Papers by Pabitra Mitra
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. |