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20202026
most citedIs ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

26 citations · 74 across the 40 of their papers we have counts for

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cs.CV2026

NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: Professional Image Quality Assessment (Track 1)

Guanyi Qin, Jie Liang, Bingbing Zhang +50

In this paper, we present an overview of the NTIRE 2026 challenge on the 3rd Restore Any Image Model in the Wild, specifically focusing on Track 1: Professional Image Quality Asses…

cs.CV2026

Redefining Quality Criteria and Distance-Aware Score Modeling for Image Editing Assessment

Xinjie Zhang, Qiang Li, Xiaowen Ma +3

Recent advances in image editing have heightened the need for reliable Image Editing Quality Assessment (IEQA). Unlike traditional methods, IEQA requires complex reasoning over mul…

cs.CV2026

VISOR: Agentic Visual Retrieval-Augmented Generation via Iterative Search and Over-horizon Reasoning

Yucheng Shen, Jiulong Wu, Jizhou Huang +3

Visual Retrieval-Augmented Generation (VRAG) empowers Vision-Language Models to retrieve and reason over visually rich documents. To tackle complex queries requiring multi-step rea…

cs.CV2025

Facial-R1: Aligning Reasoning and Recognition for Facial Emotion Analysis

Jiulong Wu, Yucheng Shen, Lingyong Yan +4

Facial Emotion Analysis (FEA) extends traditional facial emotion recognition by incorporating explainable, fine-grained reasoning. The task integrates three subtasks: emotion recog…

cs.CV2025

Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization

Jiulong Wu, Zhengliang Shi, Shuaiqiang Wang +5

Large Visual Language Models (LVLMs) have demonstrated impressive capabilities across multiple tasks. However, their trustworthiness is often challenged by hallucinations, which ca…