A Comprehensive Evaluation of Large Language Models on Benchmark Biomedical Text Processing Tasks

1 code implementation • 6 Oct 2023 • Israt Jahan, Md Tahmid Rahman Laskar, Chun Peng, Jimmy Huang

While their performance is still quite poor in comparison to the biomedical models that were fine-tuned on large training sets, our findings demonstrate that LLMs have the potential to be a valuable tool for various biomedical tasks that lack large annotated data.

Evaluation of ChatGPT on Biomedical Tasks: A Zero-Shot Comparison with Fine-Tuned Generative Transformers

no code implementations • 7 Jun 2023 • Israt Jahan, Md Tahmid Rahman Laskar, Chun Peng, Jimmy Huang

ChatGPT is a large language model developed by OpenAI.

Document Classification Language Modelling +3

CQSumDP: A ChatGPT-Annotated Resource for Query-Focused Abstractive Summarization Based on Debatepedia

no code implementations • 31 Mar 2023 • Md Tahmid Rahman Laskar, Mizanur Rahman, Israt Jahan, Enamul Hoque, Jimmy Huang

Debatepedia is a publicly available dataset consisting of arguments and counter-arguments on controversial topics that has been widely used for the single-document query-focused abstractive summarization task in recent years.

Abstractive Text Summarization Text Generation

A Proposed Bi-LSTM Method to Fake News Detection

no code implementations • 15 Jun 2022 • Taminul Islam, MD Alamin Hosen, Akhi Mony, MD Touhid Hasan, Israt Jahan, Arindom Kundu

Recent years have seen an explosion in social media usage, allowing people to connect with others.

Fake News Detection