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#artificial intelligence Preprint Sep 2026

Toward Robust Personalized Alignment for LLMs: Mitigating Persona Drift in Multi-Turn Dialogue

This work proposes CORE, which separates turn-local evidence from persistent persona-state revision and selectively updates grounded user preferences through uncertainty-aware belief revision, and introduces PERSIST, a held-out post-anchor benchmark for persona-state robustness under sequential interaction stress.

Youyuan Zhang, Si-Yuan Li, Fang-Ming Liu et al. · 1 citation
#natural language process... Preprint Sep 2026

FPCO-Dialog: A Multi-Turn False-Premise Benchmark for Correction and Cooperation in Vision-Language Models

FPCO-Dialog is introduced, a benchmark for evaluating correction and cooperation behavior in VLMs under repeated false premises, and reveals substantial and persistent cross-model differences in aggregate correction tendency, model-specific turn-wise dynamics, and systematic variation across false-premise types under t...

Jiayuan Ma, Yu-Qi Lu, Wei-Yang Guo et al. · 0 citations

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