Recent advances in speech large language models (speech LLMs) have enabled seamless spoken interactions, but these systems still struggle with complex reasoning tasks. Previously, chain-of-thought (Co...

Despite over a decade of research, gender bias in machine translation remains a complex challenge with no simple fix. A review of 133 studies highlights both promising trends and persistent gaps, such as narrow technical focus, English-centric approaches, and a lack of real-world grounding. These findings call for future research to move beyond past limitations and to be more user-centric, culturally diverse, and personalized.