Chaithanya Bandi — accepted AI-conference papers

2026

ResearchRubrics: A Benchmark of Prompts and Rubrics For Deep Research Agents

Manasi Sharma, Chen Bo Calvin Zhang, Chaithanya Bandi, Ankit Aich, Huy Nghiem, Tahseen Rabbani +10

ICLR 2026poster

Deep Research (DR) is an emerging agent application that leverages large language models (LLMs) to address open-ended queries. It requires the integration of several capabilities, including multi-step reasoning, cross-document synthesis, and the generation of evidence-backed, long-form answers. Eval…

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2025

Position: Require Frontier AI Labs To Release Small "Analog" Models

Shriyash Kaustubh Upadhyay, Philip Quirke, Narmeen Fatimah Oozeer, Chaithanya Bandi

NeurIPS 2025poster

Recent proposals for regulating frontier AI models have sparked concerns about the cost of safety regulation, and most such regulations have been shelved due to the safety-innovation tradeoff. This paper argues for an alternative regulatory approach that ensures AI safety while actively \textit{prom…

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