activity
20242026
collaborators

5 papers

cs.AI2026

FRAMEWORKERS: A Dynamic Multi-Agent Framework for AI-Generated Video Production

Zhendong Li, Lei Sun, Letian Shi +8

Modern video generators excel at synthesizing individual clips, but complete video production requires coordinating a long sequence of interdependent creative steps, including scri…

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

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.CV2025

WikiAutoGen: Towards Multi-Modal Wikipedia-Style Article Generation

Zhongyu Yang, Jun Chen, Dannong Xu +5

Knowledge discovery and collection are intelligence-intensive tasks that traditionally require significant human effort to ensure high-quality outputs. Recent research has explored…

cs.CV2024

Document Haystacks: Vision-Language Reasoning Over Piles of 1000+ Documents

Jun Chen, Dannong Xu, Junjie Fei +2

Large multimodal models (LMMs) have achieved impressive progress in vision-language understanding, yet they face limitations in real-world applications requiring complex reasoning…