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Collections including paper arxiv:2412.01981

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
Orion-14B: Open-source Multilingual Large Language Models

Paper • 2401.12246 • Published Jan 20, 2024 • 14
MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24, 2024 • 60
MM-LLMs: Recent Advances in MultiModal Large Language Models

Paper • 2401.13601 • Published Jan 24, 2024 • 48

ShowAndTell-2024-12-03

Beyond Examples: High-level Automated Reasoning Paradigm in In-Context Learning via MCTS

Paper • 2411.18478 • Published Nov 27, 2024 • 37
o1-Coder: an o1 Replication for Coding

Paper • 2412.00154 • Published Nov 29, 2024 • 44
A Simple and Provable Scaling Law for the Test-Time Compute of Large Language Models

Paper • 2411.19477 • Published Nov 29, 2024 • 6
Reverse Thinking Makes LLMs Stronger Reasoners

Paper • 2411.19865 • Published Nov 29, 2024 • 23

A Comparative Study on Reasoning Patterns of OpenAI's o1 Model

Paper • 2410.13639 • Published Oct 17, 2024 • 19
Unleashing Reasoning Capability of LLMs via Scalable Question Synthesis from Scratch

Paper • 2410.18693 • Published Oct 24, 2024 • 42
U-MATH: A University-Level Benchmark for Evaluating Mathematical Skills in LLMs

Paper • 2412.03205 • Published Dec 4, 2024 • 18
Free Process Rewards without Process Labels

Paper • 2412.01981 • Published Dec 2, 2024 • 34

Free Process Rewards without Process Labels

Paper • 2412.01981 • Published Dec 2, 2024 • 34
ProcessBench: Identifying Process Errors in Mathematical Reasoning

Paper • 2412.06559 • Published Dec 9, 2024 • 84
RATIONALYST: Pre-training Process-Supervision for Improving Reasoning

Paper • 2410.01044 • Published Oct 1, 2024 • 35
Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision

Paper • 2411.16579 • Published Nov 25, 2024 • 3

Rethinking Data Selection at Scale: Random Selection is Almost All You Need

Paper • 2410.09335 • Published Oct 12, 2024 • 16
From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning

Paper • 2410.06456 • Published Oct 9, 2024 • 37
Emergent properties with repeated examples

Paper • 2410.07041 • Published Oct 9, 2024 • 8
Personalized Visual Instruction Tuning

Paper • 2410.07113 • Published Oct 9, 2024 • 70

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

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
Orion-14B: Open-source Multilingual Large Language Models

Paper • 2401.12246 • Published Jan 20, 2024 • 14
MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24, 2024 • 60
MM-LLMs: Recent Advances in MultiModal Large Language Models

Paper • 2401.13601 • Published Jan 24, 2024 • 48

Free Process Rewards without Process Labels

Paper • 2412.01981 • Published Dec 2, 2024 • 34
ProcessBench: Identifying Process Errors in Mathematical Reasoning

Paper • 2412.06559 • Published Dec 9, 2024 • 84
RATIONALYST: Pre-training Process-Supervision for Improving Reasoning

Paper • 2410.01044 • Published Oct 1, 2024 • 35
Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision

Paper • 2411.16579 • Published Nov 25, 2024 • 3

ShowAndTell-2024-12-03

Beyond Examples: High-level Automated Reasoning Paradigm in In-Context Learning via MCTS

Paper • 2411.18478 • Published Nov 27, 2024 • 37
o1-Coder: an o1 Replication for Coding

Paper • 2412.00154 • Published Nov 29, 2024 • 44
A Simple and Provable Scaling Law for the Test-Time Compute of Large Language Models

Paper • 2411.19477 • Published Nov 29, 2024 • 6
Reverse Thinking Makes LLMs Stronger Reasoners

Paper • 2411.19865 • Published Nov 29, 2024 • 23

Rethinking Data Selection at Scale: Random Selection is Almost All You Need

Paper • 2410.09335 • Published Oct 12, 2024 • 16
From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning

Paper • 2410.06456 • Published Oct 9, 2024 • 37
Emergent properties with repeated examples

Paper • 2410.07041 • Published Oct 9, 2024 • 8
Personalized Visual Instruction Tuning

Paper • 2410.07113 • Published Oct 9, 2024 • 70

A Comparative Study on Reasoning Patterns of OpenAI's o1 Model

Paper • 2410.13639 • Published Oct 17, 2024 • 19
Unleashing Reasoning Capability of LLMs via Scalable Question Synthesis from Scratch

Paper • 2410.18693 • Published Oct 24, 2024 • 42
U-MATH: A University-Level Benchmark for Evaluating Mathematical Skills in LLMs

Paper • 2412.03205 • Published Dec 4, 2024 • 18
Free Process Rewards without Process Labels

Paper • 2412.01981 • Published Dec 2, 2024 • 34

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

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