Jacob Daniel Devasier

According to our database, Jacob Daniel Devasier authored at least 11 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Reasoning or Rationalization? The Role of Justifications in Masked Diffusion Models for Fact Verification.

Jacob Daniel Devasier

CoRR, March, 2026

Frame-Guided Synthetic Claim Generation for Automatic Fact-Checking Using High-Volume Tabular Data.

Jacob Daniel Devasier, Akshith Reddy Putta, Qing Wang, Alankrit Moses, Chengkai Li

CoRR, January, 2026

CaseFacts: A Benchmark for Legal Fact-Checking and Precedent Retrieval.

Akshith Reddy Putta, Jacob Daniel Devasier, Chengkai Li

CoRR, January, 2026

2025

ClaimCheck: Real-Time Fact-Checking with Small Language Models.

Akshith Reddy Putta, Jacob Daniel Devasier, Chengkai Li

CoRR, October, 2025

Automatic Fact-Checking with Frame-Semantics.

Jacob Daniel Devasier, Rishabh Mediratta, Akshith Reddy Putta, Chengkai Li

CoRR, January, 2025

Can LLMs Extract Frame-Semantic Arguments?

Jacob Daniel Devasier, Rishabh Mediratta, Chengkai Li

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Task-Oriented Automatic Fact-Checking with Frame-Semantics.

Jacob Daniel Devasier, Akshith Reddy Putta, Rishabh Mediratta, Chengkai Li

Proceedings of the Findings of the Association for Computational Linguistics, 2025

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

ACM Trans. Intell. Syst. Technol., December, 2024

ClaimLens: Automated, Explainable Fact-Checking on Voting Claims Using Frame-Semantics.

Jacob Daniel Devasier, Rishabh Mediratta, Phuong Anh Le, David Huang, Chengkai Li

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Robust Frame-Semantic Models with Lexical Unit Trees and Negative Samples.

Jacob Daniel Devasier, Yogesh Gurjar, Chengkai Li

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2020

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

CoRR, 2020