Author

Sahar Abdelnabi

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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

SEABench: Benchmarking Endogenous Misalignment In Self-Evolving Agents

Self-evolving LLM agents have gained prominence for their ability to improve after deployment by modifying their harness, including their controller instructions, memory management protocols, and reusable tools and skills, in response to user and environment feedback. However, locally useful updates may persist into la...

Saswat Das, Parvati Viswanathan, Daniel Donnelly et al. · 0 citations