Junjie Ye

ToolEyes. [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios

MulDimIF. [ACL 2026] A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language Models

RoTBench. [EMNLP 2024] RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning

ToolSword. [ACL 2024] ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages

RethinkingTMSC. [EMNLP 2023] RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification

TL-Training. [EMNLP 2025] TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use

CCTU. CCTU: A Benchmark for Tool Use under Complex Constraints

FTRL. Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments