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Seonil Son

2 accepted papers

2025

Arena-lite: Efficient and Reliable Large Language Model Evaluation via Tournament-Based Direct Comparisons

EMNLP 2025

As Large Language Models (LLMs) expand across domains, LLM judges have become essential for systems evaluation. Current benchmarks typically compare system outputs against baselines.This baseline-mediated approach, though convenient, yields lower reliability than direct comparison between systems.We

2024

Align-to-Distill: Trainable Attention Alignment for Knowledge Distillation in Neural Machine Translation

COLING 2024main

The advent of scalable deep models and large datasets has improved the performance of Neural Machine Translation (NMT). Knowledge Distillation (KD) enhances efficiency by transferring knowledge from a teacher model to a more compact student model. However, KD approaches to Transformer architecture o…