Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Hovy, Dirk"'
Autor:
Sinelnik, Antonina, Hovy, Dirk
Any report frames issues to favor a particular interpretation by highlighting or excluding certain aspects of a story. Despite the widespread use of framing in disinformation, framing properties and detection methods remain underexplored outside the
Externí odkaz:
http://arxiv.org/abs/2408.13651
As diverse linguistic communities and users adopt large language models (LLMs), assessing their safety across languages becomes critical. Despite ongoing efforts to make LLMs safe, they can still be made to behave unsafely with jailbreaking, a techni
Externí odkaz:
http://arxiv.org/abs/2408.04522
Emotions play important epistemological and cognitive roles in our lives, revealing our values and guiding our actions. Previous work has shown that LLMs display biases in emotion attribution along gender lines. However, unlike gender, which says lit
Externí odkaz:
http://arxiv.org/abs/2407.06908
Using large language models (LLMs) for educational applications like dialogue-based teaching is a hot topic. Effective teaching, however, requires teachers to adapt the difficulty of content and explanations to the education level of their students.
Externí odkaz:
http://arxiv.org/abs/2405.09482
Autor:
Kuznetsov, Ilia, Afzal, Osama Mohammed, Dercksen, Koen, Dycke, Nils, Goldberg, Alexander, Hope, Tom, Hovy, Dirk, Kummerfeld, Jonathan K., Lauscher, Anne, Leyton-Brown, Kevin, Lu, Sheng, Mausam, Mieskes, Margot, Névéol, Aurélie, Pruthi, Danish, Qu, Lizhen, Schwartz, Roy, Smith, Noah A., Solorio, Thamar, Wang, Jingyan, Zhu, Xiaodan, Rogers, Anna, Shah, Nihar B., Gurevych, Iryna
The number of scientific articles produced every year is growing rapidly. Providing quality control over them is crucial for scientists and, ultimately, for the public good. In modern science, this process is largely delegated to peer review -- a dis
Externí odkaz:
http://arxiv.org/abs/2405.06563
Language technologies have made enormous progress, especially with the introduction of large language models (LLMs). On traditional tasks such as machine translation and sentiment analysis, these models perform at near-human level. These advances can
Externí odkaz:
http://arxiv.org/abs/2405.02411
Autor:
Rooein, Donya, Hovy, Dirk
Open conversations are one of the most engaging forms of teaching. However, creating those conversations in educational software is a complex endeavor, especially if we want to address the needs of different audiences. While language models hold grea
Externí odkaz:
http://arxiv.org/abs/2404.10475
The last two years have seen a rapid growth in concerns around the safety of large language models (LLMs). Researchers and practitioners have met these concerns by introducing an abundance of new datasets for evaluating and improving LLM safety. Howe
Externí odkaz:
http://arxiv.org/abs/2404.05399
Social scientists increasingly use demographically stratified social media data to study the attitudes, beliefs, and behavior of the general public. To facilitate such analyses, we construct, validate, and release publicly the representative DADIT da
Externí odkaz:
http://arxiv.org/abs/2403.05700
Since the foundational work of William Labov on the social stratification of language (Labov, 1964), linguistics has made concentrated efforts to explore the links between sociodemographic characteristics and language production and perception. But w
Externí odkaz:
http://arxiv.org/abs/2403.04445