ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels (easy/hard) across eight real-life scenarios.
☆286Aug 19, 2023Updated 2 years ago
Alternatives and similar repositories for ToolQA
Users that are interested in ToolQA are comparing it to the libraries listed below
Sorting:
- Official Code Repository for paper "HYDRA: Model Factorization Framework for Black-Box LLM Personalization"☆16Oct 7, 2024Updated last year
- Official Repo for ICLR 2024 paper MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback by Xingyao Wang*, Ziha…☆133Jun 4, 2024Updated last year
- [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios☆73May 13, 2025Updated 9 months ago
- ☆173Jun 27, 2023Updated 2 years ago
- ☆917Jul 24, 2024Updated last year
- [ACL2024] T-Eval: Evaluating Tool Utilization Capability of Large Language Models Step by Step☆304Apr 3, 2024Updated last year
- [ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning.☆5,536May 21, 2025Updated 9 months ago
- A new tool learning benchmark aiming at well-balanced stability and reality, based on ToolBench.☆217Apr 15, 2025Updated 10 months ago
- ☆330Jun 19, 2024Updated last year
- A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)☆3,187Feb 8, 2026Updated 3 weeks ago
- Official Implementation of "GEAR: Augmenting Language Models with Generalizable and Efficient Tool Resolution"☆20Apr 3, 2024Updated last year
- ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings - NeurIPS 2023 (oral)☆270Apr 18, 2024Updated last year
- [EMNLP'24] MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning☆36Dec 26, 2024Updated last year
- An Analytical Evaluation Board of Multi-turn LLM Agents [NeurIPS 2024 Oral]☆396May 20, 2024Updated last year
- Code and data for "Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs"☆473Mar 19, 2024Updated last year
- [NeurIPS'23 Spotlight] "Mind2Web: Towards a Generalist Agent for the Web" -- the first LLM-based web agent and benchmark for generalist w…☆952Nov 5, 2025Updated 4 months ago
- AgentTuning: Enabling Generalized Agent Abilities for LLMs☆1,479Oct 31, 2023Updated 2 years ago
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆63Dec 25, 2023Updated 2 years ago
- [ICML 2024] Official repository for "Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models"☆818Jul 30, 2024Updated last year
- Self-Alignment with Principle-Following Reward Models☆170Sep 18, 2025Updated 5 months ago
- the official code for "ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases"☆883Oct 26, 2024Updated last year
- Data for paper "Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness"☆33May 3, 2023Updated 2 years ago
- DAMO-ConvAI: The official repository which contains the codebase for Alibaba DAMO Conversational AI.☆1,530Jan 22, 2026Updated last month
- [NeurIPS 2023] This is the code for the paper `Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias`.☆156Nov 2, 2023Updated 2 years ago
- [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627☆511Oct 9, 2024Updated last year
- FireAct: Toward Language Agent Fine-tuning☆292Oct 22, 2023Updated 2 years ago
- Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".☆1,141Dec 23, 2023Updated 2 years ago
- Scripts for generating synthetic finetuning data for reducing sycophancy.☆121Aug 16, 2023Updated 2 years ago
- In-Context Alignment: Chat with Vanilla Language Models Before Fine-Tuning☆35Aug 9, 2023Updated 2 years ago
- ☆11Oct 2, 2023Updated 2 years ago
- Forward-Looking Active REtrieval-augmented generation (FLARE)☆667Nov 20, 2023Updated 2 years ago
- LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.☆784Oct 4, 2024Updated last year
- ☆29Apr 8, 2025Updated 10 months ago
- [ACL'23 Findings] This is the code repo for our ACL'23 Findings paper "ReGen: Zero-Shot Text Classification via Training Data Generation …☆24Sep 8, 2023Updated 2 years ago
- Benchmarking long-form factuality in large language models. Original code for our paper "Long-form factuality in large language models".☆667Feb 5, 2026Updated last month
- LOMO: LOw-Memory Optimization☆988Jul 2, 2024Updated last year
- ☆242Aug 14, 2024Updated last year
- [ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models☆3,581Feb 6, 2024Updated 2 years ago
- Benchmarking large language models' complex reasoning ability with chain-of-thought prompting☆2,766Aug 4, 2024Updated last year