DeepGLSTM: Deep Graph Convolutional Network and LSTM based approach for predicting drug-target binding affinity. - Shrimon Mukherjee; Madhusudan Ghosh; Partha Basuchowdhuri (SDM, 2022)

Deep Graph Convolutional Network and LSTM based approach for predicting drug-target binding affinity. - Shrimon Mukherjee; Madhusudan Ghosh; Partha Basuchowdhuri (CoRR, 2022)

Extracting Methodology Components from AI Research Papers: A Data-driven Factored Sequence Labeling Approach. - Madhusudan Ghosh; Debasis Ganguly; Partha Basuchowdhuri; Sudip Kumar Naskar (CIKM, 2023)

Unleashing the Power of Large Language Models: A Hands-On Tutorial. - Payel Santra; Madhusudan Ghosh; Shrimon Mukherjee; Debasis Ganguly; Partha Basuchowdhuri; Sudip Kumar Naskar (FIRE, 2023)

MLlab4CS at SemEval-2023 Task 2: Named Entity Recognition in Low-resource Language Bangla Using Multilingual Language Models. - Shrimon Mukherjee; Madhusudan Ghosh; Girish; Partha Basuchowdhuri (SemEval@ACL, 2023)

Enhancing AI Research Paper Analysis: Methodology Component Extraction using Factored Transformer-based Sequence Modeling Approach. - Madhusudan Ghosh; Debasis Ganguly; Partha Basuchowdhuri; Sudip Kumar Naskar (CoRR, 2023)

BLINKtextsubscriptLSTM: BioLinkBERT and LSTM based approach for extraction of PICO frame from Clinical Trial Text. - Madhusudan Ghosh; Shrimon Mukherjee; Payel Santra; Girish Na; Partha Basuchowdhuri (COMAD/CODS, 2024)

"The Absence of Evidence is Not the Evidence of Absence": Fact Verification via Information Retrieval-Based In-Context Learning. - Payel Santra; Madhusudan Ghosh; Debasis Ganguly; Partha Basuchowdhuri; Sudip Kumar Naskar (DaWaK, 2024)

Overview of the "Information Retrieval in Software Engineering" (IRSE) track at Forum for Information Retrieval 2024. - Soumen Paul; Srijoni Majumdar; Raj Shah; Susmita Das; Madhusudan Ghosh; Debasis Ganguly; Gul Calikli; Debarshi Kumar Sanyal; Partha Pratim Das 001; Paul D. Clough; Ayan Bandyopadhyay; Samiran Chattopadhyay (FIRE, 2024)

Chronological Evaluation of Novel Methodology Extraction from AI Literature. - Madhusudan Ghosh; Debasis Ganguly; Partha Basuchowdhuri; Sudip Kumar Naskar (JCDL, 2024)

CrysAtom: Distributed Representation of Atoms for Crystal Property Prediction. - Shrimon Mukherjee; Madhusudan Ghosh; Partha Basuchowdhuri (LoG, 2024)

AlpaPICO: Extraction of PICO Frames from Clinical Trial Documents Using LLMs. - Madhusudan Ghosh; Shrimon Mukherjee; Asmit Ganguly; Partha Basuchowdhuri; Sudip Kumar Naskar; Debasis Ganguly (CoRR, 2024)

RExAS: Relation Extraction Using Adaptive Self-attention. - Madhusudan Ghosh; Partha Basuchowdhuri; Sudip Kumar Naskar (ICAA, 2025)

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code. - Susmita Das; Madhusudan Ghosh; Priyanka Swami; Debasis Ganguly; Gul Calikli (SIGIR, 2025)

Unified Graph Networks (UGN): A Deep Neural Framework for Solving Graph Problems. - Rudrajit Dawn; Madhusudan Ghosh; Partha Basuchowdhuri; Sudip Kumar Naskar (CoRR, 2025)

The "Curious Case of Contexts" in Retrieval-Augmented Generation With a Combination of Labeled and Unlabeled Data. - Payel Santra; Madhusudan Ghosh; Debasis Ganguly; Partha Basuchowdhuri; Sudip Kumar Naskar (WIREs Data. Mining. Knowl. Discov., 2025)