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cs.CL2025
EmoGist: Efficient In-Context Learning for Visual Emotion Understanding
Ronald Seoh, Dan Goldwasser
In this paper, we introduce EmoGist, a training-free, in-context learning method for performing visual emotion classification with LVLMs. The key intuition of our approach is that…
cs.CL2021
Open Aspect Target Sentiment Classification with Natural Language Prompts
Ronald Seoh, Ian Birle, Mrinal Tak +3
For many business applications, we often seek to analyze sentiments associated with any arbitrary aspects of commercial products, despite having a very limited amount of labels or…