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StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization
Paper • 2410.08815 • Published • 47 -
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning
Paper • 2304.14856 • Published • 1 -
xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
Paper • 2405.13792 • Published • 1 -
Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models
Paper • 2404.04522 • Published
Collections
Discover the best community collections!
Collections including paper arxiv:2409.11901
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LLMs + Persona-Plug = Personalized LLMs
Paper • 2409.11901 • Published • 35 -
LightRAG: Simple and Fast Retrieval-Augmented Generation
Paper • 2410.05779 • Published • 30 -
SmolVLM: Redefining small and efficient multimodal models
Paper • 2504.05299 • Published • 205 -
PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides
Paper • 2501.03936 • Published • 23
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EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction
Paper • 2401.06201 • Published • 2 -
A Diversity-Promoting Objective Function for Neural Conversation Models
Paper • 1510.03055 • Published • 1 -
Regression Language Models for Code
Paper • 2509.26476 • Published • 17 -
Persona-L has Entered the Chat: Leveraging LLM and Ability-based Framework for Personas of People with Complex Needs
Paper • 2409.15604 • Published
-
LLMs + Persona-Plug = Personalized LLMs
Paper • 2409.11901 • Published • 35 -
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
Paper • 2409.12183 • Published • 39 -
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems
Paper • 2402.12875 • Published • 13 -
TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices
Paper • 2410.00531 • Published • 33
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What You Say = What You Want? Teaching Humans to Articulate Requirements for LLMs
Paper • 2409.08775 • Published -
OmniQuery: Contextually Augmenting Captured Multimodal Memory to Enable Personal Question Answering
Paper • 2409.08250 • Published • 1 -
Synthetic continued pretraining
Paper • 2409.07431 • Published • 5 -
WonderWorld: Interactive 3D Scene Generation from a Single Image
Paper • 2406.09394 • Published • 3
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Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
Paper • 2509.15591 • Published • 45 -
A Survey on Latent Reasoning
Paper • 2507.06203 • Published • 93 -
Quantized Evolution Strategies: High-precision Fine-tuning of Quantized LLMs at Low-precision Cost
Paper • 2602.03120 • Published • 1 -
TADA! Tuning Audio Diffusion Models through Activation Steering
Paper • 2602.11910 • Published • 2
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SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning
Paper • 2409.05556 • Published • 2 -
Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
Paper • 2409.04109 • Published • 48 -
A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor?
Paper • 2409.15277 • Published • 38 -
Learning Task Decomposition to Assist Humans in Competitive Programming
Paper • 2406.04604 • Published • 4
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Bootstrapping Language Models with DPO Implicit Rewards
Paper • 2406.09760 • Published • 41 -
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence
Paper • 2406.11931 • Published • 69 -
Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs
Paper • 2406.14544 • Published • 35 -
Instruction Pre-Training: Language Models are Supervised Multitask Learners
Paper • 2406.14491 • Published • 96
-
StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization
Paper • 2410.08815 • Published • 47 -
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning
Paper • 2304.14856 • Published • 1 -
xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
Paper • 2405.13792 • Published • 1 -
Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models
Paper • 2404.04522 • Published
-
Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
Paper • 2509.15591 • Published • 45 -
A Survey on Latent Reasoning
Paper • 2507.06203 • Published • 93 -
Quantized Evolution Strategies: High-precision Fine-tuning of Quantized LLMs at Low-precision Cost
Paper • 2602.03120 • Published • 1 -
TADA! Tuning Audio Diffusion Models through Activation Steering
Paper • 2602.11910 • Published • 2
-
LLMs + Persona-Plug = Personalized LLMs
Paper • 2409.11901 • Published • 35 -
LightRAG: Simple and Fast Retrieval-Augmented Generation
Paper • 2410.05779 • Published • 30 -
SmolVLM: Redefining small and efficient multimodal models
Paper • 2504.05299 • Published • 205 -
PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides
Paper • 2501.03936 • Published • 23
-
EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction
Paper • 2401.06201 • Published • 2 -
A Diversity-Promoting Objective Function for Neural Conversation Models
Paper • 1510.03055 • Published • 1 -
Regression Language Models for Code
Paper • 2509.26476 • Published • 17 -
Persona-L has Entered the Chat: Leveraging LLM and Ability-based Framework for Personas of People with Complex Needs
Paper • 2409.15604 • Published
-
SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning
Paper • 2409.05556 • Published • 2 -
Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
Paper • 2409.04109 • Published • 48 -
A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor?
Paper • 2409.15277 • Published • 38 -
Learning Task Decomposition to Assist Humans in Competitive Programming
Paper • 2406.04604 • Published • 4
-
LLMs + Persona-Plug = Personalized LLMs
Paper • 2409.11901 • Published • 35 -
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
Paper • 2409.12183 • Published • 39 -
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems
Paper • 2402.12875 • Published • 13 -
TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices
Paper • 2410.00531 • Published • 33
-
What You Say = What You Want? Teaching Humans to Articulate Requirements for LLMs
Paper • 2409.08775 • Published -
OmniQuery: Contextually Augmenting Captured Multimodal Memory to Enable Personal Question Answering
Paper • 2409.08250 • Published • 1 -
Synthetic continued pretraining
Paper • 2409.07431 • Published • 5 -
WonderWorld: Interactive 3D Scene Generation from a Single Image
Paper • 2406.09394 • Published • 3
-
Bootstrapping Language Models with DPO Implicit Rewards
Paper • 2406.09760 • Published • 41 -
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence
Paper • 2406.11931 • Published • 69 -
Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs
Paper • 2406.14544 • Published • 35 -
Instruction Pre-Training: Language Models are Supervised Multitask Learners
Paper • 2406.14491 • Published • 96