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Fanxiao Li

4 accepted papers

2026

Drifting Away from Truth: GenAI-Driven News Diversity Challenges LVLM-Based Misinformation Detection

AAAI 2026technical

The proliferation of multimodal misinformation poses growing threats to public discourse and societal trust. While Large Vision-Language Models (LVLMs) have enabled recent progress in multimodal misinformation detection (MMD), the rise of generative AI (GenAI) tools introduces a new challenge: GenAI

Cited by 0SourcePDFScholar
2026

Seeing Through Deception: Uncovering Misleading Creator Intent in Multimodal News with Vision-Language Models

ICLR 2026poster

The impact of misinformation arises not only from factual inaccuracies but also from the misleading narratives that creators deliberately embed. Interpreting such creator intent is therefore essential for multimodal misinformation detection (MMD) and effective information governance. To this end, we…

Cited by 0SourcecodeScholar
2025

CMIE: Combining MLLM Insights with External Evidence for Explainable Out-of-Context Misinformation Detection

ACL 2025finding

Multimodal large language models (MLLMs) have demonstrated impressive capabilities in visual reasoning and text generation. While previous studies have explored the application of MLLM for detecting out-of-context (OOC) misinformation, our empirical analysis reveals two persisting challenges of this…

2025

IMRRF: Integrating Multi-Source Retrieval and Redundancy Filtering for LLM-based Fake News Detection

NAACL 2025long

The widespread use of social networks has significantly accelerated the dissemination of information but has also facilitated the rapid spread of fake news, leading to various negative consequences. Recently, with the emergence of large language models (LLMs), researchers have focused on leveraging…