Madhusudan Ghosh
Orcid: 0000-0002-8330-2703
According to our database1,
Madhusudan Ghosh
authored at least 16 papers
between 2022 and 2025.
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Bibliography
2025
The "Curious Case of Contexts" in Retrieval-Augmented Generation With a Combination of Labeled and Unlabeled Data.
WIREs Data. Mining. Knowl. Discov., June, 2025
CoRR, February, 2025
In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Proceedings of the Applied Algorithms - Second International Conference, 2025
2024
CoRR, 2024
Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 2024
Proceedings of the 24th ACM/IEEE Joint Conference on Digital Libraries, 2024
Overview of the "Information Retrieval in Software Engineering" (IRSE) track at Forum for Information Retrieval 2024.
Proceedings of the 16th Annual Meeting of the Forum for Information Retrieval Evaluation, 2024
"The Absence of Evidence is Not the Evidence of Absence": Fact Verification via Information Retrieval-Based In-Context Learning.
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.
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.
CoRR, 2023
MLlab4CS at SemEval-2023 Task 2: Named Entity Recognition in Low-resource Language Bangla Using Multilingual Language Models.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023
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.
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.
CoRR, 2022
DeepGLSTM: Deep Graph Convolutional Network and LSTM based approach for predicting drug-target binding affinity.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022