GuanghaoYe / Emergence-of-Thinking
☆48Updated last month
Alternatives and similar repositories for Emergence-of-Thinking:
Users that are interested in Emergence-of-Thinking are comparing it to the libraries listed below
- A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models☆44Updated last month
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆56Updated 3 months ago
- Code for Paper: Teaching Language Models to Critique via Reinforcement Learning☆84Updated last month
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆57Updated 5 months ago
- ☆61Updated 4 months ago
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆104Updated last week
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models☆57Updated 3 months ago
- official implementation of paper "Process Reward Model with Q-value Rankings"☆51Updated last month
- Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]☆130Updated 6 months ago
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision☆119Updated 6 months ago
- Interpretable Contrastive Monte Carlo Tree Search Reasoning☆46Updated 4 months ago
- ☆30Updated 6 months ago
- Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering☆58Updated 3 months ago
- Repo of paper "Free Process Rewards without Process Labels"☆138Updated 2 weeks ago
- Code for "Reasoning to Learn from Latent Thoughts"☆51Updated this week
- [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction☆64Updated last week
- ☆83Updated 2 weeks ago
- Research Code for preprint "Optimizing Test-Time Compute via Meta Reinforcement Finetuning".☆78Updated 2 weeks ago
- [𝐄𝐌𝐍𝐋𝐏 𝐅𝐢𝐧𝐝𝐢𝐧𝐠𝐬 𝟐𝟎𝟐𝟒 & 𝐀𝐂𝐋 𝟐𝟎𝟐𝟒 𝐍𝐋𝐑𝐒𝐄 𝐎𝐫𝐚𝐥] 𝘌𝘯𝘩𝘢𝘯𝘤𝘪𝘯𝘨 𝘔𝘢𝘵𝘩𝘦𝘮𝘢𝘵𝘪𝘤𝘢𝘭 𝘙𝘦𝘢𝘴𝘰𝘯𝘪𝘯…☆48Updated 10 months ago
- We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.☆60Updated 5 months ago
- This is an official implementation of the Reward rAnked Fine-Tuning Algorithm (RAFT), also known as iterative best-of-n fine-tuning or re…☆27Updated 6 months ago
- [ICLR 2025] Benchmarking Agentic Workflow Generation☆63Updated last month
- [ACL 2024] Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning☆41Updated 8 months ago
- ☆59Updated 6 months ago
- Code accompanying the paper "Noise Contrastive Alignment of Language Models with Explicit Rewards" (NeurIPS 2024)☆50Updated 4 months ago
- Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling☆95Updated 2 months ago
- The code and data for the paper JiuZhang3.0☆43Updated 10 months ago
- Long Context Extension and Generalization in LLMs☆50Updated 6 months ago
- ☆43Updated 5 months ago
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆45Updated 3 months ago