Alternatives and similar repositories for Online-RLHF

Users that are interested in Online-RLHF are comparing it to the libraries listed below

• RLHFlow / RLHF-Reward-Modeling
  Recipes to train reward model for RLHF.
  ☆1,477Updated 6 months ago
• RLHFlow / Minimal-RL
  ☆247Updated 6 months ago
• meta-math / MetaMath
  MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
  ☆449Updated last year
• Ledzy / BAdam
  [NeurIPS 2024] BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models
  ☆275Updated 8 months ago
• allenai / reward-bench
  RewardBench: the first evaluation tool for reward models.
  ☆653Updated 5 months ago
• uclaml / SPPO
  The official implementation of Self-Play Preference Optimization (SPPO)
  ☆582Updated 9 months ago
• RLHFlow / Online-DPO-R1
  Codebase for Iterative DPO Using Rule-based Rewards
  ☆260Updated 7 months ago
• CSHaitao / Awesome-LLMs-as-Judges
  The official repo for paper, LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods.
  ☆489Updated 3 months ago
• RLHFlow / Self-rewarding-reasoning-LLM
  Recipes to train the self-rewarding reasoning LLMs.
  ☆227Updated 8 months ago
• IAAR-Shanghai / CTGSurvey
  Controllable Text Generation for Large Language Models: A Survey
  ☆193Updated last year
• OpenLMLab / MOSS-RLHF
  Secrets of RLHF in Large Language Models Part I: PPO
  ☆1,403Updated last year
• princeton-nlp / SimPO
  [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward
  ☆926Updated 9 months ago
• OpenBMB / UltraFeedback
  A large-scale, fine-grained, diverse preference dataset (and models).
  ☆355Updated last year
• YuxiXie / MCTS-DPO
  This is the repository that contains the source code for the Self-Evaluation Guided MCTS for online DPO.
  ☆327Updated last year
• eddycmu / demystify-long-cot
  ☆326Updated 5 months ago
• MARIO-Math-Reasoning / Super_MARIO
  ☆341Updated 5 months ago
• THUDM / ReST-MCTS
  ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search (NeurIPS 2024)
  ☆678Updated 9 months ago
• princeton-nlp / LESS
  [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning
  ☆502Updated last year
• QwenLM / AutoIF
  ☆314Updated last year
• dvlab-research / Step-DPO
  Implementation for "Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs"
  ☆386Updated 9 months ago
• waterhorse1 / LLM_Tree_Search
  (ICML 2024) Alphazero-like Tree-Search can guide large language model decoding and training
  ☆284Updated last year
• liziniu / ReMax
  Code for Paper (ReMax: A Simple, Efficient and Effective Reinforcement Learning Method for Aligning Large Language Models)
  ☆194Updated last year
• smartyfh / LLM-Uncertainty-Bench
  Benchmarking LLMs via Uncertainty Quantification
  ☆249Updated last year
• FranxYao / Long-Context-Data-Engineering
  Implementation of paper Data Engineering for Scaling Language Models to 128K Context
  ☆477Updated last year
• GAIR-NLP / LIMR
  ☆212Updated 8 months ago
• RUCAIBox / Slow_Thinking_with_LLMs
  A series of technical report on Slow Thinking with LLM
  ☆746Updated 3 months ago
• allenai / FineGrainedRLHF
  ☆281Updated 10 months ago
• ezelikman / STaR
  Code for STaR: Bootstrapping Reasoning With Reasoning (NeurIPS 2022)
  ☆218Updated 2 years ago
• glgh / awesome-llm-human-preference-datasets
  A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.
  ☆382Updated 2 years ago
• ZubinGou / math-evaluation-harness
  A simple toolkit for benchmarking LLMs on mathematical reasoning tasks. 🧮✨
  ☆263Updated last year