JoeYing1019 / UltraToolLinks
[ACL2024] Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios
☆57Updated last year
Alternatives and similar repositories for UltraTool
Users that are interested in UltraTool are comparing it to the libraries listed below
Sorting:
- [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios☆68Updated 2 months ago
- [ICLR 2024] MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use☆90Updated last year
- Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents (ACL 2024 Main Conference)☆146Updated 9 months ago
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆61Updated 9 months ago
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following☆127Updated last year
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆80Updated 6 months ago
- [ICLR 2025] InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales☆112Updated 5 months ago
- A new tool learning benchmark aiming at well-balanced stability and reality, based on ToolBench.☆165Updated 3 months ago
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆114Updated last year
- Do Large Language Models Know What They Don’t Know?☆99Updated 8 months ago
- [ACL 2024] ANAH & [NeurIPS 2024] ANAH-v2 & [ICLR 2025] Mask-DPO☆51Updated 3 months ago
- Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"☆75Updated 2 months ago
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆51Updated last month
- Official Repo for ICLR 2024 paper MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback by Xingyao Wang*, Ziha…☆128Updated last year
- Benchmarking Complex Instruction-Following with Multiple Constraints Composition (NeurIPS 2024 Datasets and Benchmarks Track)☆89Updated 5 months ago
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆72Updated last year
- [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"☆129Updated 10 months ago
- Repo for paper "Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents"☆55Updated last year
- [NeurIPS 2024 D&B Track] GTA: A Benchmark for General Tool Agents☆113Updated 4 months ago
- [ACL-25] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.☆63Updated 9 months ago
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆183Updated last year
- [2025-TMLR] A Survey on the Honesty of Large Language Models☆58Updated 7 months ago
- Code implementation of synthetic continued pretraining☆123Updated 6 months ago
- [NeurIPS 2024 Oral] Aligner: Efficient Alignment by Learning to Correct☆181Updated 6 months ago
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆131Updated 2 years ago
- [NAACL 2025] The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language M…☆26Updated last year
- Personality Alignment of Language Models☆38Updated last month
- ☆48Updated 9 months ago
- This the implementation of LeCo☆31Updated 6 months ago
- RM-R1: Unleashing the Reasoning Potential of Reward Models☆118Updated last month