collaborators

5 papers

cs.IR2026

MG-RAG: Multi-Granularity Graph for Multimodal Retrieval-Augmented Generation

Sijun Dai, Qiang Huang, Xiaoxing You +1

Retrieval-Augmented Generation (RAG) mitigates hallucinations in Multimodal Large Language Models (MLLMs), yet existing systems struggle with complex cross-modal reasoning. Flat ve…

cs.CL2026

LLMs Should Incorporate Explicit Mechanisms for Human Empathy

Xiaoxing You, Qiang Huang, Jun Yu

This paper argues that Large Language Models (LLMs) should incorporate explicit mechanisms for human empathy. As LLMs become increasingly deployed in high-stakes human-centered set…

cs.CV2026

Cut to the Chase: Training-free Multimodal Summarization via Chain-of-Events

Xiaoxing You, Qiang Huang, Lingyu Li +2

Multimodal Summarization (MMS) aims to generate concise textual summaries by understanding and integrating information across videos, transcripts, and images. However, existing app…

cs.CL2026

When Abundance Conceals Weakness: Knowledge Conflict in Multilingual Models

Jiaqi Zhao, Qiang Huang, Haodong Chen +2

Large Language Models (LLMs) encode vast world knowledge across multiple languages, yet their internal beliefs are often unevenly distributed across linguistic spaces. When externa…

cs.CV2025

Knowledge Completes the Vision: A Multimodal Entity-aware Retrieval-Augmented Generation Framework for News Image Captioning

Xiaoxing You, Qiang Huang, Lingyu Li +4

News image captioning aims to produce journalistically informative descriptions by combining visual content with contextual cues from associated articles. Despite recent advances,…