5 papers
Prompt-Based Clarity Evaluation and Topic Detection in Political Question Answering
Lavanya Prahallad, Sai Utkarsh Choudarypally, Pragna Prahallad +1
Automatic evaluation of large language model (LLM) responses requires not only factual correctness but also clarity, particularly in political question-answering. While recent data…
Analyzing Biases in Political Dialogue: Tagging U.S. Presidential Debates with an Extended DAMSL Framework
Lavanya Prahallad, Radhika Mamidi
We present a critical discourse analysis of the 2024 U.S. presidential debates, examining Donald Trump's rhetorical strategies in his interactions with Joe Biden and Kamala Harris.…
Enhancing Granular Sentiment Classification with Chain-of-Thought Prompting in Large Language Models
Vihaan Miriyala, Smrithi Bukkapatnam, Lavanya Prahallad
We explore the use of Chain-of-Thought (CoT) prompting with large language models (LLMs) to improve the accuracy of granular sentiment categorization in app store reviews. Traditio…
Comparison of Autoencoders for tokenization of ASL datasets
Vouk Praun-Petrovic, Aadhvika Koundinya, Lavanya Prahallad
Generative AI, powered by large language models (LLMs), has revolutionized applications across text, audio, images, and video. This study focuses on developing and evaluating encod…
Significance of Chain of Thought in Gender Bias Mitigation for English-Dravidian Machine Translation
Lavanya Prahallad, Radhika Mamidi
Gender bias in machine translation (MT) sys- tems poses a significant challenge to achieving accurate and inclusive translations. This paper examines gender bias in machine transla…