Papers by Sophia Xiao Pu

2 papers
ChatAnime: Towards User-Centered Emotional Support in LLM-based Virtual Character Chat (2026.acl-long)

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Challenge: Existing research focuses on character consistency in fictional or game-based scenarios . ESRP framework is designed to align role-playing with real-world user scenarios based on emotional needs.
Approach: They propose a framework to align role-playing with real-world user scenarios and emotional needs.
Outcome: The proposed framework aligns role-playing with real-world user scenarios and emotional needs.
Dynamic Evaluation for Oversensitivity in LLMs (2025.findings-emnlp)

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Challenge: Existing benchmarks rely on static datasets that degrade over time as models evolve, leading to data contamination and diminished evaluative power.
Approach: They construct a framework that generates model-specific challenging datasets and aggregates them across diverse LLM families.
Outcome: The framework captures emerging defensive patterns and aligns with each model’s unique behavior.

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