5 papers
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…
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…
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…
A Taxonomy-Driven Case Study of Australian Web Resources Against Technology-Facilitated Abuse
Dipankar Srirag, Xiaolin Cen, Rahat Masood +1
Technology-Facilitated Abuse (TFA) encompasses a broad and rapidly evolving set of behaviours in which digital systems are used to harass, monitor, threaten, or control individuals…
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…