Madhusudan Ghosh

According to our database, Madhusudan Ghosh authored at least 10 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

CrysAtom: Distributed Representation of Atoms for Crystal Property Prediction.

Shrimon Mukherjee, Madhusudan Ghosh, Partha Basuchowdhuri

CoRR, 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

Proceedings of the Big Data Analytics and Knowledge Discovery, 2024

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

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

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

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

Proceedings of the The 17th International Workshop on Semantic Evaluation, 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

Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation, 2023

Extracting Methodology Components from AI Research Papers: A Data-driven Factored Sequence Labeling Approach.

Madhusudan Ghosh, Debasis Ganguly, Partha Basuchowdhuri, Sudip Kumar Naskar

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Deep Graph Convolutional Network and LSTM based approach for predicting drug-target binding affinity.

Shrimon Mukherjee, Madhusudan Ghosh, Partha Basuchowdhuri

CoRR, 2022

DeepGLSTM: Deep Graph Convolutional Network and LSTM based approach for predicting drug-target binding affinity.

Shrimon Mukherjee, Madhusudan Ghosh, Partha Basuchowdhuri

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022