Papers by Zhi Zeng

5 papers
IMOL: Incomplete-Modality-Tolerant Learning for Multi-Domain Fake News Video Detection (2025.acl-long)

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Challenge: Existing methods for fake news video detection focus on a specific domain and assume multiple modalities.
Approach: They propose an incomplete-modality-tolerant learning framework for fake news video detection . they use cross-modal consistency to reconstruct missing modalities and transferable knowledge through cross-sample reasoning .
Outcome: The proposed framework improves performance and robustness of multi-domain fake news video detection while generalizing to unseen domains under incomplete modality conditions.
Event-Radar: Event-driven Multi-View Learning for Multimodal Fake News Detection (2024.acl-long)

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Challenge: Existing methods for detecting multimedia fake news have demonstrated excellent results . however, addressing event-level inconsistency and learning from poor-quality news remains a challenge .
Approach: They propose an Event-diven fake news detection framework that integrates visual manipulation, textual emotion and multimodal inconsistency at event-level for fake news identification.
Outcome: The proposed framework performs well on three large-scale fake news detection benchmarks.
From Detection to Understanding: Multi-Turn Reasoning for Video Misinformation Analysis (2026.acl-long)

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Challenge: Existing benchmarks focus on binary veracity judgments and do not evaluate process-level justifications for misinformation models.
Approach: They propose a video misinformation analysis benchmark that assesses reasoning in video misinterpretation.
Outcome: The proposed framework improves reasoning accuracy and explanation quality compared to existing models . it covers 12 fine-grained deception categories and progresses from perceptual attribution to intent and persuasion analysis.
From What Is Said to Why It Is Framed: Intent-Aware News Video Understanding (2026.findings-acl)

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Challenge: Existing verification methods for short-form news videos neglect communicative intent . stylistic presentation and factual manipulation are often intertwined, resulting in shortcut learning .
Approach: They propose a theory-grounded representation of communicative intent that captures creator stance, audience need activation, and communication strategy.
Outcome: The proposed framework captures creator stance, audience need activation, and communication strategy.
KuiLeiXi: a Chinese Open-Ended Text Adventure Game (2021.acl-demo)

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Challenge: Recent advances in pre-trained language models have made it possible to generate human-like text.
Approach: They propose to integrate an open-ended text adventure game in Chinese, named KuiLeiXi, where players interact with the AI until the plot goals are reached.
Outcome: The proposed game lacks incentives and relies on players to explore on their own.

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