tool learning

Budget-Constrained Tool Learning with Planning ACL 2024 Calc-CMU at SemEval-2024 Task 7: Pre-Calc - Learning to Use the Calculator Improves Numeracy in Language Models SemEval 2024 Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum AAAI 2024 CToolEval: A Chinese Benchmark for LLM-Powered Agent Evaluation in Real-World API Interactions ACL 2024 Enhancing Tool Retrieval with Iterative Feedback from Large Language Models EMNLP 2024 Learning to Use Tools via Cooperative and Interactive Agents EMNLP 2024 LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error ACL 2024 Making Language Models Better Tool Learners with Execution Feedback NAACL 2024 Planning and Editing What You Retrieve for Enhanced Tool Learning NAACL 2024 Query Routing for Homogeneous Tools: An Instantiation in the RAG Scenario EMNLP 2024 RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning EMNLP 2024 Small LLMs Are Weak Tool Learners: A Multi-LLM Agent EMNLP 2024 StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models ACL 2024 Toolken+: Improving LLM Tool Usage with Reranking and a Reject Option EMNLP 2024 ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages ACL 2024 Towards Autonomous Tool Utilization in Language Models: A Unified, Efficient and Scalable Framework COLING 2024 Towards Robust Multi-Modal Reasoning via Model Selection ICLR 2024