Author

Shamik Bose

2 papers indexed here

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#artificial intelligence Jan 2026

AgenTRIM: Tool Risk Mitigation for Agentic AI

AgenTRIM is introduced, a framework for detecting and mitigating tool-driven agency risks without altering an agent's internal reasoning that provides a practical, capability-preserving approach to safer tool use in LLM-based agents.

Roy Betser, Amit Giloni, Shamik Bose et al. · arXiv.org · 14 citations · ⚡2

#artificial intelligence Preprint Aug 2026

Terminal-Bench-LILT: Multilingual Agentic Coding Benchmark Grounded in Language, Region, and Culture

Evaluation of six frontier models reveals that even the strongest model reaches only 63.1\% pass rate, with many tasks unsolved by any model, highlighting that multilingual coding competence is a distinct and underexplored capability axis.

Yunsu Kim, Kaden Uhlig, Ashwin Purohit et al. · 0 citations