Alternatives and similar repositories for RewardModelingBeyondBradleyTerry

Users that are interested in RewardModelingBeyondBradleyTerry are comparing it to the libraries listed below

• ryoungj / BoLT
  Code for "Reasoning to Learn from Latent Thoughts"
  ☆118Updated 5 months ago
• bethgelab / sober-reasoning
  A Sober Look at Language Model Reasoning
  ☆82Updated 2 months ago
• facebookresearch / iGSM
  The code for creating the iGSM datasets in papers "Physics of Language Models Part 2.1, Grade-School Math and the Hidden Reasoning Proces…
  ☆75Updated 8 months ago
• RLHFlow / Directional-Preference-Alignment
  Directional Preference Alignment
  ☆59Updated 11 months ago
• GuanghaoYe / Emergence-of-Thinking
  ☆53Updated 7 months ago
• cmu-mind / RISE
  ☆32Updated 10 months ago
• Edward-Sun / easy-to-hard
  Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
  ☆123Updated last year
• princeton-pli / what-makes-good-rm
  What Makes a Reward Model a Good Teacher? An Optimization Perspective
  ☆35Updated 2 months ago
• PKU-ML / LongPPL
  Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"
  ☆98Updated last month
• RLHFlow / RAFT
  This is an official implementation of the Reward rAnked Fine-Tuning Algorithm (RAFT), also known as iterative best-of-n fine-tuning or re…
  ☆37Updated 11 months ago
• yihedeng9 / rlhf-summary-notes
  A brief and partial summary of RLHF algorithms.
  ☆132Updated 6 months ago
• Vance0124 / Token-level-Direct-Preference-Optimization
  Reference implementation for Token-level Direct Preference Optimization(TDPO)
  ☆147Updated 7 months ago
• thu-wyz / inference_scaling
  ☆74Updated 9 months ago
• sail-sg / dice
  Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
  ☆44Updated 5 months ago
• haozheji / exact-optimization
  ICML 2024 - Official Repository for EXO: Towards Efficient Exact Optimization of Language Model Alignment
  ☆58Updated last year
• WeiXiongUST / Building-Math-Agents-with-Multi-Turn-Iterative-Preference-Learning
  This is an official implementation of the paper ``Building Math Agents with Multi-Turn Iterative Preference Learning'' with multi-turn DP…
  ☆29Updated 9 months ago
• LLM360 / Reasoning360
  A repo for open research on building large reasoning models
  ☆94Updated last week
• ZHZisZZ / modpo
  [ACL'24] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization
  ☆86Updated last year
• limenlp / verl
  AdaRFT: Efficient Reinforcement Finetuning via Adaptive Curriculum Learning
  ☆44Updated 3 months ago
• NineAbyss / S2R
  This is the official implementation of the paper "S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning"
  ☆69Updated 4 months ago
• SynthLabsAI / big-math
  A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models
  ☆63Updated 6 months ago
• PRIME-RL / ImplicitPRM
  Repo of paper "Free Process Rewards without Process Labels"
  ☆162Updated 6 months ago
• gregorbachmann / Next-Token-Failures
  ☆99Updated last year
• YangRui2015 / Generalizable-Reward-Model
  Code for NeurIPS 2024 paper "Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs"
  ☆40Updated 6 months ago
• CMU-AIRe / MRT
  Research Code for preprint "Optimizing Test-Time Compute via Meta Reinforcement Finetuning".
  ☆104Updated last month
• thu-ml / Noise-Contrastive-Alignment
  Code accompanying the paper "Noise Contrastive Alignment of Language Models with Explicit Rewards" (NeurIPS 2024)
  ☆57Updated 10 months ago
• sail-sg / Attention-Sink
  [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)
  ☆122Updated 2 months ago
• sail-sg / AnytimeReasoner
  Optimizing Anytime Reasoning via Budget Relative Policy Optimization
  ☆45Updated 2 months ago
• genrm-star / genrm-critiques
  GenRM-CoT: Data release for verification rationales
  ☆65Updated 10 months ago
• alexrame / rewardedsoups
  Rewarded soups official implementation
  ☆60Updated last year