most citedJudge Anything: MLLM as a Judge Across Any Modality

1 citations · 1 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CL2025

Are We on the Right Way to Assessing LLM-as-a-Judge?

Yuanning Feng, Sinan Wang, Zhengxiang Cheng +2

LLM-as-a-Judge has been widely adopted as an evaluation method and served as supervised rewards in model training. However, existing benchmarks for LLM-as-a-Judge are mainly relyin…

cs.CL2025

Paper2Web: Let's Make Your Paper Alive!

Yuhang Chen, Tianpeng Lv, Siyi Zhang +4

Academic project websites can more effectively disseminate research when they clearly present core content and enable intuitive navigation and interaction. However, current approac…

cs.CV2025

Reinforced Visual Perception with Tools

Zetong Zhou, Dongping Chen, Zixian Ma +6

Visual reasoning, a cornerstone of human intelligence, encompasses complex perceptual and logical processes essential for solving diverse visual problems. While advances in compute…

cs.CL2025

Are We on the Right Way for Assessing Document Retrieval-Augmented Generation?

Wenxuan Shen, Mingjia Wang, Yaochen Wang +4

Retrieval-Augmented Generation (RAG) systems using Multimodal Large Language Models (MLLMs) show great promise for complex document understanding, yet their development is critical…

cs.CL2025

code_transformed: The Influence of Large Language Models on Code

Yuliang Xu, Siming Huang, Mingmeng Geng +3

Coding remains one of the most fundamental modes of interaction between humans and machines. With the rapid advancement of Large Language Models (LLMs), code generation capabilitie…

cs.CV2025

Seeking and Updating with Live Visual Knowledge

Mingyang Fu, Yuyang Peng, Dongping Chen +6

The visual world around us constantly evolves, from real-time news and social media trends to global infrastructure changes visible through satellite imagery and augmented reality…