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20242026
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cs.CL2026

From Triage to Discharge: A Survey of NLP Tasks, Methods, and Open Challenges in the Emergency Department

Dipankar Srirag, Aditya Joshi, Salil Kanhere +1

Emergency departments (EDs) operate under time pressure, generating multimodal data such as clinical conversations, triage notes, and discharge documents. Recent advances in natura…

cs.CL2026

Retell, Reward, Repeat: Reinforcement Learning for Narrative Theory-Informed Story Retelling

David Y. Liu, Xanthe Muston, Dipankar Srirag +2

Counterfactual story retelling exposes LLM shortcomings in constrained narrative solution spaces where they can no longer rely on recalling memorised training data. Ground-truth-ba…

cs.CL2026

PAREDA: A Multi-Accent Speech Dataset of Natural Language Processing Research Discussions

Sicheng Jin, Dipankar Srirag, Aditya Joshi

While modern Automatic Speech Recognition (ASR) systems achieve high accuracy on benchmark corpora, their performance often degrades when there is real-world variability. This work…

cs.CL2026

TriageSim: A Conversational Emergency Triage Simulation Framework from Structured Electronic Health Records

Dipankar Srirag, Quoc Dung Nguyen, Aditya Joshi +2

Research in emergency triage is restricted to structured electronic health records (EHR) due to regulatory constraints on nurse-patient interactions. We introduce TriageSim, a simu…

cs.CL2024

Comparison of Multilingual and Bilingual Models for Satirical News Detection of Arabic and English

Omar W. Abdalla, Aditya Joshi, Rahat Masood +1

Satirical news is real news combined with a humorous comment or exaggerated content, and it often mimics the format and style of real news. However, satirical news is often misunde…