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20212026
most citedA Systematic Comparison Study on Hyperparameter Optimisation of Graph Neural Networks for Molecular Property Prediction

14 citations · 46 across the 21 of their papers we have counts for

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cs.CV2026

Conversational Human Audio-visual Talking Dialogue Generation

Junhao Song, Lluis Guasch, Xilin He +8

Large-scale dyadic interactive audio-visual dialogue (DIAD) datasets provide fundamental data resources for developing humanoid interactive virtual agents and digital humans. Howev…

cs.CV2026

SVAgent: Storyline-Guided Long Video Understanding via Cross-Modal Multi-Agent Collaboration

Zhongyu Yang, Zuhao Yang, Shuo Zhan +3

Video question answering (VideoQA) is a challenging task that requires integrating spatial, temporal, and semantic information to capture the complex dynamics of video sequences. A…

cs.CV2026

MultiHaystack: Benchmarking Multimodal Retrieval and Reasoning over 40K Images, Videos, and Documents

Dannong Xu, Zhongyu Yang, Jun Chen +6

Multimodal large language models (MLLMs) achieve strong performance on benchmarks that evaluate text, image, or video understanding separately. However, these settings do not asses…

cs.CV2025

InEx: Hallucination Mitigation via Introspection and Cross-Modal Multi-Agent Collaboration

Zhongyu Yang, Yingfang Yuan, Xuanming Jiang +2

Hallucination remains a critical challenge in large language models (LLMs), hindering the development of reliable multimodal LLMs (MLLMs). Existing solutions often rely on human in…

cs.CV2025

Script: Graph-Structured and Query-Conditioned Semantic Token Pruning for Multimodal Large Language Models

Zhongyu Yang, Dannong Xu, Wei Pang +1

The rapid growth of visual tokens in multimodal large language models (MLLMs) leads to excessive memory consumption and inference latency, especially when handling high-resolution…

cs.CV2023★ 3 cited

PaCaNet: A Study on CycleGAN with Transfer Learning for Diversifying Fused Chinese Painting and Calligraphy

Zuhao Yang, Huajun Bai, Zhang Luo +5

AI-Generated Content (AIGC) has recently gained a surge in popularity, powered by its high efficiency and consistency in production, and its capability of being customized and dive…