2. Search for patents related to "HA nanowires" or "injectable hyaluronic acid".
3. Check the publication dates and abstracts to identify relevant patents.

If you need help with understanding search results or interpreting specific findings, feel free to ask!

computer science


Question: How chronic jet lag impact on POA?

neuroscience


Question: Review of pdf table to structured data techniques

computer science


Question: could you give me the references of paper that use graph theory metric to compute different features of transport network such as resilience, robustness, safety, comfort, connectivity, etc.

engineering


Question: Is there any research that supports the repair of fishing nets using computer vision and 3D printers?

engineering


Question: state of the art on using llm to perform logical inferences on variants like description logics

computer science


Question: indicators for urban analysis of residential neighbourhoods with refernces

environmental science


Question: What are the highest thrust to weight electric motors?

engineering


Question: is there any Questionnaires that contain items like "I feel realistic browsing products and interacting with them in the experience"

psychology


Question: customer incivilty has relation with service recovery performance

business


Question: what is the relationship between curriculum learning and adaptive data selection?

computer science


Question: Find papers on using LLM for resume recommendation on person-job fit

computer science


Question: Summarise the paper titled: OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs

computer science


Question: Can you tell me whether pebble bed nuclear reactors can melt down and explain why or why not?

engineering


Question: blood type and UK Biobank

medicine


Question: can you summarises the state of the art of quanta image sensor ?

engineering


Question: Since2020, has there been any significant progress in the study of the sex determination and mixed-mating system of the mangrove rivulus (kryptolebias marmoratus)?

biology


Question: rapid globalization and urbanization transformation of cities use most relevant sources not only latest

urban studies


Question: mass ejected during the LHB

physics


Question: Are there reviews addressing what is not known about immune cell dynamics?

immunology


Question: What are the drawbacks of the monoclonal antibodies currently used to treat myasthenia gravis?

medicine


Question: Find papers in the field of computer security, where university students are used as survey participants.

computer science


Question: to what extent can the adaptation of traditional criminal liability rules be combined with AI-specific deterrence models, in order to guarantee the effective prevention and punishment of Hard AI Crimes, without compromising the fundamental principles of criminal law?

social sciences


Question: Find state-of-the-art method for synthetic MRI/CT/PET images generation enhancing performance in medical classification or segmentation task. Describe method essence, metrics values, dataset, model

computer science


Question: At present, the teaching methods in Chinese colleges and universities are relatively traditional, such as the teaching and evaluation techniques that are usually "class teaching" and "Teacher centered" are relatively simple

education


Question: Languages for creating multimedia document presentations

computer science


Question:
retrieve references for the following: •	Clinical background: Coagulation tests including APTT (Activated Partial Thromboplastin Time ratio), PT-INR (Prothrombin Time-International Normalized Ratio), and platelet count are used in many facilities in Japan for the prepuncture evaluation of coagulation status prior to spinal anesthesia. This is despite the fact that APTT may be prolonged in the absence of coagulopathy. It is also difficult to compare APTT ratios between facilities (and therefore there is no clear evidence supporting the use of thresholds as practice guidelines in this context), and there is literature that APTT and PT-INR are considered inappropriate for monitoring perioperative coagulopathy.
•	Client’s research: In a recent study on the use of thromboelastography to measure the efficiency of blood clotting, Dr Tamura determined that the use of an early amplitude at 10 min could predict maximum amplitude and allow for more rapid determination of the need for blood transfusion products.
•	Opportunity: In the absence of an up-to-date review on the topic, there exists disagreement between evidence and clinical practice regarding the use of coagulation test thresholds prior to administration of spinal anesthesia. An opportunity exists to clarify the accuracy and appropriateness of coagulopathy evaluation options by summarizing the recent literature in this specific clinical context.
•	Proposal: We propose a narrative literature review that summarizes the latest relevant research on the reliability of APTT, PT, PT-INR tests and thresholds based on these tests to evaluate coagulation status perioperatively and in particular prior to puncture for spinal anesthesia.

