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Collections including paper arxiv:2411.08147

To Read collection

interesting papers to read

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Paper • 2503.24290 • Published Mar 31 • 62
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24 • 119
START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published Mar 6 • 113
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 142

Self-improving LLMs

Self-Taught Self-Correction for Small Language Models

Paper • 2503.08681 • Published Mar 11 • 15
Self-Improving Robust Preference Optimization

Paper • 2406.01660 • Published Jun 3, 2024 • 20
LADDER: Self-Improving LLMs Through Recursive Problem Decomposition

Paper • 2503.00735 • Published Mar 2 • 23
Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Paper • 2407.19594 • Published Jul 28, 2024 • 21

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

Large Language Models Can Self-Improve in Long-context Reasoning

Paper • 2411.08147 • Published Nov 12, 2024 • 66

Large Language Models Can Self-Improve in Long-context Reasoning

Paper • 2411.08147 • Published Nov 12, 2024 • 66
SageAttention2 Technical Report: Accurate 4 Bit Attention for Plug-and-play Inference Acceleration

Paper • 2411.10958 • Published Nov 17, 2024 • 55
SSRL: Self-Search Reinforcement Learning

Paper • 2508.10874 • Published Aug 14 • 97

Think Twice: Enhancing LLM Reasoning by Scaling Multi-round Test-time Thinking

Paper • 2503.19855 • Published Mar 25 • 29
Large Language Models Can Self-Improve in Long-context Reasoning

Paper • 2411.08147 • Published Nov 12, 2024 • 66

Reasoning, Thinking, RL and Test-Time Scaling

Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search

Paper • 2412.18319 • Published Dec 24, 2024 • 39
Token-Budget-Aware LLM Reasoning

Paper • 2412.18547 • Published Dec 24, 2024 • 46
Efficiently Serving LLM Reasoning Programs with Certaindex

Paper • 2412.20993 • Published Dec 30, 2024 • 37
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

Paper • 2412.17256 • Published Dec 23, 2024 • 47

Phi-4 Technical Report

Paper • 2412.08905 • Published Dec 12, 2024 • 122
Evaluating and Aligning CodeLLMs on Human Preference

Paper • 2412.05210 • Published Dec 6, 2024 • 50
Evaluating Language Models as Synthetic Data Generators

Paper • 2412.03679 • Published Dec 4, 2024 • 48
Yi-Lightning Technical Report

Paper • 2412.01253 • Published Dec 2, 2024 • 28

Large Language Models Can Self-Improve in Long-context Reasoning

Paper • 2411.08147 • Published Nov 12, 2024 • 66
Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering

Paper • 2411.11504 • Published Nov 18, 2024 • 23
Auto-Evolve: Enhancing Large Language Model's Performance via Self-Reasoning Framework

Paper • 2410.06328 • Published Oct 8, 2024 • 2
Critical Tokens Matter: Token-Level Contrastive Estimation Enhence LLM's Reasoning Capability

Paper • 2411.19943 • Published Nov 29, 2024 • 63

Large Language Models Can Self-Improve in Long-context Reasoning

Paper • 2411.08147 • Published Nov 12, 2024 • 66
Reverse Thinking Makes LLMs Stronger Reasoners

Paper • 2411.19865 • Published Nov 29, 2024 • 23
Training Large Language Models to Reason in a Continuous Latent Space

Paper • 2412.06769 • Published Dec 9, 2024 • 90
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs

Paper • 2412.18925 • Published Dec 25, 2024 • 104

To Read collection

interesting papers to read

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Paper • 2503.24290 • Published Mar 31 • 62
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24 • 119
START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published Mar 6 • 113
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 142

Think Twice: Enhancing LLM Reasoning by Scaling Multi-round Test-time Thinking

Paper • 2503.19855 • Published Mar 25 • 29
Large Language Models Can Self-Improve in Long-context Reasoning

Paper • 2411.08147 • Published Nov 12, 2024 • 66

Self-improving LLMs

Self-Taught Self-Correction for Small Language Models

Paper • 2503.08681 • Published Mar 11 • 15
Self-Improving Robust Preference Optimization

Paper • 2406.01660 • Published Jun 3, 2024 • 20
LADDER: Self-Improving LLMs Through Recursive Problem Decomposition

Paper • 2503.00735 • Published Mar 2 • 23
Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Paper • 2407.19594 • Published Jul 28, 2024 • 21

Reasoning, Thinking, RL and Test-Time Scaling

Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search

Paper • 2412.18319 • Published Dec 24, 2024 • 39
Token-Budget-Aware LLM Reasoning

Paper • 2412.18547 • Published Dec 24, 2024 • 46
Efficiently Serving LLM Reasoning Programs with Certaindex

Paper • 2412.20993 • Published Dec 30, 2024 • 37
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

Paper • 2412.17256 • Published Dec 23, 2024 • 47

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

Phi-4 Technical Report

Paper • 2412.08905 • Published Dec 12, 2024 • 122
Evaluating and Aligning CodeLLMs on Human Preference

Paper • 2412.05210 • Published Dec 6, 2024 • 50
Evaluating Language Models as Synthetic Data Generators

Paper • 2412.03679 • Published Dec 4, 2024 • 48
Yi-Lightning Technical Report

Paper • 2412.01253 • Published Dec 2, 2024 • 28

Large Language Models Can Self-Improve in Long-context Reasoning

Paper • 2411.08147 • Published Nov 12, 2024 • 66

Large Language Models Can Self-Improve in Long-context Reasoning

Paper • 2411.08147 • Published Nov 12, 2024 • 66
Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering

Paper • 2411.11504 • Published Nov 18, 2024 • 23
Auto-Evolve: Enhancing Large Language Model's Performance via Self-Reasoning Framework

Paper • 2410.06328 • Published Oct 8, 2024 • 2
Critical Tokens Matter: Token-Level Contrastive Estimation Enhence LLM's Reasoning Capability

Paper • 2411.19943 • Published Nov 29, 2024 • 63

Large Language Models Can Self-Improve in Long-context Reasoning

Paper • 2411.08147 • Published Nov 12, 2024 • 66
SageAttention2 Technical Report: Accurate 4 Bit Attention for Plug-and-play Inference Acceleration

Paper • 2411.10958 • Published Nov 17, 2024 • 55
SSRL: Self-Search Reinforcement Learning

Paper • 2508.10874 • Published Aug 14 • 97

Large Language Models Can Self-Improve in Long-context Reasoning

Paper • 2411.08147 • Published Nov 12, 2024 • 66
Reverse Thinking Makes LLMs Stronger Reasoners

Paper • 2411.19865 • Published Nov 29, 2024 • 23
Training Large Language Models to Reason in a Continuous Latent Space

Paper • 2412.06769 • Published Dec 9, 2024 • 90
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs

Paper • 2412.18925 • Published Dec 25, 2024 • 104

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