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cs.CL2025
Can LLMs Extract Frame-Semantic Arguments?
Jacob Devasier, Rishabh Mediratta, Chengkai Li
Frame-semantic parsing is a critical task in natural language understanding, yet the ability of large language models (LLMs) to extract frame-semantic arguments remains underexplor…
cs.CL2020
Gradient-Based Adversarial Training on Transformer Networks for Detecting Check-Worthy Factual Claims
Kevin Meng, Damian Jimenez, Fatma Arslan +3
We present a study on the efficacy of adversarial training on transformer neural network models, with respect to the task of detecting check-worthy claims. In this work, we introdu…