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Collections including paper arxiv:2412.04315

Video Creation by Demonstration

Paper • 2412.09551 • Published Dec 12, 2024 • 9
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation

Paper • 2412.07589 • Published Dec 10, 2024 • 48
Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation

Paper • 2412.06531 • Published Dec 9, 2024 • 72
APOLLO: SGD-like Memory, AdamW-level Performance

Paper • 2412.05270 • Published Dec 6, 2024 • 38

The Impact of Hyperparameters on Large Language Model Inference Performance: An Evaluation of vLLM and HuggingFace Pipelines

Paper • 2408.01050 • Published Aug 2, 2024 • 9
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Paper • 2408.03314 • Published Aug 6, 2024 • 63
Towards a Unified View of Preference Learning for Large Language Models: A Survey

Paper • 2409.02795 • Published Sep 4, 2024 • 72
Paper Copilot: A Self-Evolving and Efficient LLM System for Personalized Academic Assistance

Paper • 2409.04593 • Published Sep 6, 2024 • 26

GAIA: a benchmark for General AI Assistants

Paper • 2311.12983 • Published Nov 21, 2023 • 241
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI

Paper • 2311.16502 • Published Nov 27, 2023 • 37
BLINK: Multimodal Large Language Models Can See but Not Perceive

Paper • 2404.12390 • Published Apr 18, 2024 • 26
RULER: What's the Real Context Size of Your Long-Context Language Models?

Paper • 2404.06654 • Published Apr 9, 2024 • 39

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval

Paper • 2409.10516 • Published Sep 16, 2024 • 43
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse

Paper • 2409.11242 • Published Sep 17, 2024 • 7
Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models

Paper • 2409.11136 • Published Sep 17, 2024 • 22
On the Diagram of Thought

Paper • 2409.10038 • Published Sep 16, 2024 • 13

LM Capabilities and Scaling

Compression Represents Intelligence Linearly

Paper • 2404.09937 • Published Apr 15, 2024 • 28
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Paper • 2404.06395 • Published Apr 9, 2024 • 24
Long-context LLMs Struggle with Long In-context Learning

Paper • 2404.02060 • Published Apr 2, 2024 • 37
Are large language models superhuman chemists?

Paper • 2404.01475 • Published Apr 1, 2024 • 19

UT5: Pretraining Non autoregressive T5 with unrolled denoising

Paper • 2311.08552 • Published Nov 14, 2023 • 8
Rethinking Attention: Exploring Shallow Feed-Forward Neural Networks as an Alternative to Attention Layers in Transformers

Paper • 2311.10642 • Published Nov 17, 2023 • 26
Densing Law of LLMs

Paper • 2412.04315 • Published Dec 5, 2024 • 19

Video Creation by Demonstration

Paper • 2412.09551 • Published Dec 12, 2024 • 9
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation

Paper • 2412.07589 • Published Dec 10, 2024 • 48
Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation

Paper • 2412.06531 • Published Dec 9, 2024 • 72
APOLLO: SGD-like Memory, AdamW-level Performance

Paper • 2412.05270 • Published Dec 6, 2024 • 38

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval

Paper • 2409.10516 • Published Sep 16, 2024 • 43
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse

Paper • 2409.11242 • Published Sep 17, 2024 • 7
Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models

Paper • 2409.11136 • Published Sep 17, 2024 • 22
On the Diagram of Thought

Paper • 2409.10038 • Published Sep 16, 2024 • 13

The Impact of Hyperparameters on Large Language Model Inference Performance: An Evaluation of vLLM and HuggingFace Pipelines

Paper • 2408.01050 • Published Aug 2, 2024 • 9
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Paper • 2408.03314 • Published Aug 6, 2024 • 63
Towards a Unified View of Preference Learning for Large Language Models: A Survey

Paper • 2409.02795 • Published Sep 4, 2024 • 72
Paper Copilot: A Self-Evolving and Efficient LLM System for Personalized Academic Assistance

Paper • 2409.04593 • Published Sep 6, 2024 • 26

LM Capabilities and Scaling

Compression Represents Intelligence Linearly

Paper • 2404.09937 • Published Apr 15, 2024 • 28
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Paper • 2404.06395 • Published Apr 9, 2024 • 24
Long-context LLMs Struggle with Long In-context Learning

Paper • 2404.02060 • Published Apr 2, 2024 • 37
Are large language models superhuman chemists?

Paper • 2404.01475 • Published Apr 1, 2024 • 19

GAIA: a benchmark for General AI Assistants

Paper • 2311.12983 • Published Nov 21, 2023 • 241
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI

Paper • 2311.16502 • Published Nov 27, 2023 • 37
BLINK: Multimodal Large Language Models Can See but Not Perceive

Paper • 2404.12390 • Published Apr 18, 2024 • 26
RULER: What's the Real Context Size of Your Long-Context Language Models?

Paper • 2404.06654 • Published Apr 9, 2024 • 39

UT5: Pretraining Non autoregressive T5 with unrolled denoising

Paper • 2311.08552 • Published Nov 14, 2023 • 8
Rethinking Attention: Exploring Shallow Feed-Forward Neural Networks as an Alternative to Attention Layers in Transformers

Paper • 2311.10642 • Published Nov 17, 2023 • 26
Densing Law of LLMs

Paper • 2412.04315 • Published Dec 5, 2024 • 19

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