9 citations · 11 across the 5 of their papers we have counts for
5 papers
Investigating Hallucination in Conversations for Low Resource Languages
Amit Das, Md. Najib Hasan, Souvika Sarkar +7
Large Language Models (LLMs) have demonstrated remarkable proficiency in generating text that closely resemble human writing. However, they often generate factually incorrect state…
LLM for Complex Reasoning Task: An Exploratory Study in Fermi Problems
Zishuo Liu, Carlos Rabat Villarreal, Mostafa Rahgouy +4
Fermi Problems (FPs) are mathematical reasoning tasks that require human-like logic and numerical reasoning. Unlike other reasoning questions, FPs often involve real-world impracti…
Towards Effective Authorship Attribution: Integrating Class-Incremental Learning
Mostafa Rahgouy, Hamed Babaei Giglou, Mehnaz Tabassum +5
AA is the process of attributing an unidentified document to its true author from a predefined group of known candidates, each possessing multiple samples. The nature of AA necessi…
Investigating Annotator Bias in Large Language Models for Hate Speech Detection
Amit Das, Zheng Zhang, Najib Hasan +12
Data annotation, the practice of assigning descriptive labels to raw data, is pivotal in optimizing the performance of machine learning models. However, it is a resource-intensive…
OffensiveLang: A Community Based Implicit Offensive Language Dataset
Amit Das, Mostafa Rahgouy, Dongji Feng +10
The widespread presence of hateful languages on social media has resulted in adverse effects on societal well-being. As a result, addressing this issue with high priority has becom…