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Ashish Sabharwal

2 papers indexed

arxivcs.AIcs.CLcs.LGcs.MA2026-07-10

AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use

Junzhi Chen, Harsh Trivedi, Jane Pan, Michael JQ Zhang, Tejas Srinivasan, Niranjan Balasubramanian, et al.

Tool-use agents that address day-to-day digital tasks such as ordering groceries must not only operate applications, but also interact with the user, e.g., to ask clarification questions, prompt for confirmation, and inform the user when the instruction is infeasible. However, cu…

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arxivcs.AIcs.CLcs.LG2026-06-28

Evidence-Informed LLM Beliefs for Continual Scientific Discovery

Dhruv Agarwal, Reece Adamson, Andrew McCallum, Peter Clark, Ashish Sabharwal, Bodhisattwa Prasad Majumder

Open-ended scientific discovery with large language models (LLMs) increasingly operates as a long-horizon loop of hypothesis search and verification, where a reward signal guides which hypotheses to test next. A notable recent example is AutoDiscovery, which uses "Bayesian surpri…

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