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Sidharth Pulipaka

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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
#artificial intelligence Preprint Sep 2026

Share-Borne AI Virus: Memory-Hopping Attacks Across LLM Agents

This work introduces artifact-mediated propagation, where adversarial content introduced through an artifact is stored in an assistant's persistent memory, reproduced in a subsequently created artifact, and acquired by another assistant that later reads it.

Sidharth Pulipaka, Anshu Sharma, Stanislau Hlebik et al. · 0 citations

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