5 papers
Emotion Entanglement and Bayesian Inference for Multi-Dimensional Emotion Understanding
Hemanth Kotaprolu, Kishan Maharaj, Raey Zhao +2
Understanding emotions in natural language is inherently a multi-dimensional reasoning problem, where multiple affective signals interact through context, interpersonal relations,…
Understand the Implication: Learning to Think for Pragmatic Understanding
Settaluri Lakshmi Sravanthi, Kishan Maharaj, Sravani Gunnu +2
Pragmatics, the ability to infer meaning beyond literal interpretation, is crucial for social cognition and communication. While LLMs have been benchmarked for their pragmatic unde…
ETF: An Entity Tracing Framework for Hallucination Detection in Code Summaries
Kishan Maharaj, Vitobha Munigala, Srikanth G. Tamilselvam +5
Recent advancements in large language models (LLMs) have significantly enhanced their ability to understand both natural language and code, driving their use in tasks like natural…
Mental Disorder Classification via Temporal Representation of Text
Raja Kumar, Kishan Maharaj, Ashita Saxena +1
Mental disorders pose a global challenge, aggravated by the shortage of qualified mental health professionals. Mental disorder prediction from social media posts by current LLMs is…
Striking a Balance between Classical and Deep Learning Approaches in Natural Language Processing Pedagogy
Aditya Joshi, Jake Renzella, Pushpak Bhattacharyya +2
While deep learning approaches represent the state-of-the-art of natural language processing (NLP) today, classical algorithms and approaches still find a place in NLP textbooks an…