collaborators

8 papers

cs.CV2026

STaR-KV: Spatio-Temporal Adaptive Re-weighting for KV Cache Compression in GUI Vision-Language Models

Yuhang Han, Wenzheng Yang, Yujie Chen +4

Vision-language-model-based graphical user interface (GUI) agents have shown broad automation capabilities, yet deployment is bottlenecked by a key-value (KV) cache that grows line…

cs.AI2026

Stability Implies Redundancy: Delta Attention Selective Halting for Efficient Long-Context Prefilling

Yujie Chen, Tailai Chen, Yifeng Gao +4

Prefilling computational costs pose a significant bottleneck for Large Language Models (LLMs) and Large Multimodal Models (LMMs) in long-context settings. While token pruning reduc…

cs.CL2026

PRISM: Probing Reasoning, Instruction, and Source Memory in LLM Hallucinations

Yuhe Wu, Guangyu Wang, Yuran Chen +6

As large language models (LLMs) evolve from conversational assistants into agents capable of handling complex tasks, they are increasingly deployed in high-risk domains. However, e…

cs.CL2026

MUNIChus: Multilingual News Image Captioning Benchmark

Yuji Chen, Alistair Plum, Hansi Hettiarachchi +4

The goal of news image captioning is to generate captions by integrating news article content with corresponding images, highlighting the relationship between textual context and v…

cs.CV2026

WorldVQA: Measuring Atomic World Knowledge in Multimodal Large Language Models

Runjie Zhou, Youbo Shao, Haoyu Lu +16

We introduce WorldVQA, a benchmark designed to evaluate the atomic visual world knowledge of Multimodal Large Language Models (MLLMs). Unlike current evaluations, which often confl…

cs.SD2026

Evaluating and Rewarding LALMs for Expressive Role-Play TTS via Mean Continuation Log-Probability

Yong Ren, Jingbei Li, Haiyang Sun +6

Recent advances in Large Audio Language Models (LALMs) have extended Text-to-Speech (TTS) to interactive role-play scenarios, which demand high expressiveness and strict adherence…

cs.MM2025

Mitigating Audiovisual Mismatch in Visual-Guide Audio Captioning

Le Xu, Chenxing Li, Yong Ren +5

Current vision-guided audio captioning systems frequently fail to address audiovisual misalignment in real-world scenarios, such as dubbed content or off-screen sounds. To bridge t…

cs.MM2025

Hearing from Silence: Reasoning Audio Descriptions from Silent Videos via Vision-Language Model

Yong Ren, Chenxing Li, Le Xu +7

Humans can intuitively infer sounds from silent videos, but whether multimodal large language models can perform modal-mismatch reasoning without accessing target modalities remain…