STaR: Bootstrapping Reasoning With Reasoning
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2203.14465
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Published
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8
LLM Reasoning
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Let's Verify Step by Step
Paper • 2305.20050 • Published • 10 -
Training Large Language Models to Reason in a Continuous Latent Space
Paper • 2412.06769 • Published • 77 -
Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions
Paper • 2411.14405 • Published • 58 -
Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training
Paper • 2309.17179 • Published • 2 -
Qwen2.5 Technical Report
Paper • 2412.15115 • Published • 345 -
A Comparative Study on Reasoning Patterns of OpenAI's o1 Model
Paper • 2410.13639 • Published • 17 -
O1 Replication Journey -- Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter Lesson?
Paper • 2411.16489 • Published • 42 -
LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning
Paper • 2410.02884 • Published • 54 -
Tree of Problems: Improving structured problem solving with compositionality
Paper • 2410.06634 • Published • 8 -
Are Your LLMs Capable of Stable Reasoning?
Paper • 2412.13147 • Published • 91 -
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Paper • 2407.21787 • Published • 12 -
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Paper • 2408.03314 • Published • 54 -
878
QwQ-32B-Preview
🔍QwQ-32B-Preview
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Offline Reinforcement Learning for LLM Multi-Step Reasoning
Paper • 2412.16145 • Published • 38 -
The Surprising Effectiveness of Test-Time Training for Abstract Reasoning
Paper • 2411.07279 • Published • 3 -
Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs
Paper • 2410.18451 • Published • 16 -
Skywork/Skywork-Reward-Gemma-2-27B-v0.2
Text Classification • Updated • 3.83k • 27 -
Generative Verifiers: Reward Modeling as Next-Token Prediction
Paper • 2408.15240 • Published • 13 -
Understanding Hidden Computations in Chain-of-Thought Reasoning
Paper • 2412.04537 • Published -
Generative Reward Models
Paper • 2410.12832 • Published • 6 -
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
Paper • 2412.17256 • Published • 46 -
RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning
Paper • 2410.02089 • Published • 12 -
V-STaR: Training Verifiers for Self-Taught Reasoners
Paper • 2402.06457 • Published • 9 -
RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement
Paper • 2412.12881 • Published • 1 -
Reinforcement Learning Enhanced LLMs: A Survey
Paper • 2412.10400 • Published -
Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective
Paper • 2412.14135 • Published -
SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models
Paper • 2412.11605 • Published • 18 -
Virgo: A Preliminary Exploration on Reproducing o1-like MLLM
Paper • 2501.01904 • Published • 31 -
Technical Report: Enhancing LLM Reasoning with Reward-guided Tree Search
Paper • 2411.11694 • Published -
Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling
Paper • 2408.16737 • Published • 1 -
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 255 -
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though
Paper • 2501.04682 • Published • 89 -
Search-o1: Agentic Search-Enhanced Large Reasoning Models
Paper • 2501.05366 • Published • 92 -
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models
Paper • 2501.03262 • Published • 90 -
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Paper • 2501.09686 • Published • 36 -
Foundations of Large Language Models
Paper • 2501.09223 • Published • 2 -
The Lessons of Developing Process Reward Models in Mathematical Reasoning
Paper • 2501.07301 • Published • 90 -
deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
Text Generation • Updated • 565k • • 999 -
Reasoning Language Models: A Blueprint
Paper • 2501.11223 • Published • 31 -
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper • 2501.12948 • Published • 315 -
Qwen2.5-1M Technical Report
Paper • 2501.15383 • Published • 55 -
Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective
Paper • 2501.11110 • Published • 2 -
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Paper • 2501.17161 • Published • 102 -
s1: Simple test-time scaling
Paper • 2501.19393 • Published • 99 -
Process Reinforcement through Implicit Rewards
Paper • 2502.01456 • Published • 53 -
ACECODER: Acing Coder RL via Automated Test-Case Synthesis
Paper • 2502.01718 • Published • 23 -
RL + Transformer = A General-Purpose Problem Solver
Paper • 2501.14176 • Published • 22 -
Boosting Multimodal Reasoning with MCTS-Automated Structured Thinking
Paper • 2502.02339 • Published • 18 -
LIMO: Less is More for Reasoning
Paper • 2502.03387 • Published • 44 -
SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model
Paper • 2502.02737 • Published • 154 -
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings
Paper • 2501.01257 • Published • 48 -
simplescaling/s1K
Viewer • Updated • 1k • 2.67k • 152 -
Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models
Paper • 2502.04404 • Published • 15 -
Agency Is Frame-Dependent
Paper • 2502.04403 • Published • 19 -
CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance
Paper • 2502.04350 • Published • 8 -
QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search
Paper • 2502.02584 • Published • 14 -
Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling
Paper • 2502.06703 • Published • 78 -
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
Paper • 2502.05171 • Published • 49 -
Competitive Programming with Large Reasoning Models
Paper • 2502.06807 • Published • 2