Shalin Shah — accepted AI-conference papers

2024

ULTRA: Unleash LLMs’ Potential for Event Argument Extraction through Hierarchical Modeling and Pair-wise Self-Refinement

Xinliang Frederick Zhang, Carter Blum, Temma Choji, Shalin Shah, Alakananda Vempala

ACL 2024findings

Structural extraction of events within discourse is critical since it avails a deeper understanding of communication patterns and behavior trends. Event argument extraction (EAE), at the core of event-centric understanding, is the task of identifying role-specific text spans (i.e., arguments) for a…

Cited by 13 Source ↗PDF ↗Scholar ↗

2023

Don’t Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text

Ashim Gupta, Carter Blum, Temma Choji, Yingjie Fei, Shalin Shah, Alakananda Vempala +1

ACL 2023long

Can language models transform inputs to protect text classifiers against adversarial attacks? In this work, we present ATINTER, a model that intercepts and learns to rewrite adversarial inputs to make them non-adversarial for a downstream text classifier. Our experiments on four datasets and five at…

Cited by 10 Source ↗PDF ↗code ↗Scholar ↗