most citedMulti-Agent-as-Judge: Aligning LLM-Agent-Based Automated Evaluation with Multi-Dimensional Human Evaluation

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

collaborators

5 papers

cs.LG2026

MASKerade: Token-Routed Mask Experts for Dense-to-MoE Upcycling

Mingyuan Zhang, Yue Bai, Zhongruo Wang +5

Sparsely activated Mixture-of-Experts (MoE) models increase model capacity without a proportional increase in per-token computation. Dense-to-MoE upcycling reuses pretrained dense…

cs.LG2026

SCI-Defense: Detecting Persuasion-Structured Manipulation of LLM-Based Ranking in Generative Engines

Xucheng Yu, Haibo Jin, Huimin Zeng +1

Generative engine optimization (GEO) has reshaped how sellers compete for visibility in LLM-generated rankings. By embedding persuasive arguments in the content they control, selle…

cs.CV2026

Ref-Adv: Exploring MLLM Visual Reasoning in Referring Expression Tasks

Qihua Dong, Kuo Yang, Lin Ju +6

Referring Expression Comprehension (REC) links language to region level visual perception. Standard benchmarks (RefCOCO, RefCOCO+, RefCOCOg) have progressed rapidly with multimodal…

cs.CY2025

See, Think, Act: Online Shopper Behavior Simulation with VLM Agents

Yimeng Zhang, Jiri Gesi, Ran Xue +10

LLMs have recently demonstrated strong potential in simulating online shopper behavior. Prior work has improved action prediction by applying SFT on action traces with LLM-generate…

cs.CL2025★ 1 cited

Multi-Agent-as-Judge: Aligning LLM-Agent-Based Automated Evaluation with Multi-Dimensional Human Evaluation

Jiaju Chen, Yuxuan Lu, Xiaojie Wang +6

Nearly all human work is collaborative; thus, the evaluation of real-world NLP applications often requires multiple dimensions that align with diverse human perspectives. As real h…