20 papers
Why Keep Your Doubts to Yourself? Trading Visual Uncertainties in Multi-Agent Bandit Systems
Jusheng Zhang, Yijia Fan, Kaitong Cai +6
Vision-Language Models (VLMs) enable powerful multi-agent systems, but scaling them is economically unsustainable: coordinating heterogeneous agents under information asymmetry oft…
Self-Rewarded Multimodal Coherent Reasoning Across Diverse Visual Domains
Jesen Zhang, Ningyuan Liu, Kaitong Cai +5
Multimodal LLMs often produce fluent yet unreliable reasoning, exhibiting weak step-to-step coherence and insufficient visual grounding, largely because existing alignment approach…
CoAgent: Collaborative Planning and Consistency Agent for Coherent Video Generation
Qinglin Zeng, Kaitong Cai, Ruiqi Chen +2
Maintaining narrative coherence and visual consistency remains a central challenge in open-domain video generation. Existing text-to-video models often treat each shot independentl…
RevFFN: Memory-Efficient Full-Parameter Fine-Tuning of Mixture-of-Experts LLMs with Reversible Blocks
Ningyuan Liu, Jing Yang, Kaitong Cai +1
Full parameter fine tuning is a key technique for adapting large language models (LLMs) to downstream tasks, but it incurs substantial memory overhead due to the need to cache exte…
FlashVLM: Text-Guided Visual Token Selection for Large Multimodal Models
Kaitong Cai, Jusheng Zhang, Jing Yang +4
Large vision-language models (VLMs) typically process hundreds or thousands of visual tokens per image or video frame, incurring quadratic attention cost and substantial redundancy…
SirenPose: Dynamic Scene Reconstruction via Geometric Supervision
Kaitong Cai, Jensen Zhang, Jing Yang +1
We introduce SirenPose, a geometry-aware loss formulation that integrates the periodic activation properties of sinusoidal representation networks with keypoint-based geometric sup…