Alternatives and similar repositories for GPT-Critic

Users that are interested in GPT-Critic are comparing it to the libraries listed below

• rll-research / teachable
  ☆17Updated last year
• jlin816 / rewards-from-language
  Code and data for "Inferring Rewards from Language in Context" [ACL 2022].
  ☆16Updated 3 years ago
• CURRENTF / MEFT
  ☆20Updated last year
• XanderJC / attention-based-credit
  Code for the paper: Dense Reward for Free in Reinforcement Learning from Human Feedback (ICML 2024) by Alex J. Chan, Hao Sun, Samuel Holt…
  ☆37Updated last year
• zhxieml / PDT
  Implementation of ICML 2023 paper: Future-conditioned Unsupervised Pretraining for Decision Transformer
  ☆28Updated 2 years ago
• xlang-ai / icl-selective-annotation
  [ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"
  ☆110Updated 2 years ago
• liziniu / policy_optimization
  Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)
  ☆28Updated last year
• alexrame / rewardedsoups
  Rewarded soups official implementation
  ☆60Updated last year
• Linear95 / DSP
  Domain-specific preference (DSP) data and customized RM fine-tuning.
  ☆25Updated last year
• amodaresi / AdapLeR
  ☆21Updated 2 years ago
• archiki / GrIPS
  Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"
  ☆56Updated 2 years ago
• ruizheng20 / gpo
  The code of paper "Toward Optimal LLM Alignments Using Two-Player Games".
  ☆17Updated last year
• yangheng95 / InstOptima
  This repo is for our EMNLP2023 short paper (Findings): InstOptima: Evolutionary Multi-objective Instruction Optimization via Large Langua…
  ☆12Updated last year
• abaheti95 / LoL-RL
  Advantage Leftover Lunch Reinforcement Learning (A-LoL RL): Improving Language Models with Advantage-based Offline Policy Gradients
  ☆26Updated 11 months ago
• Shentao-YANG / Preference_Grounded_Guidance
  Source codes for "Preference-grounded Token-level Guidance for Language Model Fine-tuning" (NeurIPS 2023).
  ☆16Updated 8 months ago
• facebookresearch / rlfh-gen-div
  This is code for most of the experiments in the paper Understanding the Effects of RLHF on LLM Generalisation and Diversity
  ☆45Updated last year
• linlu-qiu / lm-inductive-reasoning
  ☆33Updated last year
• cindermond / leap
  Implementation of the methods described in our paper "Explicit Planning Helps Language Models in Logical Reasoning"
  ☆23Updated 2 years ago
• snu-mllab / Bayesian-Red-Teaming
  About Official PyTorch implementation of "Query-Efficient Black-Box Red Teaming via Bayesian Optimization" (ACL'23)
  ☆15Updated 2 years ago
• tianjunz / TEMPERA
  ☆46Updated 2 years ago
• ygjin11 / task-hypernet
  The official implementation of the paper "Deep Reinforcement Learning with Task-Adaptive Retrieval via Hypernetwork".
  ☆12Updated last year
• janphilippfranken / sami
  Self-Supervised Alignment with Mutual Information
  ☆21Updated last year
• seonghyeonye / RoSPr
  [EMNLP 2023 Findings] Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt
  ☆20Updated last year
• graliuce / sgcrl
  ☆25Updated 3 months ago
• feyzaakyurek / rl4f
  Code for RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs. ACL 2023.
  ☆64Updated 9 months ago
• liujch1998 / rainier
  ☆28Updated last year
• Hritikbansal / jpo
  ☆13Updated 2 months ago
• McGill-NLP / polytropon
  ☆54Updated 2 years ago
• princeton-nlp / unintentional-unalignment
  [ICLR 2025] Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization
  ☆31Updated 7 months ago
• idanshen / Value-Augmented-Sampling
  ☆20Updated last year