55 citations · 111 across the 21 of their papers we have counts for
37 papers · 1 filter
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.…
Mast Kalandar at SemEval-2024 Task 8: On the Trail of Textual Origins: RoBERTa-BiLSTM Approach to Detect AI-Generated Text
Jainit Sushil Bafna, Hardik Mittal, Suyash Sethia +2
Large Language Models (LLMs) have showcased impressive abilities in generating fluent responses to diverse user queries. However, concerns regarding the potential misuse of such te…
Zero-Shot Multi-task Hallucination Detection
Patanjali Bhamidipati, Advaith Malladi, Manish Shrivastava +1
In recent studies, the extensive utilization of large language models has underscored the importance of robust evaluation methodologies for assessing text generation quality and re…
SemEval-2024 Task 8: Weighted Layer Averaging RoBERTa for Black-Box Machine-Generated Text Detection
Ayan Datta, Aryan Chandramania, Radhika Mamidi
This document contains the details of the authors' submission to the proceedings of SemEval 2024's Task 8: Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated…
Using Selective Masking as a Bridge between Pre-training and Fine-tuning
Tanish Lad, Himanshu Maheshwari, Shreyas Kottukkal +1
Pre-training a language model and then fine-tuning it for downstream tasks has demonstrated state-of-the-art results for various NLP tasks. Pre-training is usually independent of t…
Multi-Task Text Classification using Graph Convolutional Networks for Large-Scale Low Resource Language
Mounika Marreddy, Subba Reddy Oota, Lakshmi Sireesha Vakada +2
Graph Convolutional Networks (GCN) have achieved state-of-art results on single text classification tasks like sentiment analysis, emotion detection, etc. However, the performance…