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20232026
most citedEmpirical Study of Zero-Shot NER with ChatGPT

3 citations · 12 across the 32 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

VideoWeaver: Evaluating and Evolving Skills for Agentic Long Video Generation

Jianhui Wei, Jie Tan, Hengchuan Zhu +7

Agentic long video generation requires planning, tool orchestration, and cross-clip coordination over a long horizon. Most existing video agents either rely on static, human-crafte…

cs.CV2026

Scaling Video Pretraining for Surgical Foundation Models

Sicheng Lu, Zikai Xiao, Jianhui Wei +7

Surgical video understanding is essential for computer-assisted interventions, yet existing surgical foundation models remain constrained by limited data scale, procedural diversit…

cs.CV2026

UniVBench: Towards Unified Evaluation for Video Foundation Models

Jianhui Wei, Xiaotian Zhang, Yichen Li +6

Video foundation models aim to integrate video understanding, generation, editing, and instruction following within a single framework, making them a central direction for next-gen…

cs.CV2025

SurgBench: A Unified Large-Scale Benchmark for Surgical Video Analysis

Jianhui Wei, Zikai Xiao, Danyu Sun +4

Surgical video understanding is pivotal for enabling automated intraoperative decision-making, skill assessment, and postoperative quality improvement. However, progress in develop…

cs.CV2025

HSCR: Hierarchical Self-Contrastive Rewarding for Aligning Medical Vision Language Models

Songtao Jiang, Yan Zhang, Yeying Jin +5

Medical Vision-Language Models (Med-VLMs) have achieved success across various tasks, yet most existing methods overlook the modality misalignment issue that can lead to untrustwor…

cs.CV2024★ 2 cited

Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language Models

Songtao Jiang, Tuo Zheng, Yan Zhang +3

Recent advancements in general-purpose or domain-specific multimodal large language models (LLMs) have witnessed remarkable progress for medical decision-making. However, they are…