Alternatives and similar repositories for reward-bench

Users that are interested in reward-bench are comparing it to the libraries listed below

• ContextualAI / HALOs
  A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).
  ☆898Updated 3 months ago
• OpenBMB / UltraFeedback
  A large-scale, fine-grained, diverse preference dataset (and models).
  ☆359Updated 2 years ago
• princeton-nlp / LESS
  [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning
  ☆511Updated last year
• princeton-nlp / SimPO
  [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward
  ☆937Updated 10 months ago
• voidism / DoLa
  Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
  ☆532Updated 11 months ago
• allenai / olmes
  Reproducible, flexible LLM evaluations
  ☆316Updated last month
• MARIO-Math-Reasoning / Super_MARIO
  ☆340Updated 7 months ago
• THUDM / ReST-MCTS
  ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search (NeurIPS 2024)
  ☆686Updated 11 months ago
• huggingface / Math-Verify
  ☆1,052Updated 6 months ago
• glgh / awesome-llm-human-preference-datasets
  A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.
  ☆384Updated 2 years ago
• sangmichaelxie / doremi
  Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets
  ☆350Updated 2 years ago
• eddycmu / demystify-long-cot
  ☆329Updated 7 months ago
• YuxiXie / MCTS-DPO
  This is the repository that contains the source code for the Self-Evaluation Guided MCTS for online DPO.
  ☆328Updated last year
• ezelikman / STaR
  Code for STaR: Bootstrapping Reasoning With Reasoning (NeurIPS 2022)
  ☆218Updated 2 years ago
• likenneth / honest_llama
  Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
  ☆564Updated 11 months ago
• xfactlab / orpo
  Official repository for ORPO
  ☆468Updated last year
• ZubinGou / math-evaluation-harness
  A simple toolkit for benchmarking LLMs on mathematical reasoning tasks. 🧮✨
  ☆270Updated last year
• sail-sg / oat
  🌾 OAT: A research-friendly framework for LLM online alignment, including reinforcement learning, preference learning, etc.
  ☆609Updated this week
• nelson-liu / lost-in-the-middle
  Code and data for "Lost in the Middle: How Language Models Use Long Contexts"
  ☆372Updated 2 years ago
• tianyi-lab / Reflection_Tuning
  [ACL'24] Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning
  ☆366Updated last year
• suzgunmirac / BIG-Bench-Hard
  Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
  ☆541Updated last year
• declare-lab / instruct-eval
  This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.
  ☆551Updated last year
• waterhorse1 / LLM_Tree_Search
  (ICML 2024) Alphazero-like Tree-Search can guide large language model decoding and training
  ☆284Updated last year
• teacherpeterpan / self-correction-llm-papers
  This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.
  ☆562Updated last year
• hkust-nlp / deita
  Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]
  ☆580Updated last year
• princeton-nlp / AutoCompressors
  [EMNLP 2023] Adapting Language Models to Compress Long Contexts
  ☆323Updated last year
• kanishkg / cognitive-behaviors
  ☆219Updated 9 months ago
• hkust-nlp / AgentBoard
  An Analytical Evaluation Board of Multi-turn LLM Agents [NeurIPS 2024 Oral]
  ☆381Updated last year
• FranxYao / Long-Context-Data-Engineering
  Implementation of paper Data Engineering for Scaling Language Models to 128K Context
  ☆482Updated last year
• allenai / FineGrainedRLHF
  ☆282Updated last year