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Qilang Ye

AAAI 2026×3ACL 2026×2NeurIPS 2026多模态可解释性检索与知识推理智能体与工具
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3 一作 · 6 篇 · AAAI 2026 / ACL 2026 / NeurIPS 2026

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2026 顶会论文

6
一作NeurIPS 2026Poster· Computer Vision / Vision Models & Multimodal

RAO-Nav: Probing Omni-Language Models for Zero-shot Semantic Audio-Visual Navigation

Qilang Ye · Meng Liu · Yu Zhou

多模态可解释性OpenReview
作者位次 #3/6ACL 2026Poster· Natural Language Processing

Retrieving to Recover: Towards Incomplete Audio-Visual Question Answering via Semantic-consistent Purification

Jiayu Zhang · Shuo Ye · Qilang Ye · Zihan Song · JIAJIAN HUANG · Zitong Yu

摘要

Recent Audio-Visual Question Answering (AVQA) methods have advanced significantly. However, most AVQA methods lack effective mechanisms for handling missing modalities, suffering from severe performance degradation in real-world scenarios with data interruptions. Furthermore, prevailing methods f...

检索与知识多模态推理OpenReview 项目页
作者位次 #2/5ACL 2026Findings· Findings of ACL

MAVIS : Multi-Agent Video Retrieval via Structured Video Understanding

Jie Zhang · Qilang Ye · Hao Zhou · Haochen Liang · Fei Luo

摘要

The dominant paradigm in video retrieval relies on embedding-based full-corpus scanning, which suffers from inherent computational inefficiency and the semantic asymmetry between information-dense videos and sparse textual queries. To bridge this gap, we introduce MAVIS , a novel multi-agent fram...

推理智能体与工具可解释性OpenReview 项目页

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