1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2026
Exploring the Effects of Alignment on Numerical Bias in Large Language Models
Ayako Sato, Hwichan Kim, Zhousi Chen +2
"LLM-as-a-judge," which utilizes large language models (LLMs) as evaluators, has proven effective in many evaluation tasks. However, evaluator LLMs exhibit numerical bias, a phenom…
cs.CL2024★ 1 cited
A Single Linear Layer Yields Task-Adapted Low-Rank Matrices
Hwichan Kim, Shota Sasaki, Sho Hoshino +1
Low-Rank Adaptation (LoRA) is a widely used Parameter-Efficient Fine-Tuning (PEFT) method that updates an initial weight matrix with a delta matrix consisted by two low-…