Search Results for author: Temma Choji

Found 3 papers, 0 papers with code

Right for the Right Reason: Evidence Extraction for Trustworthy Tabular Reasoning

no code implementations ACL 2022 Vivek Gupta, Shuo Zhang, Alakananda Vempala, Yujie He, Temma Choji, Vivek Srikumar

On the downstream tabular inference task, using only the automatically extracted evidence as the premise, our approach outperforms prior benchmarks.

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

no code implementations24 Jan 2024 Xinliang Frederick Zhang, Carter Blum, Temma Choji, Shalin Shah, Alakananda Vempala

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 given event.

Event Argument Extraction

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

no code implementations25 May 2023 Ashim Gupta, Carter Wood Blum, Temma Choji, Yingjie Fei, Shalin Shah, Alakananda Vempala, Vivek Srikumar

For example, on sentiment classification using the SST-2 dataset, our method improves the adversarial accuracy over the best existing defense approach by more than 4% with a smaller decrease in task accuracy (0. 5% vs 2. 5%).

Adversarial Robustness Classification +4

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