Alternatives and similar repositories for Prompt-OIRL

Users that are interested in Prompt-OIRL are comparing it to the libraries listed below

• Yifan-Song793 / ETO
  Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents (ACL 2024 Main Conference)
  ☆144Updated 7 months ago
• RUCAIBox / RLMEC
  The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"
  ☆38Updated last year
• WooooDyy / LLM-Reverse-Curriculum-RL
  Implementation of the ICML 2024 paper "Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning" pr…
  ☆105Updated last year
• WeiminXiong / IPR
  Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)
  ☆59Updated 8 months ago
• Vance0124 / Token-level-Direct-Preference-Optimization
  Reference implementation for Token-level Direct Preference Optimization(TDPO)
  ☆141Updated 4 months ago
• ZHZisZZ / modpo
  [ACL'24] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization
  ☆80Updated 10 months ago
• Linear95 / APO
  Code for ACL2024 paper - Adversarial Preference Optimization (APO).
  ☆54Updated last year
• rookie-joe / AutoPSV
  ☆46Updated 7 months ago
• OpenDFM / Rememberer
  [NeurIPS 2023] Large Language Models Are Semi-Parametric Reinforcement Learning Agents
  ☆34Updated last year
• LeapLabTHU / ExpeL
  ☆136Updated 6 months ago
• sanjibanc / agent_prm
  ☆33Updated 4 months ago
• cathyxl / MAgIC
  ☆40Updated 7 months ago
• Timothyxxx / EnvInteractiveLMPapers
  Paper collections of methods that using language to interact with environment, including interact with real world, simulated world or WWW…
  ☆127Updated last year
• YangRui2015 / Generalizable-Reward-Model
  Code for NeurIPS 2024 paper "Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs"
  ☆37Updated 4 months ago
• NingMiao / SelfCheck
  Code for the paper <SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning>
  ☆49Updated last year
• MingyuJ666 / The-Impact-of-Reasoning-Step-Length-on-Large-Language-Models
  [ACL'24] Chain of Thought (CoT) is significant in improving the reasoning abilities of large language models (LLMs). However, the correla…
  ☆45Updated last month
• sanowl / Self-Correcting-LLM--Reinforcement-Learning-
  This my attempt to create Self-Correcting-LLM based on the paper Training Language Models to Self-Correct via Reinforcement Learning by g…
  ☆35Updated this week
• jwhj / OREO
  ☆114Updated 5 months ago
• cmu-mind / RISE
  ☆31Updated 7 months ago
• Linear95 / DSP
  Domain-specific preference (DSP) data and customized RM fine-tuning.
  ☆25Updated last year
• PKU-Alignment / aligner
  [NeurIPS 2024 Oral] Aligner: Efficient Alignment by Learning to Correct
  ☆177Updated 5 months ago
• haotiansun14 / AdaPlanner
  AdaPlanner: Language Models for Decision Making via Adaptive Planning from Feedback
  ☆108Updated 2 months ago
• yuyq18 / StepTool
  ☆30Updated last month
• genrm-star / genrm-critiques
  GenRM-CoT: Data release for verification rationales
  ☆61Updated 8 months ago
• SIMONLQY / RethinkMCTS
  ☆27Updated 8 months ago
• Edward-Sun / easy-to-hard
  Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
  ☆121Updated 9 months ago
• YifeiZhou02 / ArCHer
  Research Code for "ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL"
  ☆179Updated 2 months ago
• waterhorse1 / Natural-language-RL
  Natural Language Reinforcement Learning
  ☆89Updated 6 months ago
• WooooDyy / MathCritique
  Implementation for the research paper "Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision".
  ☆54Updated 6 months ago
• OSU-NLP-Group / llm-planning-eval
  [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"
  ☆54Updated last year