Papers by Yanyi Huang

2 papers
Dynamic Emotion and Personality Profiling for Multimodal Deception Detection (2026.acl-long)

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Challenge: Existing methods for deception detection lack sample-level dynamic annotations for emotions and personality.
Approach: They propose a multi-model multi-prompt annotation scheme and a strict label quality evaluation standard for deception, emotion, and personality annotations.
Outcome: The proposed framework outperforms state-of-the-art models on the MDPE and DDEP datasets.
Learning Diverse Responses with Prefix-Conditioned Supervised Fine-Tuning (2026.acl-long)

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Challenge: Large language models exhibit highly homogeneous, repetitive responses, resulting in inefficient exploration.
Approach: They propose a method that constructs semantically consistent yet distributionally distinct prior contents to different responses and decouple the one-to-many mapping.
Outcome: The proposed method improves absolute performance by 5.3% and increases generation diversity by 198.3% on average while significantly enhancing output diversity and test-time scaling.

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