CCTU: A Benchmark for Tool Use under Complex Constraints
Fuente:
arXiv
Saved in:
| Main Authors: | Ye, Junjie, Zhang, Guoqiang, Fu, Wenjie, Gui, Tao, Zhang, Qi, Huang, Xuanjing |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning
by: Ye, Junjie, et al.
Published: (2024)
by: Ye, Junjie, et al.
Published: (2024)
ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages
by: Ye, Junjie, et al.
Published: (2024)
by: Ye, Junjie, et al.
Published: (2024)
Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments
by: Ye, Junjie, et al.
Published: (2025)
by: Ye, Junjie, et al.
Published: (2025)
TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use
by: Ye, Junjie, et al.
Published: (2024)
by: Ye, Junjie, et al.
Published: (2024)
ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios
by: Ye, Junjie, et al.
Published: (2024)
by: Ye, Junjie, et al.
Published: (2024)
MulDimIF: A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language Models
by: Ye, Junjie, et al.
Published: (2025)
by: Ye, Junjie, et al.
Published: (2025)
60 Data Points are Sufficient to Fine-Tune LLMs for Question-Answering
by: Ye, Junjie, et al.
Published: (2024)
by: Ye, Junjie, et al.
Published: (2024)
FamilyTool: A Multi-hop Personalized Tool Use Benchmark
by: Wang, Yuxin, et al.
Published: (2025)
by: Wang, Yuxin, et al.
Published: (2025)
LLaMA Beyond English: An Empirical Study on Language Capability Transfer
by: Zhao, Jun, et al.
Published: (2024)
by: Zhao, Jun, et al.
Published: (2024)
CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models
by: Lv, Huijie, et al.
Published: (2024)
by: Lv, Huijie, et al.
Published: (2024)
Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels
by: Ye, Junjie, et al.
Published: (2025)
by: Ye, Junjie, et al.
Published: (2025)
LongHeads: Multi-Head Attention is Secretly a Long Context Processor
by: Lu, Yi, et al.
Published: (2024)
by: Lu, Yi, et al.
Published: (2024)
Are Large Language Models Good Prompt Optimizers?
by: Ma, Ruotian, et al.
Published: (2024)
by: Ma, Ruotian, et al.
Published: (2024)
Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement
by: Xi, Zhiheng, et al.
Published: (2023)
by: Xi, Zhiheng, et al.
Published: (2023)
AgentV-RL: Scaling Reward Modeling with Agentic Verifier
by: Zhang, Jiazheng, et al.
Published: (2026)
by: Zhang, Jiazheng, et al.
Published: (2026)
Benchmarking LLM Tool-Use in the Wild
by: Yu, Peijie, et al.
Published: (2026)
by: Yu, Peijie, et al.
Published: (2026)
VRPO: Rethinking Value Modeling for Robust RL Training under Noisy Supervision
by: Zhu, Dingwei, et al.
Published: (2025)
by: Zhu, Dingwei, et al.
Published: (2025)
LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation
by: Zhang, Ming, et al.
Published: (2025)
by: Zhang, Ming, et al.
Published: (2025)
GTA-2: Benchmarking General Tool Agents from Atomic Tool-Use to Open-Ended Workflows
by: Wang, Jize, et al.
Published: (2026)
by: Wang, Jize, et al.
Published: (2026)
FinToolSyn: A forward synthesis Framework for Financial Tool-Use Dialogue Data with Dynamic Tool Retrieval
by: Huang, Caishuang, et al.
Published: (2026)
by: Huang, Caishuang, et al.
Published: (2026)
Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models
by: Xu, Ningyu, et al.
Published: (2026)
by: Xu, Ningyu, et al.
Published: (2026)
LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration
by: Zhao, Jun, et al.
Published: (2024)
by: Zhao, Jun, et al.
Published: (2024)
Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models
by: He, Wei, et al.
Published: (2024)
by: He, Wei, et al.
Published: (2024)
Beyond Scaling: Measuring and Predicting the Upper Bound of Knowledge Retention in Language Model Pre-Training
by: Jiang, Changhao, et al.
Published: (2025)
by: Jiang, Changhao, et al.
Published: (2025)
The Role of Entropy in Visual Grounding: Analysis and Optimization
by: Li, Shuo, et al.
Published: (2025)
by: Li, Shuo, et al.
Published: (2025)
FinMCP-Bench: Benchmarking LLM Agents for Real-World Financial Tool Use under the Model Context Protocol
by: Zhu, Jie, et al.
Published: (2026)
by: Zhu, Jie, et al.
Published: (2026)
On the Tip of the Tongue: Analyzing Conceptual Representation in Large Language Models with Reverse-Dictionary Probe
by: Xu, Ningyu, et al.
Published: (2024)
by: Xu, Ningyu, et al.
Published: (2024)
Benchmarking Complex Instruction-Following with Multiple Constraints Composition
by: Wen, Bosi, et al.
Published: (2024)
by: Wen, Bosi, et al.
Published: (2024)
Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Model
by: Wang, Siyin, et al.
Published: (2024)
by: Wang, Siyin, et al.
Published: (2024)
Why Reinforcement Fine-Tuning Enables MLLMs Preserve Prior Knowledge Better: A Data Perspective
by: Zhang, Zhihao, et al.
Published: (2025)
by: Zhang, Zhihao, et al.
Published: (2025)
OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic Coding
by: Ding, Deming, et al.
Published: (2026)
by: Ding, Deming, et al.
Published: (2026)
Navigating the OverKill in Large Language Models
by: Shi, Chenyu, et al.
Published: (2024)
by: Shi, Chenyu, et al.
Published: (2024)
SciToolAgent: A Knowledge Graph-Driven Scientific Agent for Multi-Tool Integration
by: Ding, Keyan, et al.
Published: (2025)
by: Ding, Keyan, et al.
Published: (2025)
Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation
by: Lu, Yi, et al.
Published: (2025)
by: Lu, Yi, et al.
Published: (2025)
ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use
by: Ye, Junjie, et al.
Published: (2025)
by: Ye, Junjie, et al.
Published: (2025)
Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning
by: Zhao, Jun, et al.
Published: (2024)
by: Zhao, Jun, et al.
Published: (2024)
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
by: Feng, Jiazhan, et al.
Published: (2025)
by: Feng, Jiazhan, et al.
Published: (2025)
CMDAR: A Chinese Multi-scene Dynamic Audio Reasoning Benchmark with Diverse Challenges
by: Li, Hui, et al.
Published: (2025)
by: Li, Hui, et al.
Published: (2025)
From Scores to Preferences: Redefining MOS Benchmarking for Speech Quality Reward Modeling
by: Cao, Yifei, et al.
Published: (2025)
by: Cao, Yifei, et al.
Published: (2025)
ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models
by: Zhang, Yuxiang, et al.
Published: (2024)
by: Zhang, Yuxiang, et al.
Published: (2024)
Similar Items
-
RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning
by: Ye, Junjie, et al.
Published: (2024) -
ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages
by: Ye, Junjie, et al.
Published: (2024) -
Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments
by: Ye, Junjie, et al.
Published: (2025) -
TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use
by: Ye, Junjie, et al.
Published: (2024) -
ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios
by: Ye, Junjie, et al.
Published: (2024)