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20232026
most citedA Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets

13 citations · 20 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Training Therapeutic Judges and Multi-Agent Systems for Human-Aligned Mental Health Support

Mizanur Rahman, Abeer Badawi, Elahe Rahimi +4

Large language models show promise for mental health support, yet therapeutic quality improves only when evaluation functions as an actionable control signal rather than a passive…

cs.CV2025

Evolution of ReID: From Early Methods to LLM Integration

Amran Bhuiyan, Mizanur Rahman, Md Tahmid Rahman Laskar +2

Person re-identification (ReID) has evolved from handcrafted feature-based methods to deep learning approaches and, more recently, to models incorporating large language models (LL…

cs.CL2024★ 2 cited

A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations

Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari +10

Large Language Models (LLMs) have recently gained significant attention due to their remarkable capabilities in performing diverse tasks across various domains. However, a thorough…

cs.CL2023★ 13 cited

A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets

Md Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman +3

The development of large language models (LLMs) such as ChatGPT has brought a lot of attention recently. However, their evaluation in the benchmark academic datasets remains under-…

cs.CL2023★ 5 cited

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

Md Tahmid Rahman Laskar, Mizanur Rahman, Israt Jahan +2

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 ab…