Papers by Dezhi Zhao

2 papers
Vision-Language Models Mistake Head Orientation for Gaze Direction: Nonverbal Conversation Cues (2026.findings-acl)

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Challenge: Where someone looks is a nonverbal communication cue that children and adults readily use.
Approach: They used 1,360 real-world photos to construct evaluation stimuli for Vision-Language Models (VLMs) they found a substantial performance gap between VLMs and humans .
Outcome: The proposed model outperforms existing models in predicting gaze direction using head orientation rather than eye appearance.
Probing and Boosting Large Language Models Capabilities via Attention Heads (2025.emnlp-main)

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Challenge: Existing approaches to identifying capabilities rely on external signals with limited structural grounding . emergence of specific capabilities remains poorly understood .
Approach: They propose a lightweight approach that links LLM capabilities to internal components by identifying correspondences at the level of attention heads.
Outcome: The proposed approach improves accuracy on MMLU and BBH by 1 to 1.5 points over gradient-based method and 5 to 6 points over other intermediate-state baselines.

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