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cs.AI2026
Disentangling Robustness and Sycophancy in Multilingual LLMs
Rhitabrat Pokharel, Ameeta Agrawal
When a multilingual LLM agrees with a user's false premise, is it being sycophantic, or does it simply not know better in that language? Current research does not distinguish these…
cs.CL2026
Cross-Lingual Activation Steering for Multilingual Language Models
Rhitabrat Pokharel, Ameeta Agrawal, Tanay Nagar
Large language models exhibit strong multilingual capabilities, yet significant performance gaps persist between dominant and non-dominant languages. Prior work attributes this gap…
cs.CL2026
From Policy to Logic for Efficient and Interpretable Coverage Assessment
Rhitabrat Pokharel, Hamid Reza Hassanzadeh, Ameeta Agrawal
Large Language Models (LLMs) have demonstrated strong capabilities in interpreting lengthy, complex legal and policy language. However, their reliability can be undermined by hallu…