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20222026
most citedTune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation

27 citations · 29 across the 11 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

UR-MLLM: Uncertainty-aware Revisit Reasoning in Multimodal Large Language Models for Radiology Report Generation

Yucheng Chen, Yang Yu, Jiazhou Zhou +5

Radiologists generate diagnostic reports through iterative and selective revisiting of suspicious regions to refine their interpretations. Recent multimodal large language models (…

cs.CV2026

Seeing Through Multiple Views: Parameter-Efficient Fine-Tuning via Selective Neurons for Consistent Radiology Report Generation

Yucheng Chen, Jinjing Zhu, Yang Yu +7

Recent years have seen substantial advances in radiology report generation (RRG), yet existing approaches predominantly adopt direct feature fusion when handling multi-view X-ray i…

cs.CV2026

One Sentence, One Drama: Personalized Short-Form Drama Generation via Multi-Agent Systems

Yufei Shi, Weilong Yan, Naixuan Huang +5

Existing approaches for digital short-drama production typically rely on one-shot LLM generated scripts and loosely coupled pipelines, which fail to satisfy three key requirements…

cs.CV2026

RIHA: Report-Image Hierarchical Alignment for Radiology Report Generation

Yucheng Chen, Yang Yu, Yufei Shi +3

Radiology report generation (RRG) has emerged as a promising approach to alleviate radiologists' workload and reduce human errors by automatically generating diagnostic reports fro…

cs.CL2026

Beyond Local vs. External: A Game-Theoretic Framework for Trustworthy Knowledge Acquisition

Rujing Yao, Yufei Shi, Yang Wu +5

Cloud-hosted Large Language Models (LLMs) offer unmatched reasoning capabilities and dynamic knowledge, yet submitting raw queries to these external services risks exposing sensiti…

cs.CV2026

4DPChat: Towards Dynamic Point Cloud Understanding with Failure-Aware Bootstrapping

Xindan Zhang, Weilong Yan, Yufei Shi +5

Point clouds provide a compact and expressive representation of 3D objects, and have recently been integrated into multimodal large language models (MLLMs). However, existing metho…