Alternatives and similar repositories for lm-human-preference-details:

Users that are interested in lm-human-preference-details are comparing it to the libraries listed below

• vwxyzjn / summarize_from_feedback_details
  ☆137Updated 5 months ago
• McGill-NLP / VinePPO
  Code for the paper "VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment"
  ☆151Updated 5 months ago
• OFA-Sys / gsm8k-ScRel
  Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models
  ☆256Updated 7 months ago
• thomfoster / minRLHF
  A (somewhat) minimal library for finetuning language models with PPO on human feedback.
  ☆85Updated 2 years ago
• liziniu / ReMax
  Code for Paper (ReMax: A Simple, Efficient and Effective Reinforcement Learning Method for Aligning Large Language Models)
  ☆181Updated last year
• waterhorse1 / LLM_Tree_Search
  (ICML 2024) Alphazero-like Tree-Search can guide large language model decoding and training
  ☆264Updated 10 months ago
• MARIO-Math-Reasoning / Super_MARIO
  ☆326Updated 2 months ago
• sangmichaelxie / doremi
  Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets
  ☆321Updated last year
• YifeiZhou02 / ArCHer
  Research Code for "ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL"
  ☆162Updated last week
• YuxiXie / MCTS-DPO
  This is the repository that contains the source code for the Self-Evaluation Guided MCTS for online DPO.
  ☆303Updated 8 months ago
• OpenBMB / UltraFeedback
  A large-scale, fine-grained, diverse preference dataset (and models).
  ☆336Updated last year
• Dahoas / reward-modeling
  ☆97Updated last year
• allenai / FineGrainedRLHF
  ☆274Updated 3 months ago
• QwenLM / ProcessBench
  ☆149Updated 4 months ago
• Vance0124 / Token-level-Direct-Preference-Optimization
  Reference implementation for Token-level Direct Preference Optimization(TDPO)
  ☆136Updated 2 months ago
• allenai / reward-bench
  RewardBench: the first evaluation tool for reward models.
  ☆555Updated last month
• haoliuhl / chain-of-hindsight
  Simple next-token-prediction for RLHF
  ☆225Updated last year
• ZubinGou / math-evaluation-harness
  A simple toolkit for benchmarking LLMs on mathematical reasoning tasks. 🧮✨
  ☆203Updated 11 months ago
• GAIR-NLP / LIMR
  ☆187Updated 2 months ago
• princeton-nlp / ProLong
  Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"
  ☆175Updated last month
• PRIME-RL / ImplicitPRM
  Repo of paper "Free Process Rewards without Process Labels"
  ☆143Updated last month
• Edward-Sun / easy-to-hard
  Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
  ☆120Updated 7 months ago
• tianjunz / HIR
  ☆159Updated 2 years ago
• openpsi-project / ReaLHF
  Super-Efficient RLHF Training of LLMs with Parameter Reallocation
  ☆281Updated 3 months ago
• bojone / rerope
  Rectified Rotary Position Embeddings
  ☆366Updated 11 months ago
• tongyx361 / Awesome-LLM4Math
  Curation of resources for LLM mathematical reasoning, most of which are screened by @tongyx361 to ensure high quality and accompanied wit…
  ☆122Updated 9 months ago
• sail-sg / oat
  🌾 OAT: A research-friendly framework for LLM online alignment, including preference learning, reinforcement learning, etc.
  ☆325Updated this week
• Linear95 / APO
  Code for ACL2024 paper - Adversarial Preference Optimization (APO).
  ☆53Updated 10 months ago
• 0xallam / Direct-Preference-Optimization
  Direct Preference Optimization from scratch in PyTorch
  ☆90Updated 2 weeks ago
• NVIDIA / NeMo-Skills
  A project to improve skills of large language models
  ☆295Updated this week