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Chen GONG

ICML 2026×3ACL 2026×2可解释性推理安全效率与系统智能体与工具
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0 一作 · 5 篇 · ICML 2026 / ACL 2026

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2026 顶会论文

5
作者位次 #2/3ACL 2026Poster· Natural Language Processing

Locate and Explain: Joint Multimodal Emotion Cause Extraction and Summarization in Conversation

Jikun Wan · Chen GONG · Guohong Fu

摘要

Multimodal emotion cause analysis in conversation aims to identify the causes of emotions by leveraging multimodal information. Existing studies mainly formulate this problem as either utterance-level emotion cause extraction, which provides clear cause localization but limited explanation, or mu...

可解释性多模态评测与基准OpenReview 项目页
作者位次 #3/4ACL 2026Findings· Findings of ACL

Think Smart, Not Hard: Difficulty Adaptive Reasoning for Large Audio Language Models

Zhichao Sheng · Shilin Zhou · Chen GONG · Zhenghua Li

摘要

Large Audio Language Models (LALMs) employing the Chain-of-Thought paradigm have demonstrated remarkable reasoning capabilities. Though different problems naturally require varying depths of reasoning, existing methods often determine whether to perform reasoning, lacking fine-grained mechanisms...

推理对齐与偏好可解释性OpenReview 项目页

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