3 papers
cs.CL2026
Sakura at BEA 2026 Shared Task 1: What Makes Vocabulary Difficult?
Adam Nohejl, Xuanxin Wu, Yusuke Ide +3
We describe two types of models for vocabulary difficulty prediction: a high-accuracy black-box model, which achieved the top shared task result in the open track, and an explainab…
cs.CL2026
Reasoning Model Is Superior LLM-Judge, Yet Suffers from Biases
Hui Huang, Xuanxin Wu, Muyun Yang +1
This paper presents the first systematic comparison investigating whether Large Reasoning Models (LRMs) are superior judges to non-reasoning LLMs. Our empirical analysis yields fou…
cs.CL2025
Policy-based Sentence Simplification: Replacing Parallel Corpora with LLM-as-a-Judge
Xuanxin Wu, Yuki Arase, Masaaki Nagata
Sentence simplification aims to modify a sentence to make it easier to read and understand while preserving the meaning. Different applications require distinct simplification poli…