Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios
Fuente:
arXiv
Saved in:
| Main Authors: | Huang, Shijue, Zhong, Wanjun, Lu, Jianqiao, Zhu, Qi, Gao, Jiahui, Liu, Weiwen, Hou, Yutai, Zeng, Xingshan, Wang, Yasheng, Shang, Lifeng, Jiang, Xin, Xu, Ruifeng, Liu, Qun |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ToolFlow: Boosting LLM Tool-Calling Through Natural and Coherent Dialogue Synthesis
by: Wang, Zezhong, et al.
Published: (2024)
by: Wang, Zezhong, et al.
Published: (2024)
ToolACE-MT: Non-Autoregressive Generation for Agentic Multi-Turn Interaction
by: Zeng, Xingshan, et al.
Published: (2025)
by: Zeng, Xingshan, et al.
Published: (2025)
Advancing and Benchmarking Personalized Tool Invocation for LLMs
by: Huang, Xu, et al.
Published: (2025)
by: Huang, Xu, et al.
Published: (2025)
ARTIS: Agentic Risk-Aware Test-Time Scaling via Iterative Simulation
by: Zeng, Xingshan, et al.
Published: (2026)
by: Zeng, Xingshan, et al.
Published: (2026)
ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool Learning
by: Zeng, Xingshan, et al.
Published: (2025)
by: Zeng, Xingshan, et al.
Published: (2025)
Stepwise Reasoning Checkpoint Analysis: A Test Time Scaling Method to Enhance LLMs' Reasoning
by: Wang, Zezhong, et al.
Published: (2025)
by: Wang, Zezhong, et al.
Published: (2025)
Chain-of-Probe: Examining the Necessity and Accuracy of CoT Step-by-Step
by: Wang, Zezhong, et al.
Published: (2024)
by: Wang, Zezhong, et al.
Published: (2024)
Fast, Slow, and Tool-augmented Thinking for LLMs: A Review
by: Jia, Xinda, et al.
Published: (2025)
by: Jia, Xinda, et al.
Published: (2025)
Learning to Edit: Aligning LLMs with Knowledge Editing
by: Jiang, Yuxin, et al.
Published: (2024)
by: Jiang, Yuxin, et al.
Published: (2024)
ACEBench: Who Wins the Match Point in Tool Usage?
by: Chen, Chen, et al.
Published: (2025)
by: Chen, Chen, et al.
Published: (2025)
FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models
by: Jiang, Yuxin, et al.
Published: (2023)
by: Jiang, Yuxin, et al.
Published: (2023)
SELF: Self-Evolution with Language Feedback
by: Lu, Jianqiao, et al.
Published: (2023)
by: Lu, Jianqiao, et al.
Published: (2023)
ToolACE: Winning the Points of LLM Function Calling
by: Liu, Weiwen, et al.
Published: (2024)
by: Liu, Weiwen, et al.
Published: (2024)
ToolACE-DEV: Self-Improving Tool Learning via Decomposition and EVolution
by: Huang, Xu, et al.
Published: (2025)
by: Huang, Xu, et al.
Published: (2025)
KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning
by: Xu, Hongling, et al.
Published: (2025)
by: Xu, Hongling, et al.
Published: (2025)
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
by: Feng, Jiazhan, et al.
Published: (2025)
by: Feng, Jiazhan, et al.
Published: (2025)
YODA: Teacher-Student Progressive Learning for Language Models
by: Lu, Jianqiao, et al.
Published: (2024)
by: Lu, Jianqiao, et al.
Published: (2024)
Tool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch
by: Zeng, Yirong, et al.
Published: (2025)
by: Zeng, Yirong, et al.
Published: (2025)
M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models
by: Kwan, Wai-Chung, et al.
Published: (2023)
by: Kwan, Wai-Chung, et al.
Published: (2023)
MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models
by: Kwan, Wai-Chung, et al.
Published: (2024)
by: Kwan, Wai-Chung, et al.
Published: (2024)
Position: The Real Barrier to LLM Agent Usability is Agentic ROI
by: Liu, Weiwen, et al.
Published: (2025)
by: Liu, Weiwen, et al.
Published: (2025)
iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use
by: Zeng, Yirong, et al.
Published: (2025)
by: Zeng, Yirong, et al.
Published: (2025)
CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models
by: Qiu, Zexuan, et al.
