7 papers
What Should a Streaming Video Model Remember?
Haonan Ge, Yiwei Wang, Hang Wu +1
Streaming video understanding models must answer queries at any moment during an ongoing stream, using only what they have observed so far and under fixed memory and computation bu…
GUI Agents for Continual Game Generation
Yixu Huang, Bo Li, Na Li +8
Generating a game is not the same as making one that can be played. Despite advances in code generation, existing approaches treat game generation as one-shot translation from prom…
CamReasoner: Reinforcing Camera Movement Understanding via Structured Spatial Reasoning
Hang Wu, Yujun Cai, Zehao Li +4
Understanding camera dynamics is a fundamental pillar of video spatial intelligence. However, existing multimodal models predominantly treat this task as a black-box classification…
SportR: A Benchmark for Multimodal Large Language Model Reasoning in Sports
Haotian Xia, Haonan Ge, Junbo Zou +16
Deeply understanding sports requires an intricate blend of fine-grained visual perception and rule-based reasoning - a challenge that pushes the limits of current multimodal models…
MRFD: Multi-Region Fusion Decoding with Self-Consistency for Mitigating Hallucinations in LVLMs
Haonan Ge, Yiwei Wang, Ming-Hsuan Yang +1
Large Vision-Language Models (LVLMs) have shown strong performance across multimodal tasks. However, they often produce hallucinations -- text that is inconsistent with visual inpu…
FrameMind: Frame-Interleaved Video Reasoning via Reinforcement Learning
Haonan Ge, Yiwei Wang, Kai-Wei Chang +2
Current video understanding models rely on fixed frame sampling strategies, processing predetermined visual inputs regardless of the specific reasoning requirements of each questio…