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20222026
most citedDistributionally Robust Survival Analysis: A Novel Fairness Loss Without Demographics

3 citations · 8 across the 14 of their papers we have counts for

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cs.CL2026

Text Knows What, Tables Know When: Clinical Timeline Reconstruction via Retrieval-Augmented Multimodal Alignment

Sayantan Kumar, Shahriar Noroozizadeh, Juyong Kim +1

Clinical language models increasingly operate over electronic health records (EHRs), yet patient records are not stored as temporally grounded trajectories. Clinical notes describe…

cs.CL2025

PMOA-TTS: Introducing the PubMed Open Access Textual Times Series Corpus

Shahriar Noroozizadeh, Sayantan Kumar, George H. Chen +1

Clinical narratives encode temporal dynamics essential for modeling patient trajectories, yet large-scale temporally annotated resources are scarce. We introduce PMOA-TTS, a corpus…

cs.CL2025★ 1 cited

Reconstructing Sepsis Trajectories from Clinical Case Reports using LLMs: the Textual Time Series Corpus for Sepsis

Shahriar Noroozizadeh, Jeremy C. Weiss

Clinical case reports and discharge summaries may be the most complete and accurate summarization of patient encounters, yet they are finalized, i.e., timestamped after the encount…

cs.CL2025

Forecasting Clinical Risk from Textual Time Series: Structuring Narratives for Temporal AI in Healthcare

Shahriar Noroozizadeh, Sayantan Kumar, Jeremy C. Weiss

Clinical case reports encode temporal patient trajectories that are often underexploited by traditional machine learning methods relying on structured data. In this work, we introd…

cs.CL2024★ 1 cited

Many-Shot In-Context Learning for Molecular Inverse Design

Saeed Moayedpour, Alejandro Corrochano-Navarro, Faryad Sahneh +14

Large Language Models (LLMs) have demonstrated great performance in few-shot In-Context Learning (ICL) for a variety of generative and discriminative chemical design tasks. The new…

cs.CL2024

TLDR at SemEval-2024 Task 2: T5-generated clinical-Language summaries for DeBERTa Report Analysis

Spandan Das, Vinay Samuel, Shahriar Noroozizadeh

This paper introduces novel methodologies for the Natural Language Inference for Clinical Trials (NLI4CT) task. We present TLDR (T5-generated clinical-Language summaries for DeBERT…