collaborators

8 papers

cs.CV2026

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors

Yilin Wang, Xiangxi Zheng, Dongxing Mao +6

Understanding long videos with multimodal large language models (MLLMs) requires selecting a compact set of frames from thousands of candidates, yet identifying the right frames se…

cs.CV2026

FlowInOne:Unifying Multimodal Generation as Image-in, Image-out Flow Matching

Junchao Yi, Rui Zhao, Jiahao Tang +7

Multimodal generation has long been dominated by text-driven pipelines where language dictates vision but cannot reason or create within it. We challenge this paradigm by asking wh…

cs.CV2026

TextGround4M: A Prompt-Aligned Dataset for Layout-Aware Text Rendering

Dongxing Mao, Yilin Wang, Linjie Li +2

Despite recent advances in text-to-image generation, models still struggle to accurately render prompt-specified text with correct spatial layout -- especially in multi-span, struc…

cs.LG2026

RAGEN-2: Reasoning Collapse in Agentic RL

Zihan Wang, Chi Gui, Xing Jin +13

RL training of multi-turn LLM agents is inherently unstable, and reasoning quality directly determines task performance. Entropy is widely used to track reasoning stability. Howeve…

cs.CV2025

Glance: Accelerating Diffusion Models with 1 Sample

Zhuobai Dong, Rui Zhao, Songjie Wu +5

Diffusion models have achieved remarkable success in image generation, yet their deployment remains constrained by the heavy computational cost and the need for numerous inference…

cs.CV2025

VCode: a Multimodal Coding Benchmark with SVG as Symbolic Visual Representation

Kevin Qinghong Lin, Yuhao Zheng, Hangyu Ran +5

Code has emerged as a precise and executable medium for reasoning and action in the agent era. Yet, progress has largely focused on language-centric tasks such as program synthesis…