Papers by Pabitra Mitra

2 papers
DisGraph-RP: Graph-Augmented Temporal Modeling with Aspect-Based Contrastive Encoding of Discharge Summary for Readmission Prediction (2026.eacl-industry)

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Challenge: Recent data indicate that nearly 15% of hospitalized patients in the U.S. are readmitted soon after discharge.
Approach: They propose a graph-augmented temporal modeling framework that integrates structured discourse-aware text representation with cross-admission relational reasoning.
Outcome: The proposed model improves on baseline models and prompting-based models on real-world datasets.
Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model (2024.findings-emnlp)

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Challenge: Existing studies show that training examples improve zero-shot performance of supervised ranking models.
Approach: They propose to augment supervised ranking models with pairs of queries and documents to improve their performance.
Outcome: The proposed model outperforms the unsupervised models on in-domain and out-domain retrieval benchmarks.

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