Publications (8)
LaERC-S: Improving LLM-based Emotion Recognition in Conversation with Speaker Characteristics
Yumeng Fu, Junjie Wu, Zhongjie Wang +4
Emotion recognition in conversation (ERC), the task of discerning human emotions for each utterance within a conversation, has garnered significant attention in human-computer inte…
Insight-A: Attribution-aware for Multimodal Misinformation Detection
Junjie Wu, Yumeng Fu, Chen Gong +1
AI-generated content (AIGC) technology has emerged as a prevalent alternative to create multimodal misinformation on social media platforms, posing unprecedented threats to societa…
HiEAG: Evidence-Augmented Generation for Out-of-Context Misinformation Detection
Junjie Wu, Yumeng Fu, Nan Yu +1
Recent advancements in multimodal out-of-context (OOC) misinformation detection have made remarkable progress in checking the consistencies between different modalities for support…
BeMERC: Behavior-Aware MLLM-based Framework for Multimodal Emotion Recognition in Conversation
Yumeng Fu, Junjie Wu, Zhongjie Wang +3
Multimodal emotion recognition in conversation (MERC), the task of identifying the emotion label for each utterance in a conversation, is vital for developing empathetic machines.…
ChartAct: A Benchmark for Dynamic Chart Understanding
Muye Huang, Lin Wu, Lingling Zhang +5
Charts are widely used to present complex data for analysis and decision making. Existing chart understanding benchmarks mainly focus on static charts, but real-world charts are of…
E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection
Junjie Wu, Yumeng Fu, Nan Yu +1
Recent studies in Large Vision-Language Models (LVLMs) have demonstrated impressive advancements in multimodal Out-of-Context (OOC) misinformation detection, discerning whether an…