4 papers
Gender Bias in MT for a Genderless Language: New Benchmarks for Basque
Amaia Murillo, Olatz-Perez-de-Viñaspre, Naiara Perez
Large language models (LLMs) and machine translation (MT) systems are increasingly used in our daily lives, but their outputs can reproduce gender bias present in the training data…
Can Speech LLMs Think while Listening?
Yi-Jen Shih, Desh Raj, Chunyang Wu +6
Recent advances in speech large language models (speech LLMs) have enabled seamless spoken interactions, but these systems still struggle with complex reasoning tasks. Previously,…
Frozen Large Language Models Can Perceive Paralinguistic Aspects of Speech
Wonjune Kang, Junteng Jia, Chunyang Wu +8
This work studies the capabilities of a large language model (LLM) to understand paralinguistic aspects of speech without fine-tuning its weights. We utilize an end-to-end system w…
Efficient Streaming LLM for Speech Recognition
Junteng Jia, Gil Keren, Wei Zhou +6
Recent works have shown that prompting large language models with audio encodings can unlock speech recognition capabilities. However, existing techniques do not scale efficiently,…