3 papers
cs.CL2026
Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMs
Sara Papi, Javier Garcia Gilabert, Zachary Hopton +8
As Large Language Models (LLMs) expand beyond text, integrating speech as a native modality has given rise to SpeechLLMs, which directly process spoken language and enable speech-t…
cs.CL2026
Do LLMs Truly Benefit from Longer Context in Automatic Post-Editing?
Ahrii Kim, Seong-heum Kim
Automatic post-editing (APE) aims to refine machine translations by correcting residual errors. Although recent large language models (LLMs) demonstrate strong translation capabili…
cs.CL2026
Tokenization and Morphological Fidelity in Uralic NLP: A Cross-Lingual Evaluation
Nuo Xu, Ahrii Kim
Subword tokenization critically affects Natural Language Processing (NLP) performance, yet its behavior in morphologically rich and low-resource language families remains under-exp…