Published: (2024)
by: Qiu, Zexuan, et al.
Published: (2024)
Teaching LLMs According to Their Aptitude: Adaptive Reasoning for Mathematical Problem Solving
by: Xu, Xin, et al.
Published: (2025)
by: Xu, Xin, et al.
Published: (2025)
ReliableMath: Benchmark of Reliable Mathematical Reasoning on Large Language Models
by: Xue, Boyang, et al.
Published: (2025)
by: Xue, Boyang, et al.
Published: (2025)
Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization
by: Jiang, Yuxin, et al.
Published: (2024)
by: Jiang, Yuxin, et al.
Published: (2024)
SafeToolBench: Pioneering a Prospective Benchmark to Evaluating Tool Utilization Safety in LLMs
by: Xia, Hongfei, et al.
Published: (2025)
by: Xia, Hongfei, et al.
Published: (2025)
GUI Agents with Foundation Models: A Comprehensive Survey
by: Wang, Shuai, et al.
Published: (2024)
by: Wang, Shuai, et al.
Published: (2024)
DocPuzzle: A Process-Aware Benchmark for Evaluating Realistic Long-Context Reasoning Capabilities
by: Zhuang, Tianyi, et al.
Published: (2025)
by: Zhuang, Tianyi, et al.
Published: (2025)
OmniGround: A Comprehensive Spatio-Temporal Grounding Benchmark for Real-World Complex Scenarios
by: Gao, Hong, et al.
Published: (2025)
by: Gao, Hong, et al.
Published: (2025)
Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger
by: Li, Wenjun, et al.
Published: (2025)
by: Li, Wenjun, et al.
Published: (2025)
Gradually Excavating External Knowledge for Implicit Complex Question Answering
by: Liu, Chang, et al.
Published: (2026)
by: Liu, Chang, et al.
Published: (2026)
ACE-Router: Generalizing History-Aware Routing from MCP Tools to the Agent Web
by: Yao, Zhiyuan, et al.
Published: (2026)
by: Yao, Zhiyuan, et al.
Published: (2026)
Safe: Enhancing Mathematical Reasoning in Large Language Models via Retrospective Step-aware Formal Verification
by: Liu, Chengwu, et al.
Published: (2025)
by: Liu, Chengwu, et al.
Published: (2025)
A Tool for Benchmarking Large Language Models' Robustness in Assessing the Realism of Driving Scenarios
by: Wu, Jiahui, et al.
Published: (2025)
by: Wu, Jiahui, et al.
Published: (2025)
Data Management For Training Large Language Models: A Survey
by: Wang, Zige, et al.
Published: (2023)
by: Wang, Zige, et al.
Published: (2023)
CCR-Bench: A Comprehensive Benchmark for Evaluating LLMs on Complex Constraints, Control Flows, and Real-World Cases
by: Xue, Xiaona, et al.
Published: (2026)
by: Xue, Xiaona, et al.
Published: (2026)
SDIF-DA: A Shallow-to-Deep Interaction Framework with Data Augmentation for Multi-modal Intent Detection
by: Huang, Shijue, et al.
Published: (2023)
by: Huang, Shijue, et al.
Published: (2023)
Evaluating the External and Parametric Knowledge Fusion of Large Language Models
by: Zhang, Hao, et al.
Published: (2024)
by: Zhang, Hao, et al.
Published: (2024)
EgoPlan-Bench2: A Benchmark for Multimodal Large Language Model Planning in Real-World Scenarios
by: Qiu, Lu, et al.
Published: (2024)
by: Qiu, Lu, et al.
Published: (2024)
Similar Items
-
ToolFlow: Boosting LLM Tool-Calling Through Natural and Coherent Dialogue Synthesis
by: Wang, Zezhong, et al.
Published: (2024) -
ToolACE-MT: Non-Autoregressive Generation for Agentic Multi-Turn Interaction
by: Zeng, Xingshan, et al.
Published: (2025) -
Advancing and Benchmarking Personalized Tool Invocation for LLMs
by: Huang, Xu, et al.
Published: (2025) -
ARTIS: Agentic Risk-Aware Test-Time Scaling via Iterative Simulation
by: Zeng, Xingshan, et al.
Published: (2026) -
ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool Learning
by: Zeng, Xingshan, et al.
Published: (2025)