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Domain Title Authors arXiv ID Submission Date URL Summary
Healthcare Extrinsically-Focused Evaluation of Omissions in Medical Summarization Elliot Schumacher, et al. 2311.08303v1 2023-11-14 Link This paper introduces a novel evaluation framework for medical summarization tasks, focusing on the significance of omissions and their impact on clinical decision-making.
Education MC^2: A Multilingual Corpus of Minority Languages in China Chen Zhang, et al. 2311.08348v1 2023-11-14 Link The authors present a new multilingual corpus that includes several minority languages in China, aiming to facilitate linguistic research and the development of language technologies for these underrepresented languages.
Robotics Large Language Models for Robotics: A Survey Fanlong Zeng, et al. 2311.07226v1 2023-11-13 Link This survey paper reviews the current state of research on the integration of large language models in robotics, discussing potential applications, challenges, and future directions.
General AI On-the-Fly Fusion of Large Language Models and Machine Translation Hieu Hoang, et al. 2311.08306v1 2023-11-14 Link The paper proposes a novel approach to dynamically combine large language models with machine translation models to improve translation quality without extensive retraining.
Ethics/Safety SimpleSafetyTests: a Test Suite for Identifying Critical Safety Risks in Large Language Models Bertie Vidgen, et al. 2311.08370v1 2023-11-14 Link The researchers introduce a comprehensive test suite designed to identify and mitigate safety risks in large language models, with a focus on ethical and societal implications.
Natural Language Processing How Well Do Large Language Models Understand Syntax? An Evaluation by Asking Natural Language Questions Houquan Zhou, et al. 2311.08287v1 2023-11-14 Link This study evaluates the syntactic understanding of large language models by designing a series of natural language questions that target specific syntactic phenomena.