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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
The rapid advancement of Large Language Models (LLMs) necessitates robust and challenging benchmarks. Leaderboards like Chatbot Arena rank LLMs based on how well their responses align with human preferences. However, many tasks such as those related
Externí odkaz:
http://arxiv.org/abs/2406.08598
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
Since Labov's (1964) foundational work on the social stratification of language, linguistics has dedicated concerted efforts towards understanding the relationships between socio-demographic factors and language production and perception. Despite the
Externí odkaz:
http://arxiv.org/abs/2403.03874
Autor:
Plaza-del-Arco, Flor Miriam, Curry, Amanda Cercas, Curry, Alba, Abercrombie, Gavin, Hovy, Dirk
Large language models (LLMs) reflect societal norms and biases, especially about gender. While societal biases and stereotypes have been extensively researched in various NLP applications, there is a surprising gap for emotion analysis. However, emot
Externí odkaz:
http://arxiv.org/abs/2403.03121
Natural language processing research has begun to embrace the notion of annotator subjectivity, motivated by variations in labelling. This approach understands each annotator's view as valid, which can be highly suitable for tasks that embed subjecti
Externí odkaz:
http://arxiv.org/abs/2403.02268
Emotions are a central aspect of communication. Consequently, emotion analysis (EA) is a rapidly growing field in natural language processing (NLP). However, there is no consensus on scope, direction, or methods. In this paper, we conduct a thorough
Externí odkaz:
http://arxiv.org/abs/2403.01222
Large language models (LLMs) offer a range of new possibilities, including adapting the text to different audiences and their reading needs. But how well do they adapt? We evaluate the readability of answers generated by four state-of-the-art LLMs (c
Externí odkaz:
http://arxiv.org/abs/2312.02065
Automated dialogue or conversational systems are anthropomorphised by developers and personified by users. While a degree of anthropomorphism may be inevitable due to the choice of medium, conscious and unconscious design choices can guide users to p
Externí odkaz:
http://arxiv.org/abs/2305.09800
Autor:
Curry, Alba, Curry, Amanda Cercas
Emotions are an integral part of human cognition and they guide not only our understanding of the world but also our actions within it. As such, whether we soothe or flame an emotion is not inconsequential. Recent work in conversational AI has focuse
Externí odkaz:
http://arxiv.org/abs/2212.10983