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S. Rahman

19 papers hereh-index 6125 citations35 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author6
  • last author13

Across the 19 of 19 papers where every author was matched, so the position is known.

fields
  • cs.CV10
  • cs.LG5
  • cs.CL3
  • cs.IR1
same name
  • S. Rahman — 2 papers, h 22
  • S. Rahman — 2 papers, h 3
  • S. Rahman — 2 papers, h 3
  • S. Rahman — 1 paper, h 23
  • S. Rahman — 1 paper, h 0
  • S. Rahman — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2025

LAET: A Layer-wise Adaptive Ensemble Tuning Framework for Pretrained Language Models

Jawad Ibn Ahad, Muhammad Rafsan Kabir, Robin Krambroeckers +3

Natural Language Processing (NLP) has transformed the financial industry, enabling advancements in areas such as textual analysis, risk management, and forecasting. Large language…

cs.CL2024

BanglaDialecto: An End-to-End AI-Powered Regional Speech Standardization

Md. Nazmus Sadat Samin, Jawad Ibn Ahad, Tanjila Ahmed Medha +4

This study focuses on recognizing Bangladeshi dialects and converting diverse Bengali accents into standardized formal Bengali speech. Dialects, often referred to as regional langu…

cs.CL2024

Empowering Meta-Analysis: Leveraging Large Language Models for Scientific Synthesis

Jawad Ibn Ahad, Rafeed Mohammad Sultan, Abraham Kaikobad +4

This study investigates the automation of meta-analysis in scientific documents using large language models (LLMs). Meta-analysis is a robust statistical method that synthesizes th…

cs.CL2024

Beyond Labels: Aligning Large Language Models with Human-like Reasoning

Muhammad Rafsan Kabir, Rafeed Mohammad Sultan, Ihsanul Haque Asif +5

Aligning large language models (LLMs) with a human reasoning approach ensures that LLMs produce morally correct and human-like decisions. Ethical concerns are raised because curren…

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