medicine


Question: Is there any work that provides some type of embedding for the phoneme of a text sequence? I'm interested in computing the phonetic similarity of two text sequences

computer science


Question: find papers about Cooperative multi-agent RL

computer science


Question: Show the detailed steps for Query, Key, and Value Transformations: The embedded input sequence is then transformed into query (Q), key (K), and value (V) matrices through linear projections. These linear transformations are typically implemented using learnable weight matrices WQ, WK, and WV, respectively.  Assume the text input is "The world keeps spinning" and the embedding dimension is a simple 4.  In addition assume that ROPE is used for position encoding.

computer science


Question: GenAI in Creativity design

computer science


Question: find paper on the following topic "Extracellular vesicle–based drug delivery in cancer immunotherapy"

medicine


Question: Vanilla LLM offers improvements through its ability to analyze unstructured policy documents and provide contextual interpretation

computer science


Question:
Get possible citation for this statement

The use of large language models (LLMs) for misinformation detection has seen rapid growth, especially in social media contexts

computer science


Question: sar object detection and recognition

computer science


Question: Malaria Control Programmes in Nigeria

medicine


Question: state of art of LLM Agents

computer science


Question: chinese text optical character recognition document

computer science


Question: Please explain how embedding models can be evaluated after finetuning to indicate improvement in semantic enrichment and retrieval capabilities.

computer science


Question: Digital Immortality in Digital Mourning

digital humanities


Question: find papers on this topic: vision language model calibration

computer science


Question: wind energy technological impact

engineering


Question: end to end autonomous vehicle deep learning model

computer science


Question: Multimedia documents adaptation approaches

computer science


Question: Find papers on the topic group Communication in Distributed Systems

computer science


Question: Find papers related to e-government and the ability to complete tasks online

social sciences


Question: synthetic enhanced medical image ct deep learning

computer science


Question: does the cerebellum participate in predictive coding?

neuroscience


Question: what are recent papers introducing methods for llm evaluation

computer science


Question: Provide me with a comprehensive and representative overview of societal challenges in the domains of agriculture and food systems, with a specific focus on regenerative agriculture.

agriculture


Question: Attachment style and coping mechanism

psychology


Question: find papers on using google trends on unemployment forecasts

finance


Question: Rule base format reward plus LLM scoring reward

computer science


Question: USE OF AI IN OSAS

medicine


Question: How do centrioles duplicate?

biology


Question: The core goal of the Industrial Internet

computer science


Question: Pre-excitation is a term that refers to the premature activation of the ventricles. Previously used when referring to Wolff-Parkinson-White (WPW), pre-excitation has been expanded to include any rhythm with antegrade ventricular or retrograde atrial activation via an accessory pathway. These pathways may be partially or completely separate from the normal conduction system. The Lown-Ganong-Levine (LGL) pattern was described in 1952 by Bernard Lown, William Francis Ganong, and Samual Levine and is theorized to involve an accessory pathway that partially or completely bypasses the atrioventricular (AV) node resulting in the direct activation of the bundle of His by the sinoatrial (SA) node. Lown-Ganong-Levine (LGL) syndrome is an outdated clinical diagnosis with no known unique underlying anatomic correlate.

medicine


Question: Benefits of using deep learning for data governance

computer science


Question: Is hydrogen a greenhouse gas?

environmental science


Question: Literature Review on Blended Learning's Impact on Motivation and Interest

education


Question: Is there any work in law domain using small language models?

computer science


Question: Electronic bridge communication for inorganic complexes

chemistry


Question: i need to generate syntetic questions and aswers, what is the best temperature to the llm?

computer science


Question: the impact of communication competence/skills on therapeutic relationship

psychology


Question: recent research about image classification

computer science


Question: Please write a review on recent advancements in generative models.

