6 citations · 8 across the 11 of their papers we have counts for
11 papers
Stable-Shift: Biologically Structured Prediction of Transcriptional Responses to Unseen Gene Perturbations
Sajib Acharjee Dip, Liqing Zhang
Predicting transcriptional responses to genetic perturbations could reduce the experimental burden of functional genomics, but extrapolation to genes that were never perturbed duri…
Think Again or Think Longer? Selective Verification for Budget-Aware Reasoning
Sajib Acharjee Dip, Dawei Zhou, Liqing Zhang
Test-time reasoning is increasingly used as a serving-time control knob, but extra reasoning is not uniformly valuable: it can repair failed attempts, waste compute on already-corr…
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…
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…
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…
CFM-GP: Unified Conditional Flow Matching to Learn Gene Perturbation Across Cell Types
Abrar Rahman Abir, Sajib Acharjee Dip, Liqing Zhang
Understanding gene perturbation effects across diverse cellular contexts is a central challenge in functional genomics, with important implications for therapeutic discovery and pr…
MoXGATE: Modality-aware cross-attention for multi-omic gastrointestinal cancer sub-type classification
Sajib Acharjee Dip, Uddip Acharjee Shuvo, Dipanwita Mallick +2
Cancer subtype classification is crucial for personalized treatment and prognostic assessment. However, effectively integrating multi-omic data remains challenging due to the heter…
PAINT: Paying Attention to INformed Tokens to Mitigate Hallucination in Large Vision-Language Model
Kazi Hasan Ibn Arif, Sajib Acharjee Dip, Khizar Hussain +2
Large Vision Language Models (LVLMs) have demonstrated remarkable capabilities in understanding and describing visual content, achieving state-of-the-art performance across various…
Equitable Skin Disease Prediction Using Transfer Learning and Domain Adaptation
Sajib Acharjee Dip, Kazi Hasan Ibn Arif, Uddip Acharjee Shuvo +2
In the realm of dermatology, the complexity of diagnosing skin conditions manually necessitates the expertise of dermatologists. Accurate identification of various skin ailments, r…
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…
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…