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Collections including paper arxiv:2412.16849

OpenRFT: Adapting Reasoning Foundation Model for Domain-specific Tasks with Reinforcement Fine-Tuning

Paper • 2412.16849 • Published Dec 22, 2024 • 9
Offline Reinforcement Learning for LLM Multi-Step Reasoning

Paper • 2412.16145 • Published Dec 20, 2024 • 38
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Paper • 2501.12948 • Published Jan 22 • 420

Extending Llama-3's Context Ten-Fold Overnight

Paper • 2404.19553 • Published Apr 30, 2024 • 34
ReFT: Representation Finetuning for Language Models

Paper • 2404.03592 • Published Apr 4, 2024 • 101
Why do small language models underperform? Studying Language Model Saturation via the Softmax Bottleneck

Paper • 2404.07647 • Published Apr 11, 2024 • 4
SciGLM: Training Scientific Language Models with Self-Reflective Instruction Annotation and Tuning

Paper • 2401.07950 • Published Jan 15, 2024 • 4

Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering

Paper • 2411.11504 • Published Nov 18, 2024 • 23
Top-nσ: Not All Logits Are You Need

Paper • 2411.07641 • Published Nov 12, 2024 • 23
Adaptive Decoding via Latent Preference Optimization

Paper • 2411.09661 • Published Nov 14, 2024 • 10
When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training

Paper • 2411.13476 • Published Nov 20, 2024 • 16

interest_need_read

感兴趣热门论文集合

ProcessBench: Identifying Process Errors in Mathematical Reasoning

Paper • 2412.06559 • Published Dec 9, 2024 • 84
Maya: An Instruction Finetuned Multilingual Multimodal Model

Paper • 2412.07112 • Published Dec 10, 2024 • 28
OpenAI o1 System Card

Paper • 2412.16720 • Published Dec 21, 2024 • 35
Diving into Self-Evolving Training for Multimodal Reasoning

Paper • 2412.17451 • Published Dec 23, 2024 • 43

Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers

Paper • 2408.06195 • Published Aug 12, 2024 • 73
Thinking LLMs: General Instruction Following with Thought Generation

Paper • 2410.10630 • Published Oct 14, 2024 • 21
Democratizing Reasoning Ability: Tailored Learning from Large Language Model

Paper • 2310.13332 • Published Oct 20, 2023 • 16
OpenRFT: Adapting Reasoning Foundation Model for Domain-specific Tasks with Reinforcement Fine-Tuning

Paper • 2412.16849 • Published Dec 22, 2024 • 9

ORPO: Monolithic Preference Optimization without Reference Model

Paper • 2403.07691 • Published Mar 12, 2024 • 69
sDPO: Don't Use Your Data All at Once

Paper • 2403.19270 • Published Mar 28, 2024 • 41
Teaching Large Language Models to Reason with Reinforcement Learning

Paper • 2403.04642 • Published Mar 7, 2024 • 50
Best Practices and Lessons Learned on Synthetic Data for Language Models

Paper • 2404.07503 • Published Apr 11, 2024 • 31

OpenRFT: Adapting Reasoning Foundation Model for Domain-specific Tasks with Reinforcement Fine-Tuning

Paper • 2412.16849 • Published Dec 22, 2024 • 9
Offline Reinforcement Learning for LLM Multi-Step Reasoning

Paper • 2412.16145 • Published Dec 20, 2024 • 38
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Paper • 2501.12948 • Published Jan 22 • 420

interest_need_read

感兴趣热门论文集合

ProcessBench: Identifying Process Errors in Mathematical Reasoning

Paper • 2412.06559 • Published Dec 9, 2024 • 84
Maya: An Instruction Finetuned Multilingual Multimodal Model

Paper • 2412.07112 • Published Dec 10, 2024 • 28
OpenAI o1 System Card

Paper • 2412.16720 • Published Dec 21, 2024 • 35
Diving into Self-Evolving Training for Multimodal Reasoning

Paper • 2412.17451 • Published Dec 23, 2024 • 43

Extending Llama-3's Context Ten-Fold Overnight

Paper • 2404.19553 • Published Apr 30, 2024 • 34
ReFT: Representation Finetuning for Language Models

Paper • 2404.03592 • Published Apr 4, 2024 • 101
Why do small language models underperform? Studying Language Model Saturation via the Softmax Bottleneck

Paper • 2404.07647 • Published Apr 11, 2024 • 4
SciGLM: Training Scientific Language Models with Self-Reflective Instruction Annotation and Tuning

Paper • 2401.07950 • Published Jan 15, 2024 • 4

Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers

Paper • 2408.06195 • Published Aug 12, 2024 • 73
Thinking LLMs: General Instruction Following with Thought Generation

Paper • 2410.10630 • Published Oct 14, 2024 • 21
Democratizing Reasoning Ability: Tailored Learning from Large Language Model

Paper • 2310.13332 • Published Oct 20, 2023 • 16
OpenRFT: Adapting Reasoning Foundation Model for Domain-specific Tasks with Reinforcement Fine-Tuning

Paper • 2412.16849 • Published Dec 22, 2024 • 9

Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering

Paper • 2411.11504 • Published Nov 18, 2024 • 23
Top-nσ: Not All Logits Are You Need

Paper • 2411.07641 • Published Nov 12, 2024 • 23
Adaptive Decoding via Latent Preference Optimization

Paper • 2411.09661 • Published Nov 14, 2024 • 10
When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training

Paper • 2411.13476 • Published Nov 20, 2024 • 16

ORPO: Monolithic Preference Optimization without Reference Model

Paper • 2403.07691 • Published Mar 12, 2024 • 69
sDPO: Don't Use Your Data All at Once

Paper • 2403.19270 • Published Mar 28, 2024 • 41
Teaching Large Language Models to Reason with Reinforcement Learning

Paper • 2403.04642 • Published Mar 7, 2024 • 50
Best Practices and Lessons Learned on Synthetic Data for Language Models

Paper • 2404.07503 • Published Apr 11, 2024 • 31

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