computer science


Question: machine learning as surrogate model in energy system model to study uncertainty

environmental science


Question: a small introduction to he history off coffee

social sciences


Question: Is it important to understand the main complaint of the patient in orthodontic treatment?

medicine


Question: **Review a journal on "Deep Reinforcement Learning by Balancing Offline Monte Carlo and Online Temporal Difference Use".**

computer science


Question: How to classify or identify malicous software within cyber threat intelligence data

computer science


Question: How to characterize cation disorder in structures

engineering


Question: Authentic and official statistics on the number of disasters and their types in the world, Asia, Iran, Kohgiluyeh and Boyer Ahmad provinces, Yasuj city

disaster management


Question: explain the prevalence of toxicity in the gaming sphere

psychology


Question: What are the last papers written about P=NP?

computer science


Question:
find related work to below
HuRef: HUman-REadable Fingerprint
for Large Language Models

computer science


Question: limitation of  Code Editing benchmark

computer science


Question: Are there any papers that discuss changes in vascular pathology in the tumor microenvironment?

medicine


Question: Day to night image transformation for light design purposes

computer science


Question: What's regularization techniques in machine learning ?

computer science


Question: belief updating as inversion using CVAEs for POMDPs

computer science


Question: How does alloying aluminium into gallium oxide change the stability of polymorph

engineering


Question: I want to adapt the PRM algorithm to along robot.

computer science


Question: while genome editing technologies like CRISPR-Cas9 have accelerated functional genomics, automating target validation remains an ongoing challenge.

biology


Question: can you find works that discuss BERTs next sentence prediction objective and show evidence against its effectiveness

computer science


Question: traffic or human mobility prediction of cyberspace dependency

computer science


Question: what are the Challenges in Nursing Leadership Development in Pakistan

medicine


Question: explain how emoji functions can develop since 2014

computer science


Question: what is the effect of using calculators on our aiblity to do math?

education


Question: ImVoxelNet is a model for 3D object detection using posed RGB images. Are there any newer models that do this?

computer science


Question: how to write a paper proposal regarding Corporate governance, financing and gender and connect it with ESG practices, especially enviornmental sustainability

business


Question:
HCI Research: Focus on user needs for children’s educational apps, interaction design for young users, and any existing applications with similar purposes.
HCI Theory: Highlight relevant HCI concepts, such as affordances, feedback, and user-friendly design tailored to children.
We’ll begin by identifying key topics and academic papers for the HCI Research section. Here’s what we can look for:

Studies on children's engagement with educational apps.
Interaction patterns and usability challenges for young users.
Examples of apps or systems that involve nature exploration or learning.
find some paper

computer science


Question: Does anyone do stuff with combining latent encodings (like arithmetic operations in latent space) for diffusion models?

computer science


Question: drum fill-in beat generation in MIR Deep learning

computer science


Question: Involving learners in assessment design – should students have a say in how they are assessed? How effective would this be?

education


Question: LLM abliteration and other methods

computer science


Question: How do different LLM training components (supervised fine-tuning and alignment training) affect the model's learned distributions, particularly regarding cultural values and societal biases?

computer science


Question: The Lifecycle of a Lithium-Ion Battery in the Cell Production and Assembly Stage

engineering


Question: is all you need

computer science


Question: Is eugenol the main component of clove essential oil and does it have antiseptic, antimicrobial, and anesthetic properties?

chemistry


Question: why it might be a problem for language model regurgitate pre-training data?

computer science


Question: Arginine and phenylalanine, especially with hydrophobic amino acids ( such as valine, alanine, leucine, etc. ) in the presence of peptides, can enhance the affinity of peptides and enzyme active sites, often showing a strong tyrosinase inhibition.

biology


Question: Find papers on marker gene finding in bulk RNA-seq data.

biology


Question: What responsibilities do chefs have professionally?

business


Question: rainfall estimation from satellite data

physics


Question: What are the mechanisms and benefits of skipping and early stopping in skimming techniques for NLP?

