Cover Image

Judge Anything: MLLM as a Judge Across Any Modality

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pu, Shu, Wang, Yaochen, Chen, Dongping, Chen, Yuhang, Wang, Guohao, Qin, Qi, Zhang, Zhongyi, Zhang, Zhiyuan, Zhou, Zetong, Gong, Shuang, Gui, Yi, Wan, Yao, Yu, Philip S.
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark
by: Chen, Dongping, et al.
Published: (2024)

Are We on the Right Way to Assessing LLM-as-a-Judge?
by: Feng, Yuanning, et al.
Published: (2025)

ProJudge: A Multi-Modal Multi-Discipline Benchmark and Instruction-Tuning Dataset for MLLM-based Process Judges
by: Ai, Jiaxin, et al.
Published: (2025)

MLLM-as-a-Judge for Image Safety without Human Labeling
by: Wang, Zhenting, et al.
Published: (2024)

VideoJudge: Bootstrapping Enables Scalable Supervision of MLLM-as-a-Judge for Video Understanding
by: Waheed, Abdul, et al.
Published: (2025)

Tracking and Segmenting Anything in Any Modality
by: Zhang, Tianlu, et al.
Published: (2025)

MM-JudgeBias: A Benchmark for Evaluating Compositional Biases in MLLM-as-a-Judge
by: Lee, Sua, et al.
Published: (2026)

JudgeLRM: Large Reasoning Models as a Judge
by: Chen, Nuo, et al.
Published: (2025)

Depth Anything with Any Prior
by: Wang, Zehan, et al.
Published: (2025)

Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge
by: Ye, Jiayi, et al.
Published: (2024)

MLLM-as-a-Judge Exhibits Model Preference Bias
by: Koyama, Shuitsu, et al.
Published: (2026)

MR. Judge: Multimodal Reasoner as a Judge
by: Pi, Renjie, et al.
Published: (2025)

TrustJudge: Inconsistencies of LLM-as-a-Judge and How to Alleviate Them
by: Wang, Yidong, et al.
Published: (2025)

Human-Aligned MLLM Judges for Fine-Grained Image Editing Evaluation: A Benchmark, Framework, and Analysis
by: Liu, Runzhou, et al.
Published: (2026)

FairJudge: An Adaptive, Debiased, and Consistent LLM-as-a-Judge
by: Yang, Bo, et al.
Published: (2026)

Are We on the Right Way for Assessing Document Retrieval-Augmented Generation?
by: Shen, Wenxuan, et al.
Published: (2025)

BadJudge: Backdoor Vulnerabilities of LLM-as-a-Judge
by: Tong, Terry, et al.
Published: (2025)

Any to Full: Prompting Depth Anything for Depth Completion in One Stage
by: Zhou, Zhiyuan, et al.
Published: (2026)

Paper2Web: Let's Make Your Paper Alive!
by: Chen, Yuhang, et al.
Published: (2025)

UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding Learning
by: Gu, Tiancheng, et al.
Published: (2025)

Judge as A Judge: Improving the Evaluation of Retrieval-Augmented Generation through the Judge-Consistency of Large Language Models
by: Liu, Shuliang, et al.
Published: (2025)

CPJ: Explainable Agricultural Pest Diagnosis via Caption-Prompt-Judge with LLM-Judged Refinement
by: Zhang, Wentao, et al.
Published: (2025)

Judge Before Answer: Can MLLM Discern the False Premise in Question?
by: Li, Jidong, et al.
Published: (2025)

SolarSAM: Building-scale Photovoltaic Potential Assessment Based on Segment Anything Model (SAM) and Remote Sensing for Emerging City
by: Wang, Guohao
Published: (2024)

Anything in Any Scene: Photorealistic Video Object Insertion
by: Bai, Chen, et al.
Published: (2024)

MLLM as a UI Judge: Benchmarking Multimodal LLMs for Predicting Human Perception of User Interfaces
by: Luera, Reuben A., et al.
Published: (2025)

JudgeRLVR: Judge First, Generate Second for Efficient Reasoning
by: Duo, Jiangshan, et al.
Published: (2026)

CyclicJudge: Mitigating Judge Bias Efficiently in LLM-based Evaluation
by: Zhu, Ziyi, et al.
Published: (2026)

SEAL: Can Saturated Benchmarks Be Revived by LLM-as-a-Meta-Judge?
by: Chen, Jiamin, et al.
Published: (2026)

SAM 2++: Tracking Anything at Any Granularity
by: Zhang, Jiaming, et al.
Published: (2025)

Motion Anything: Any to Motion Generation
by: Zhang, Zeyu, et al.
Published: (2025)

JudgeLM: Fine-tuned Large Language Models are Scalable Judges
by: Zhu, Lianghui, et al.
Published: (2023)

Assessing Judging Bias in Large Reasoning Models: An Empirical Study
by: Wang, Qian, et al.
Published: (2025)

Seeking and Updating with Live Visual Knowledge
by: Fu, Mingyang, et al.
Published: (2025)

Any2Any: Unified Arbitrary Modality Translation for Remote Sensing
by: Chen, Haoyang, et al.
Published: (2026)

Vision to Geometry: 3D Spatial Memory for Sequential Embodied MLLM Reasoning and Exploration
by: Cai, Zhongyi, et al.
Published: (2025)

Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges
by: Thakur, Aman Singh, et al.
Published: (2024)

Structurally Prune Anything: Any Architecture, Any Framework, Any Time
by: Wang, Xun, et al.
Published: (2024)

JudgeSense: A Benchmark for Prompt Sensitivity in LLM-as-a-Judge Systems
by: Bellibatlu, Rohith Reddy, et al.
Published: (2026)

Humans or LLMs as the Judge? A Study on Judgement Biases
by: Chen, Guiming Hardy, et al.
Published: (2024)