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cs.CL2025
SEER: The Span-based Emotion Evidence Retrieval Benchmark
Aneesha Sampath, Oya Aran, Emily Mower Provost
We introduce the SEER (Span-based Emotion Evidence Retrieval) Benchmark to test Large Language Models' (LLMs) ability to identify the specific spans of text that express emotion. U…
cs.CL2025
Contrastive Distillation of Emotion Knowledge from LLMs for Zero-Shot Emotion Recognition
Minxue Niu, Emily Mower Provost
The ability to handle various emotion labels without dedicated training is crucial for building adaptable Emotion Recognition (ER) systems. Conventional ER models rely on training…
cs.CL2024
Rethinking Emotion Annotations in the Era of Large Language Models
Minxue Niu, Yara El-Tawil, Amrit Romana +1
Modern affective computing systems rely heavily on datasets with human-annotated emotion labels, for training and evaluation. However, human annotations are expensive to obtain, se…