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cs.CL2026
Mixture-of-Experts with Intermediate CTC Supervision for Accented Speech Recognition
Wonjun Lee, Hyounghun Kim, Gary Geunbae Lee
Accented speech remains a persistent challenge for automatic speech recognition (ASR), as most models are trained on data dominated by a few high-resource English varieties, leadin…
cs.CL2025
Why Do Multilingual Reasoning Gaps Emerge in Reasoning Language Models?
Deokhyung Kang, Seonjeong Hwang, Daehui Kim +2
Reasoning language models (RLMs) achieve strong performance on complex reasoning tasks, yet they still exhibit a multilingual reasoning gap, performing better in high-resource lang…
cs.CL2025
KoBLEX: Open Legal Question Answering with Multi-hop Reasoning
Jihyung Lee, Daehui Kim, Seonjeong Hwang +2
Large Language Models (LLM) have achieved remarkable performances in general domains and are now extending into the expert domain of law. Several benchmarks have been proposed to e…