Alternatives and similar repositories for FineGrainedRLHF

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

• YuxiXie / MCTS-DPO
  This is the repository that contains the source code for the Self-Evaluation Guided MCTS for online DPO.
  ☆314Updated 9 months ago
• allenai / reward-bench
  RewardBench: the first evaluation tool for reward models.
  ☆582Updated this week
• raunak-agarwal / instruction-datasets
  All available datasets for Instruction Tuning of Large Language Models
  ☆250Updated last year
• FranxYao / FlanT5-CoT-Specialization
  Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.
  ☆130Updated last year
• OFA-Sys / gsm8k-ScRel
  Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models
  ☆264Updated 8 months ago
• ezelikman / STaR
  Code for STaR: Bootstrapping Reasoning With Reasoning (NeurIPS 2022)
  ☆205Updated 2 years ago
• MARIO-Math-Reasoning / Super_MARIO
  ☆329Updated 3 months ago
• OpenBMB / UltraFeedback
  A large-scale, fine-grained, diverse preference dataset (and models).
  ☆340Updated last year
• nelson-liu / lost-in-the-middle
  Code and data for "Lost in the Middle: How Language Models Use Long Contexts"
  ☆344Updated last year
• xingyaoww / mint-bench
  Official Repo for ICLR 2024 paper MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback by Xingyao Wang*, Ziha…
  ☆124Updated 11 months ago
• princeton-nlp / QuRating
  [ICML 2024] Selecting High-Quality Data for Training Language Models
  ☆174Updated 11 months ago
• IBM / SALMON
  Self-Alignment with Principle-Following Reward Models
  ☆161Updated 3 weeks ago
• PKU-Alignment / aligner
  [NeurIPS 2024 Oral] Aligner: Efficient Alignment by Learning to Correct
  ☆176Updated 4 months ago
• vwxyzjn / summarize_from_feedback_details
  ☆140Updated 6 months ago
• Spico197 / Humpback
  🐋 An unofficial implementation of Self-Alignment with Instruction Backtranslation.
  ☆140Updated 3 weeks ago
• YifeiZhou02 / ArCHer
  Research Code for "ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL"
  ☆174Updated last month
• QwenLM / ProcessBench
  Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"
  ☆155Updated last week
• shizhediao / R-Tuning
  [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…
  ☆111Updated 10 months ago
• haoliuhl / chain-of-hindsight
  Simple next-token-prediction for RLHF
  ☆226Updated last year
• Yifan-Song793 / ETO
  Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents (ACL 2024 Main Conference)
  ☆141Updated 7 months ago
• icip-cas / awesome-auto-alignment
  Collection of papers for scalable automated alignment.
  ☆90Updated 7 months ago
• vwxyzjn / lm-human-preference-details
  RLHF implementation details of OAI's 2019 codebase
  ☆187Updated last year
• Ber666 / ToolkenGPT
  ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings - NeurIPS 2023 (oral)
  ☆262Updated last year
• Alrope123 / rethinking-demonstrations
  ☆175Updated 10 months ago
• princeton-nlp / MQuAKE
  [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
  ☆111Updated 8 months ago
• tianjunz / HIR
  ☆159Updated 2 years ago
• sangmichaelxie / doremi
  Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets
  ☆328Updated last year
• TIGER-AI-Lab / Program-of-Thoughts
  Data and Code for Program of Thoughts (TMLR 2023)
  ☆274Updated last year
• kanishkg / cognitive-behaviors
  ☆173Updated 2 months ago
• p-lambda / dsir
  DSIR large-scale data selection framework for language model training
  ☆249Updated last year