TIDE-Bench: New Benchmark for Tool-Integrated AI Reasoning
A new benchmark named TIDE-Bench has been developed by researchers to assess tool-integrated reasoning (TIR) in large language models. This benchmark aims to overcome existing challenges related to dataset quality, task variety, diagnostic thoroughness, and evaluation effectiveness. It includes a range of task scenarios, merging mathematical reasoning and knowledge-intensive question answering, along with two innovative tasks: tool-grounded experimental design and dynamic interactive challenges. These tasks evaluate the models' capabilities in complex tool usage and coordination among multiple tools. Furthermore, TIDE-Bench employs a thorough yet task-sensitive evaluation method that measures both the quality of final answers and process-level diagnostics. The findings are published in arXiv preprint 2605.09544.
Key facts
- TIDE-Bench is a benchmark for evaluating tool-integrated reasoning in LLMs.
- It includes two new tasks: tool-grounded experimental design and dynamic interactive tasks.
- The benchmark combines mathematical reasoning and knowledge-intensive QA tasks.
- It uses a task-aware evaluation protocol measuring answer quality and process diagnostics.
- The research is published on arXiv with ID 2605.09544.
Entities
Institutions
- arXiv