3 papers
cs.CL2024
Sharif-STR at SemEval-2024 Task 1: Transformer as a Regression Model for Fine-Grained Scoring of Textual Semantic Relations
Seyedeh Fatemeh Ebrahimi, Karim Akhavan Azari, Amirmasoud Iravani +3
Semantic Textual Relatedness holds significant relevance in Natural Language Processing, finding applications across various domains. Traditionally, approaches to STR have relied o…
cs.CL2024
Sharif-MGTD at SemEval-2024 Task 8: A Transformer-Based Approach to Detect Machine Generated Text
Seyedeh Fatemeh Ebrahimi, Karim Akhavan Azari, Amirmasoud Iravani +4
Detecting Machine-Generated Text (MGT) has emerged as a significant area of study within Natural Language Processing. While language models generate text, they often leave discerni…
cs.CL2024
SLPL SHROOM at SemEval2024 Task 06: A comprehensive study on models ability to detect hallucination
Pouya Fallah, Soroush Gooran, Mohammad Jafarinasab +5
Language models, particularly generative models, are susceptible to hallucinations, generating outputs that contradict factual knowledge or the source text. This study explores met…