computer science


Question: Find papers on troubleshooting AI agent

computer science


Question: Real-world adherence assessment of elinmate food effect of Lurasidone

medicine


Question: which knowledge graph based approaches are there in autonomous driving?

computer science


Question: Academic paper on inventory management with relevant citations, theories, background and problem statement

business


Question: Stakeholder Interactions and Ecosystem Formation in Generative AI: Analyzing Power, Rules, and Relationships

computer science


Question: Are there any benchmarks for code migration or version updates that have been used to test out AI software development agents?

computer science


Question: p300 deep learning classification

neuroscience


Question: electronic transport in graphene

physics


Question: What evidence exists on the impact of teacher-written feedback on students’ EFL writing performance EFL?”

applied linguistics


Question: Comparison of the effectiveness of pharmacological and non-pharmacological treatments for children with ADHD

medicine


Question: Theroy , method and Practise of Remote Sensing Exploration of Co-associated Minerals in Coal Measures in Hebei Province, China

earth sciences


Question: What are some papers that discuss open science in connection with large language models?

computer science


Question:
which TIME SERIES MODELS best for prediction of next 5 closing price from ohlc data for day trading?

Autoformer

Informer

PatchTSMixer

PatchTST

Time Series Transformer

computer science


Question: How does hydrogen gas emanation affect the mineral composition of soils?

environmental science


Question: what's the SoTA multi-modal OCR model? What's the best OCR dataset?

computer science


Question: Future applications of the internet of nanothings

computer science


Question: Find papers from 2024 that talk about the impact of AI (in particular large language models) on jobs (better if there's a description by job categories). List the papers and present their findings with respect to the impact of AI on jobs

finance


Question: Are there any articles that address the problem of hierarchical fusion between coarse-grained and fine-grained data? Specifically refers to the fusion of Bi-granularity Relevance data Fusion.

computer science


Question: Multi-tier AI processing” AND (Edge computing OR Fog computing OR Cloud computing) AND (machine learning OR deep learning OR NLP) AND IoT AND (real estate OR property management OR urban planning) AND (data privacy OR interoperability OR scalability OR resource constraints)

computer science


Question: use of chat gpt in nursing profession Find on this topic

medicine


Question: what are prominent papers about mulit-agent communication?

computer science


Question: is there any paper related to the 2D canine markerless motion capture based on deep learning?

computer science


Question: Proportion of people with schizophrenia who have eating problems

psychology


Question: Brief in-depth multi-view clustering review of recent advances, requiring logical coherence and simplicity

computer science


Question: Signal processing and machine learning as regards digital twin in health care.

medicine


Question: Which feedstuffs (both traditional and newly developed approaches) lead to cattle emitting less methane through their digestion than when fed with conventional concentrated feed?

biology


Question: Nigeria situation on Cerebrovascular accident

medicine


Question: Find papers on imaging of rectal cancer

medicine


Question: Demand Allocation in the VRPTW problem.

math


Question: Autonomous driving work on the trajectory prediction and occlusion inference

computer science


Question: the importance of where question in GIS

environmental science


Question: Customized image generation solves the problem of data scarcity in autonomous driving

computer science


Question: find papers on data storytelling

computer science


Question: Find papers on topic model editing

computer science


Question: Aren't carboxylic acids highly capable of inducing oxidative stress due to their chelating ability?

chemistry


Question: Coverage Bias: Can you please provide a literature review?

math


Question: Find papers on eye tracking published in SIGCHI conference.

computer science


Question: some research about PbTiO3

engineering


Question: Smart additions to retrofitting of heritage building

architecture


Question: Please help me find papers like the one about using two images as input to a neural network to get the angle between them.

computer science


Question: teaching mode，teaching approach and learning style

education


Question: Low pressure systems increase  intensity in Morocco winter

physics


Question: how can we generate synthetic data ethical by design

computer science


Question: What is the saturated hydraulic conductivity of surface soils in forested areas in Japan?

environmental science