Papers by Fangxu Yu

3 papers
Beyond Verbal Cues: Emotional Contagion Graph Network for Causal Emotion Entailment (2025.findings-acl)

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Challenge: Recent studies have focused on identifying the causes of emotions by understanding verbal contextual utterances, but this study often lacks recognizing the underlying emotional stimuli present in these utterrances.
Approach: They propose an Emotional Contagion Graph Network that simulates the impact of non-verbal emotional cues on the counterpart’s emotions.
Outcome: The proposed model is compared with state-of-the-art models on a benchmark dataset and the results are encouraging.
ArrowGEV: Grounding Events in Video via Learning the Arrow of Time (2026.findings-acl)

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Challenge: Existing approaches for grounding events in videos are limited by their time-sensitive nature . arrow of time in physics characterizes intrinsic directionality of temporal processes .
Approach: They propose a framework that explicitly models temporal directionality in events to improve event grounding and temporal understanding in VLMs.
Outcome: The proposed framework improves event grounding and directionality understanding in VLMs.
Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in Conversation (2024.findings-naacl)

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Challenge: Emotion Recognition in Conversation (ERC) is a task that aims to identify the emotions behind each utterance in a conversation.
Approach: They propose an Emotion-Anchored Contrastive Learning framework that generates more distinguishable utterance representations for similar emotions.
Outcome: The proposed framework achieves state-of-the-art on similar emotions and performs well on similar ones.

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