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Ivaxi Sheth

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#artificial intelligence Preprint Sep 2026

FIGS: Evaluating Multi-Turn Sycophancy Without Penalizing Empathy

Large language models frequently fail to balance staying truthful with being supportive. They often exhibit sycophancy in responses to users, agreeing with false claims, offering unwarranted flattery, and giving advice skewed toward users'expressed views. In reality, sycophancy rarely happens in a single exchange; it m...

Sidharth Pulipaka, R. Binkytė, Ivaxi Sheth et al. · 0 citations
#natural language process... Preprint Sep 2026

When Tools Get in the Way: The Effect of Unnecessary Tool Availability on LLM Answering

Large language models (LLMs) are increasingly deployed with external tools that extend what they can do beyond their own knowledge. Tools help on tasks that need external information, but their availability may also change how a model handles questions that do not need them. Prior work has mostly asked whether models s...

Saanvi Paturi, Arsen Kenzhebayev, Arham Sethi et al. · 0 citations

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