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R. Binkytė

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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

Last Translation Benchmark

For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, standard benchmarks for machine translation are approaching saturation. Further, automatic translation metrics are unreliable, opaque, and vulne...

Vilém Zouhar, Niyati Bafna, Mukund Choudhary et al. · 0 citations

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