collaborators

6 papers

cs.CV2026

StreamOPD: A Post-Training Recipe with Spatio-Temporal Cue Gating for Streaming Video Understanding

Keming Wu, Baoyi Wang, Kaichen Zhang +7

Streaming video understanding demands direct responses from the causally observed prefix of an unfolding video. Existing systems add inference-time memory, retrieval, and compressi…

cs.CV2026

Enhancing Pathological VLMs with Cross-scale Reasoning

Chi Phan, Tianyi Zhang, Qiaochu Xue +5

Pathological images are inherently multi-scale, requiring pathologists to integrate evidence from global tissue architecture at low magnification to cellular morphology at higher m…

cs.CV2026

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis

Chi Phan, Tianyi Zhang, Yufeng Wu +7

Pathological diagnosis is inherently multi-scale, requiring the integration of global tissue architecture at low magnification with cellular morphology at higher magnification. How…

cs.AI2026

The Illusion of Multi-Agent Advantage

Prathyusha Jwalapuram, Hehai Lin, Chuyuan Li +7

Prevailing wisdom posits that Multi-Agent Systems (MAS) are superior to Single-Agent Systems (SAS), citing advantages like context protection, parallel processing and distributed d…

cs.AI2026

Resource-Efficient Reinforcement for Reasoning Large Language Models via Dynamic One-Shot Policy Refinement

Yunjian Zhang, Sudong Wang, Yang Li +5

Large language models (LLMs) have exhibited remarkable performance on complex reasoning tasks, with reinforcement learning under verifiable rewards (RLVR) emerging as a principled…

cs.CV2025

Towards Understanding How Knowledge Evolves in Large Vision-Language Models

Sudong Wang, Yunjian Zhang, Yao Zhu +4

Large Vision-Language Models (LVLMs) are gradually becoming the foundation for many artificial intelligence applications. However, understanding their internal working mechanisms h…