activity
20222026
most citedEmotion Analysis in NLP: Trends, Gaps and Roadmap for Future Directions

9 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CY2026

Affective AI Safety: The Missing Piece in LLM Safety

Carolin Ifländer, Alba Curry, Flor Miriam Plaza-del-Arco +1

AI safety research has focused predominantly on epistemic and physical harms (e.g., misinformation, bias, system reliability) while the risks that arise from AI systems' engagement…

cs.CL2024

Divine LLaMAs: Bias, Stereotypes, Stigmatization, and Emotion Representation of Religion in Large Language Models

Flor Miriam Plaza-del-Arco, Amanda Cercas Curry, Susanna Paoli +2

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…

cs.CL2024★ 9 cited

Emotion Analysis in NLP: Trends, Gaps and Roadmap for Future Directions

Flor Miriam Plaza-del-Arco, Alba Curry, Amanda Cercas Curry +1

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…

cs.CL2024★ 4 cited

Angry Men, Sad Women: Large Language Models Reflect Gendered Stereotypes in Emotion Attribution

Flor Miriam Plaza-del-Arco, Amanda Cercas Curry, Alba Curry +2

Large language models (LLMs) reflect societal norms and biases, especially about gender. While societal biases and stereotypes have been extensively researched in various NLP appli…

cs.CL2022★ 2 cited

Computer says "No": The Case Against Empathetic Conversational AI

Alba Curry, Amanda Cercas Curry

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 emoti…