output
20042025
most citedUnmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements and Challenges

612 citations

Showing cs.CLShow all

6 papers · 1 filter

cs.CL2025★ 3 cited

Mitigating hallucinations in healthcare LLMs with granular fact-checking and domain-specific adaptation

Musarrat Zeba, Abdullah Al Mamun, Kishoar Jahan Tithee +8

In healthcare, it is essential for any Large Language Model (LLM)-generated output to be reliable and accurate, particularly in cases involving decision-making and patient safety.…

cs.CL2025

Generative Artificial Intelligence in Bioinformatics: A Systematic Review of Models, Applications, and Methodological Advances

Wasimul Karim, Riasad Alvi, Sayeem Been Zaman +7

Generative artificial intelligence (GenAI) is transforming bioinformatics by advancing genomics, proteomics, transcriptomics, structural biology, and drug discovery. Following the…

cs.CL2025★ 24 cited

Hallucination to Truth: A Review of Fact-Checking and Factuality Evaluation in Large Language Models

Subhey Sadi Rahman, Md. Adnanul Islam, Md. Mahbub Alam +5

Large Language Models (LLMs) are trained on vast and diverse internet corpora that often include inaccurate or misleading content. Consequently, LLMs can generate misinformation, m…

cs.CL2025★ 36 cited

From Language to Action: A Review of Large Language Models as Autonomous Agents and Tool Users

Sadia Sultana Chowa, Riasad Alvi, Subhey Sadi Rahman +5

The pursuit of human-level artificial intelligence (AI) has significantly advanced the development of autonomous agents and Large Language Models (LLMs). LLMs are now widely utiliz…

cs.CL2021★ 2 cited

Question-Aware Memory Network for Multi-hop Question Answering in Human-Robot Interaction

Xinmeng Li, Mamoun Alazab, Qian Li +2

Knowledge graph question answering is an important technology in intelligent human-robot interaction, which aims at automatically giving answer to human natural language question w…

cs.CL2020

Enabling Interactive Transcription in an Indigenous Community

Éric Le Ferrand, Steven Bird, Laurent Besacier

We propose a novel transcription workflow which combines spoken term detection and human-in-the-loop, together with a pilot experiment. This work is grounded in an almost zero-reso…