2024
Domain-Agnostic Adapter Architecture for Deception Detection: Extensive Evaluations with the DIFrauD Benchmark
COLING 2024main
Despite significant strides in training expansive transformer models, their deployment for niche tasks remains intricate. This paper delves into deception detection, assessing domain adaptation methodologies from a cross-domain lens using transformer Large Language Models (LLMs). We roll out a new c…