3 papers
cs.SD2026
ParaPairAudioBench: Paralinguistic Pairwise Audio Benchmark for LALM-as-a-Judge
Jisu Jeon, Seungyeon Jwa, Joosung Lee +6
Large Audio-Language Models (LALMs) have been widely used as judge models for the automatic evaluation of generated speech. However, prior approaches predominantly focus on holisti…
cs.CL2026
Benchmarks Are Not That Out of Distribution: Word Overlap Predicts Performance
Woojin Chung, Jeonghoon Kim
Understanding what constitutes high-quality pre-training data remains a central question in language model training. In this work, we investigate whether benchmark performance is p…
cs.CL2025
Exploiting Vocabulary Frequency Imbalance in Language Model Pre-training
Woojin Chung, Jeonghoon Kim
Large language models are trained with tokenizers, and the resulting token distribution is highly imbalanced: a few words dominate the stream while most occur rarely. Recent practi…