Papers by Tathagata Chakraborti
How Good Are LLMs at Processing Tool Outputs? (2026.eacl-long)
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Kiran Kate, Yara Rizk, Poulami Ghosh, Ashu Gulati, Tathagata Chakraborti, Zidane Wright, Mayank Agarwal
| Challenge: | Real-world task automation tasks require large language models to call tools, which often return complex JSON responses. |
| Approach: | They evaluated 15 open and closed weight models using multiple prompting approaches to evaluate their tool response processing task and their ability to process structured (JSON) responses. |
| Outcome: | The proposed model can process structured (JSON) responses with 3% to 50% performance differences. |