Alternatives and similar repositories for dialogue_action_token

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

• 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
• Yifan-Song793 / ETO
  Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents (ACL 2024 Main Conference)
  ☆144Updated 7 months ago
• zitian-gao / SC-MCTS
  Interpretable Contrastive Monte Carlo Tree Search Reasoning
  ☆48Updated 7 months ago
• sanjibanc / agent_prm
  ☆33Updated 4 months ago
• GAIR-NLP / scaleeval
  Scalable Meta-Evaluation of LLMs as Evaluators
  ☆42Updated last year
• icip-cas / Verifier-Engineering
  Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering
  ☆59Updated 6 months ago
• csitfun / LogiCoT
  the instructions and demonstrations for building a formal logical reasoning capable GLM
  ☆53Updated 9 months ago
• WindyLee0822 / Process_Q_Model
  official implementation of paper "Process Reward Model with Q-value Rankings"
  ☆59Updated 4 months ago
• GAIR-NLP / MetaCritique
  Evaluate the Quality of Critique
  ☆35Updated last year
• sotopia-lab / sotopia-pi
  Sotopia-π: Interactive Learning of Socially Intelligent Language Agents (ACL 2024)
  ☆65Updated last year
• philipmit / thread
  ☆13Updated 10 months ago
• qtli / GSM-Plus
  GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.
  ☆62Updated 11 months ago
• Edward-Sun / easy-to-hard
  Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
  ☆121Updated 9 months ago
• HKUNLP / critic-rl
  [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning
  ☆99Updated last month
• Agent-E3 / ExACT
  ☆17Updated 3 months ago
• zankner / CLoud
  Critique-out-Loud Reward Models
  ☆66Updated 8 months ago
• cmu-mind / RISE
  ☆31Updated 7 months ago
• ars22 / scaling-LLM-math-synthetic-data
  Code and data used in the paper: "Training on Incorrect Synthetic Data via RL Scales LLM Math Reasoning Eight-Fold"
  ☆30Updated last year
• XiangLi1999 / AutoBencher
  ☆29Updated 11 months ago
• RLHFlow / Directional-Preference-Alignment
  Directional Preference Alignment
  ☆57Updated 9 months ago
• YuxiXie / SelfEval-Guided-Decoding
  ☆98Updated last year
• martin-wey / CodeUltraFeedback
  CodeUltraFeedback: aligning large language models to coding preferences
  ☆71Updated last year
• ernie-research / Tool-Augmented-Reward-Model
  [ICLR'24 spotlight] Tool-Augmented Reward Modeling
  ☆50Updated 2 weeks ago
• Singla17 / dynamic-alignment-optimization
  [EMNLP'24 (Main)] DRPO(Dynamic Rewarding with Prompt Optimization) is a tuning-free approach for self-alignment. DRPO leverages a search-…
  ☆24Updated 7 months ago
• allenai / super-benchmark
  ☆43Updated 2 months ago
• hamishivi / EasyLM
  Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…
  ☆75Updated 10 months ago
• WeiminXiong / IPR
  Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)
  ☆59Updated 8 months ago
• architsharma97 / dpo-rlaif
  ☆97Updated 11 months ago
• MLE-Dojo / MLE-Dojo
  ☆53Updated last week
• princeton-nlp / LLMBar
  [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following
  ☆127Updated 11 months ago