6 citations · 9 across the 4 of their papers we have counts for
4 papers · 1 filter
Fact4ac at the Financial Misinformation Detection Challenge Task: Reference-Free Financial Misinformation Detection via Fine-Tuning and Few-Shot Prompting of Large Language Models
Cuong Hoang, Le-Minh Nguyen
The proliferation of financial misinformation poses a severe threat to market stability and investor trust, misleading market behavior and creating critical information asymmetry.…
VLSP 2023 -- LTER: A Summary of the Challenge on Legal Textual Entailment Recognition
Vu Tran, Ha-Thanh Nguyen, Trung Vo +7
In this new era of rapid AI development, especially in language processing, the demand for AI in the legal domain is increasingly critical. In the context where research in other l…
Employing Label Models on ChatGPT Answers Improves Legal Text Entailment Performance
Chau Nguyen, Le-Minh Nguyen
The objective of legal text entailment is to ascertain whether the assertions in a legal query logically follow from the information provided in one or multiple legal articles. Cha…
CAPTAIN at COLIEE 2023: Efficient Methods for Legal Information Retrieval and Entailment Tasks
Chau Nguyen, Phuong Nguyen, Thanh Tran +5
The Competition on Legal Information Extraction/Entailment (COLIEE) is held annually to encourage advancements in the automatic processing of legal texts. Processing legal document…