TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use

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

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

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

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