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cs.CL2026
Mitigating Scoring Bias in LLM-as-a-Judge via Random Number Generation
Yuma Asato, Kiyoaki Shirai, Natthawut Kertkeidkachorn
Large Language Models (LLMs) are often used as evaluators of text quality, known as LLM-as-a-Judge, which can outperform conventional automatic evaluation metrics that rely on refe…
cs.CL2026
Attention-Guided Layer Selection for Contrastive Decoding in Large Language Models
Yusuke Sakai, Natthawut Kertkeidkachorn, Kiyoaki Shirai
Contrastive decoding methods such as DoLa improve the factuality of Large Language Models (LLMs) by contrasting the output distributions of mature and premature layers. However, Do…
cs.CL2026
Improving Interpretability of Lexical Semantic Change with Neurobiological Features
Kohei Oda, Hiroya Takamura, Kiyoaki Shirai +1
Lexical Semantic Change (LSC) is the phenomenon in which the meaning of a word change over time. Most studies on LSC focus on improving the performance of estimating the degree of…