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pro vyhledávání: '"Dunagan, Lavinia"'
Autor:
Shu, Bangzhao, Zhang, Lechen, Choi, Minje, Dunagan, Lavinia, Logeswaran, Lajanugen, Lee, Moontae, Card, Dallas, Jurgens, David
The versatility of Large Language Models (LLMs) on natural language understanding tasks has made them popular for research in social sciences. To properly understand the properties and innate personas of LLMs, researchers have performed studies that
Externí odkaz:
http://arxiv.org/abs/2311.09718
Autor:
Ananthasubramaniam, Aparna, Chen, Hong, Yan, Jason, Alkiek, Kenan, Pei, Jiaxin, Seth, Agrima, Dunagan, Lavinia, Choi, Minje, Litterer, Benjamin, Jurgens, David
Linguistic style matching (LSM) in conversations can be reflective of several aspects of social influence such as power or persuasion. However, how LSM relates to the outcomes of online communication on platforms such as Reddit is an unknown question
Externí odkaz:
http://arxiv.org/abs/2307.02758
Autor:
Kasai, Jungo, Sakaguchi, Keisuke, Bras, Ronan Le, Dunagan, Lavinia, Morrison, Jacob, Fabbri, Alexander R., Choi, Yejin, Smith, Noah A.
Natural language processing researchers have identified limitations of evaluation methodology for generation tasks, with new questions raised about the validity of automatic metrics and of crowdworker judgments. Meanwhile, efforts to improve generati
Externí odkaz:
http://arxiv.org/abs/2112.04139
Autor:
Kasai, Jungo, Sakaguchi, Keisuke, Dunagan, Lavinia, Morrison, Jacob, Bras, Ronan Le, Choi, Yejin, Smith, Noah A.
We establish THumB, a rubric-based human evaluation protocol for image captioning models. Our scoring rubrics and their definitions are carefully developed based on machine- and human-generated captions on the MSCOCO dataset. Each caption is evaluate
Externí odkaz:
http://arxiv.org/abs/2111.08940