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20242026
most citedUnlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient

3 citations · 4 across the 16 of their papers we have counts for

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7 papers · 1 filter

cs.CV2025

OpusAnimation: Code-Based Dynamic Chart Generation

Bozheng Li, Miao Yang, Zhenhan Chen +9

Dynamic Chart Generation (DCG) involves producing code-rendered animated visualizations as charts. While recent advances in multi-modal large language models (MLLMs) have significa…

cs.CV2025

SoccerNet 2025 Challenges Results

Silvio Giancola, Anthony Cioppa, Marc Gutiérrez-Pérez +115

The SoccerNet 2025 Challenges mark the fifth annual edition of the SoccerNet open benchmarking effort, dedicated to advancing computer vision research in football video understandi…

cs.LG2025

On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification

Yongliang Wu, Yizhou Zhou, Zhou Ziheng +7

In this work, we present a simple yet theoretically motivated improvement to Supervised Fine-Tuning (SFT) for the Large Language Model (LLM), addressing its limited generalization…

cs.AI2025

LayerCake: Token-Aware Contrastive Decoding within Large Language Model Layers

Jingze Zhu, Yongliang Wu, Wenbo Zhu +7

Large language models (LLMs) excel at natural language understanding and generation but remain vulnerable to factual errors, limiting their reliability in knowledge-intensive tasks…

cs.CV2025

RSVP: Reasoning Segmentation via Visual Prompting and Multi-modal Chain-of-Thought

Yi Lu, Jiawang Cao, Yongliang Wu +6

Multi-modal Large Language Models (MLLMs) have demonstrated remarkable reasoning capability while lack explicit mechanisms for visual grounding and segmentation, creating a gap bet…

cs.CV2025

KRIS-Bench: Benchmarking Next-Level Intelligent Image Editing Models

Yongliang Wu, Zonghui Li, Xinting Hu +7

Recent advances in multi-modal generative models have enabled significant progress in instruction-based image editing. However, while these models produce visually plausible output…