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Geng Tu

AAAI 2026×2SIGIR 2026×2推理多模态智能体与工具可解释性效率与系统
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2 一作 · 4 篇 · AAAI 2026 / SIGIR 2026

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2026 顶会论文

4
一作SIGIR 2026Poster· Information Retrieval (Short)

A Graph-Enhanced MLLM for Hierarchical Multimodal Emotion Understanding and Support in Conversations

Geng Tu · Taiyu Niu · Xi Zeng · Ruifeng Xu · Min Zhang

摘要

Multimodal emotion dialogue system involves a hierarchical progression: Perception (Multimodal Emotion Recognition in Conversation, MERC), Reasoning (Multimodal Emotion-Cause Pair Extraction, MECPE), and Support (Multimodal Emotional Support Conversation, MESC). Although existing methods have shi...

推理可解释性多模态OpenReview
作者位次 #2/5SIGIR 2026Poster· Information Retrieval (Short)

SocialDropout: Dynamic Agent Dropout for Social Simulation

Huajie Wang · Geng Tu · Xi Zeng · Ruifeng Xu · Min Zhang

摘要

Large language model driven multi-agent social simulation frameworks enable realistic modeling of complex societal dynamics but incur substantial computational overhead due to dense agent participation and extensive interaction costs. To address this limitation, we propose SocialDropout, a reinfo...

智能体与工具效率与系统评测与基准OpenReview
一作AAAI 2026Poster· Artificial Intelligence

Consensus-Driven Multi-Agent Cognitive Reasoning for Enhancing the Emotional Intelligence of Large Language Models

Geng Tu · Dingming Li · Jun Huang · Ruifeng Xu

智能体与工具推理OpenReview
作者位次 #2/4AAAI 2026Poster· Artificial Intelligence

Causal-ERC: A Multimodal Framework with Causal Prompting for Emotion Recognition in Conversations with Large Language Models

Ran Jing · Geng Tu · Yice Zhang · Ruifeng Xu

多模态OpenReview

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