39 citations · 122 across the 46 of their papers we have counts for
11 papers · 1 filter
Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition
Tariq Alhindi, Smaranda Muresan, Preslav Nakov
Recognizing fallacies is crucial for ensuring the quality and validity of arguments across various domains. However, computational fallacy recognition faces challenges due to the d…
Identifying Self-Disclosures of Use, Misuse and Addiction in Community-based Social Media Posts
Chenghao Yang, Tuhin Chakrabarty, Karli R Hochstatter +3
In the last decade, the United States has lost more than 500,000 people from an overdose involving prescription and illicit opioids making it a national public health emergency (US…
Learning to Follow Object-Centric Image Editing Instructions Faithfully
Tuhin Chakrabarty, Kanishk Singh, Arkadiy Saakyan +1
Natural language instructions are a powerful interface for editing the outputs of text-to-image diffusion models. However, several challenges need to be addressed: 1) underspecific…
NormDial: A Comparable Bilingual Synthetic Dialog Dataset for Modeling Social Norm Adherence and Violation
Oliver Li, Mallika Subramanian, Arkadiy Saakyan +2
Social norms fundamentally shape interpersonal communication. We present NormDial, a high-quality dyadic dialogue dataset with turn-by-turn annotations of social norm adherences an…
Art or Artifice? Large Language Models and the False Promise of Creativity
Tuhin Chakrabarty, Philippe Laban, Divyansh Agarwal +2
Researchers have argued that large language models (LLMs) exhibit high-quality writing capabilities from blogs to stories. However, evaluating objectively the creativity of a piece…
Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers
Tuhin Chakrabarty, Vishakh Padmakumar, Faeze Brahman +1
The development of large language models (LLMs) capable of following instructions and engaging in conversational interactions sparked increased interest in their utilization across…