amazon-science / PrefEvalLinks
☆32Updated 8 months ago
Alternatives and similar repositories for PrefEval
Users that are interested in PrefEval are comparing it to the libraries listed below
Sorting:
- ☆74Updated 9 months ago
- ☆204Updated last month
- ☆224Updated 10 months ago
- [ACL'24] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization☆96Updated last year
- L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning☆261Updated 8 months ago
- ☆352Updated 6 months ago
- A repo for open research on building large reasoning models☆136Updated last week
- Research Code for preprint "Optimizing Test-Time Compute via Meta Reinforcement Finetuning".☆116Updated 6 months ago
- This is the official GitHub repository for our survey paper "Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language …☆171Updated 8 months ago
- A brief and partial summary of RLHF algorithms.☆144Updated 11 months ago
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆134Updated 10 months ago
- Repo of paper "Free Process Rewards without Process Labels"☆168Updated 10 months ago
- ☆145Updated 4 months ago
- ☆142Updated 10 months ago
- The Entropy Mechanism of Reinforcement Learning for Large Language Model Reasoning.☆419Updated 6 months ago
- [NeurIPS 2025] Implementation for the paper "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"☆160Updated 3 months ago
- [AAAI 2026] Official codebase for "GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning".☆95Updated 3 months ago
- [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction☆87Updated 10 months ago
- ☆108Updated last month
- A Sober Look at Language Model Reasoning☆92Updated 2 months ago
- ☆215Updated 11 months ago
- AdaRFT: Efficient Reinforcement Finetuning via Adaptive Curriculum Learning☆54Updated 7 months ago
- Model merging is a highly efficient approach for long-to-short reasoning.☆98Updated 3 months ago
- Resources for the Enigmata Project.☆77Updated 5 months ago
- Paper Reproduction Google SCoRE(Training Language Models to Self-Correct via Reinforcement Learning)☆142Updated last year
- ☆117Updated last year
- Reference implementation for Token-level Direct Preference Optimization(TDPO)☆151Updated 11 months ago
- This is the official implementation of the paper "S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning"☆74Updated 9 months ago
- [ACL'25 Oral] What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective☆75Updated 7 months ago
- Implementation for the research paper "Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision".☆55Updated last year