Alternatives and similar repositories for MetaTool

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

• Junjie-Ye / ToolEyes
  [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios
  ☆69Updated 3 months ago
• JoeYing1019 / UltraTool
  [ACL2024] Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios
  ☆63Updated last month
• Yifan-Song793 / ETO
  Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents (ACL 2024 Main Conference)
  ☆149Updated 10 months ago
• rxlqn / awesome-llm-self-reflection
  augmented LLM with self reflection
  ☆131Updated last year
• lifan-yuan / CRAFT
  Code for ICLR 2024 paper "CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets"
  ☆58Updated last year
• sambanova / toolbench
  ToolBench, an evaluation suite for LLM tool manipulation capabilities.
  ☆160Updated last year
• 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…
  ☆116Updated last year
• Open-Source-O1 / o1_Reasoning_Patterns_Study
  ☆103Updated 9 months ago
• princeton-nlp / LLMBar
  [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following
  ☆131Updated 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…
  ☆129Updated last year
• zjunlp / AutoAct
  [ACL 2024] AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning
  ☆230Updated 7 months ago
• WeiminXiong / IPR
  Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)
  ☆60Updated 10 months ago
• Reason-Wang / NAT
  [NAACL 2025] The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language M…
  ☆28Updated last year
• TIGER-AI-Lab / Program-of-Thoughts
  Data and Code for Program of Thoughts [TMLR 2023]
  ☆285Updated last year
• 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
• GAIR-NLP / auto-j
  Generative Judge for Evaluating Alignment
  ☆245Updated last year
• TIGER-AI-Lab / MAmmoTH2
  Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]
  ☆147Updated 10 months ago
• i-Eval / FairEval
  ☆140Updated 2 years ago
• NumberChiffre / mcts-llm
  ☆96Updated 8 months ago
• Leezekun / Directional-Stimulus-Prompting
  [NeurIPS 2023] Codebase for the paper: "Guiding Large Language Models with Directional Stimulus Prompting"
  ☆113Updated 2 years ago
• yinzhangyue / SelfAware
  Do Large Language Models Know What They Don’t Know?
  ☆99Updated 10 months ago
• ZitongYang / Synthetic_Continued_Pretraining
  Code implementation of synthetic continued pretraining
  ☆127Updated 8 months ago
• zjunlp / WKM
  [NeurIPS 2024] Agent Planning with World Knowledge Model
  ☆148Updated 8 months ago
• zorazrw / awesome-tool-llm
  ☆238Updated last year
• OSU-NLP-Group / LLM-Knowledge-Conflict
  [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"
  ☆75Updated last year
• DAMO-NLP-SG / contrastive-cot
  Contrastive Chain-of-Thought Prompting
  ☆68Updated last year
• anchen1011 / FireAct
  FireAct: Toward Language Agent Fine-tuning
  ☆282Updated last year
• TianHongZXY / CoRe
  [ACL 2023] Solving Math Word Problems via Cooperative Reasoning induced Language Models (LLMs + MCTS + Self-Improvement)
  ☆50Updated last year
• oriyor / reasoning-on-cots
  Implementation of the paper: "Answering Questions by Meta-Reasoning over Multiple Chains of Thought"
  ☆96Updated last year
• microsoft / simulated-trial-and-error
  ☆122Updated last year