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20242026
most citedAI for Biomedicine in the Era of Large Language Models

6 citations · 8 across the 11 of their papers we have counts for

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cs.CL2026

BenSyc: Benchmarking Conversational Sycophancy and Human Alignment in LLMs for Bengali Contexts

Kazi Noshin, Sajib Acharjee Dip, Ranat Das Prangon +4

Large language models (LLMs) increasingly participate in emotionally sensitive social conversations, where responses may shift from balanced support toward excessive validation or…

cs.CL2026

PlantMarkerBench: A Multi-Species Benchmark for Evidence-Grounded Plant Marker Reasoning

Sajib Acharjee Dip, Song Li, Liqing Zhang

Cell-type-specific marker genes are fundamental to plant biology, yet existing resources primarily rely on curated databases or high-throughput studies without explicitly modeling…

cs.CL2025

LLM4Cell: A Survey of Large Language and Agentic Models for Single-Cell Biology

Sajib Acharjee Dip, Adrika Zafor, Bikash Kumar Paul +4

Large language models (LLMs) and emerging agentic frameworks are beginning to transform single-cell biology by enabling natural-language reasoning, generative annotation, and multi…

cs.CL2024★ 1 cited

PathoLM: Identifying pathogenicity from the DNA sequence through the Genome Foundation Model

Sajib Acharjee Dip, Uddip Acharjee Shuvo, Tran Chau +4

Pathogen identification is pivotal in diagnosing, treating, and preventing diseases, crucial for controlling infections and safeguarding public health. Traditional alignment-based…

cs.CL2024★ 6 cited

AI for Biomedicine in the Era of Large Language Models

Zhenyu Bi, Sajib Acharjee Dip, Daniel Hajialigol +4

The capabilities of AI for biomedicine span a wide spectrum, from the atomic level, where it solves partial differential equations for quantum systems, to the molecular level, pred…