Author

Moumita Choudhury

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#artificial intelligence Review Oct 2026

The Helpful Agent Problem: When Emergent Cooperation Among LLM Agents Bypasses Intended Workflows

LLM agents are increasingly deployed in collaborative settings where they pursue separate tasks while sharing resources and operating under review or oversight processes. Such settings create safety risks not only when agents are malicious, but also when they are simply trying to help. Prior work has largely studied ad...

Moumita Choudhury, Amit Sarker, S. Zilberstein · 0 citations

#artificial intelligence Preprint Oct 2026

Knowing Whom to Trust is not Enough: The Trust--Agreement Gap in Repeated Multi-Party LLM Negotiation

This work introduces a repeated, multi-party, multi-issue negotiation framework in which recurring agents participate in a sequence of negotiation games while one participant covertly attempts to prevent agreement.

Amit Sarker, Moumita Choudhury, Saaduddin Mahmud et al. · 0 citations

Jul 2026

Training Language Models to Cooperate with Inference-Time Controllers

CALM (Controller-Aware Language Models), a post-training framework that explicitly places controllers in the training loop, is introduced, showing that controller-aware post-training improves generalization across inference-time workflows beyond single-controller optimization.

Moumita Choudhury, Vanshaj Khattar, Jing Liu et al. · arXiv.org · 0 citations