activity
20242026
most citedActivating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference

1 citations · 1 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.AI2026

Socratic Skill Learning: Interleaving Teaching and Practice for Transferable Agent Skills

Letian Zhu, Han Li, Yifan Yao +9

Agent Skills improve LLM agents by making task knowledge reusable across sessions. Learning transferable Skills requires evidence about a procedure and its conditions of use, which…

cs.AI2026

Baichuan-M4: A Clinical-Grade Medical Agent System for Continuous Care

Aiyuan Yang, Canbin Piao, Chengfeng Dou +25

Baichuan-M4 is Baichuan Intelligence's clinical-grade medical large model, designed for continuous care rather than single-turn medical question answering. It is built as a coordin…

cs.CV2026

Prisma-World: Camera-Controllable Multi-Agent Video World Model

Huiqiang Sun, Zhan Peng, Size Wu +9

Video world models have made rapid progress in generating controllable visual experiences, but most of them still simulate the world from a single observer. Extending such models t…

cs.CV2026

AdaCodec: A Predictive Visual Code for Video MLLMs

Haowen Hou, Zhen Huang, Zheming Liang +8

Video is temporally redundant: adjacent frames usually share most objects, background, and layout. Yet existing video multimodal large language models (video MLLMs) usually encode…

cs.CV2026

UniReason 1.0: A Unified Reasoning Framework for World Knowledge Aligned Image Generation and Editing

Dianyi Wang, Chaofan Ma, Feng Han +8

Unified multimodal models often struggle with complex synthesis tasks that demand deep reasoning, and typically treat text-to-image generation and image editing as isolated capabil…

cs.CV2026

DeepGen 1.0: A Lightweight Unified Multimodal Model for Advancing Image Generation and Editing

Dianyi Wang, Ruihang Li, Feng Han +17

Current unified multimodal models for image generation and editing typically rely on massive parameter scales (e.g., >10B), entailing prohibitive training costs and deployment foot…