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Soumajit Pramanik

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#natural language process... Preprint Oct 2026

Towards Explaining Query Expansion Performance in Information Retrieval

Query Expansion (QE) techniques have long been widely used in Information Retrieval (IR) to address the vocabulary mismatch problem. They remain relevant in modern retrieval systems, including those based on large language models (LLMs). However, no single QE method consistently outperforms others across all queries. T...

Sourav Saha, A. Dutta, Soumajit Pramanik et al. · 0 citations

Open access Aug 2026

DeepPNI: a language- and graph-based model for mutation-driven protein–nucleic acid binding energetics

DeepPNI is a deep learning regression model that integrates sequence- and structure-based features to estimate mutation-induced changes in binding free energy in protein–nucleic acid complexes, developed using a comprehensive dataset of 1754 mutations spanning protein–DNA and protein–RNA complexes.

Somnath Mondal, Tinkal Mondal, Soumajit Pramanik et al. · Nucleic Acids Research · 0 citations