78 citations · 160 across the 50 of their papers we have counts for
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cs.AI2026
Understanding LLM Evaluator Behavior: A Structured Multi-Evaluator Framework for Merchant Risk Assessment
Liang Wang, Junpeng Wang, Chin-chia Michael Yeh +6
Large Language Models (LLMs) are increasingly used as evaluators of reasoning quality, yet their reliability and bias in payments-risk settings remain poorly understood. We introdu…
cs.AI2023
PDT: Pretrained Dual Transformers for Time-aware Bipartite Graphs
Xin Dai, Yujie Fan, Zhongfang Zhuang +7
Pre-training on large models is prevalent and emerging with the ever-growing user-generated content in many machine learning application categories. It has been recognized that lea…