2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CL2025
Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks
Yang Wang, Chenghua Lin
Recent advancements in natural language processing have highlighted the vulnerability of deep learning models to adversarial attacks. While various defence mechanisms have been pro…
cs.CL2024★ 2 cited
From Facts to Insights: A Study on the Generation and Evaluation of Analytical Reports for Deciphering Earnings Calls
Tomas Goldsack, Yang Wang, Chenghua Lin +1
This paper explores the use of Large Language Models (LLMs) in the generation and evaluation of analytical reports derived from Earnings Calls (ECs). Addressing a current gap in re…