Gradient-Based Adversarial Training on Transformer Networks for Detecting Check-Worthy Factual Claims. - Kevin Meng; Damian Jimenez; Fatma Arslan; Jacob Daniel Devasier; Daniel Obembe; Chengkai Li 001 (CoRR, 2020)

Robust Frame-Semantic Models with Lexical Unit Trees and Negative Samples. - Jacob Daniel Devasier; Yogesh Gurjar; Chengkai Li 001 (ACL (1), 2024)

Gradient-Based Adversarial Training on Transformer Networks for Detecting Check-Worthy Factual Claims. - Kevin Meng; Damian Jimenez; Jacob Daniel Devasier; Sai Sandeep Naraparaju; Fatma Arslan; Daniel Obembe; Chengkai Li 001 (ACM Trans. Intell. Syst. Technol., 2024)

Task-Oriented Automatic Fact-Checking with Frame-Semantics. - Jacob Daniel Devasier; Akshith Reddy Putta; Rishabh Mediratta; Chengkai Li 001 (ACL (Findings), 2025)

Automatic Fact-Checking with Frame-Semantics. - Jacob Daniel Devasier; Rishabh Mediratta; Akshith Reddy Putta; Chengkai Li 001 (CoRR, 2025)

Can LLMs Extract Frame-Semantic Arguments? - Jacob Daniel Devasier; Rishabh Mediratta; Chengkai Li 001 (CoRR, 2025)