J. Kim

Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM Responses

2024 · arXiv (Cornell University)

Mitigating hallucination issues is a key challenge that must be overcome to reliably deploy large language models (LLMs) in real-world scenarios. Recently, various methods have been proposed to detect and revise factual errors in LLM-generated …

A study on adjunct control construction in Spanish

2024 · Estudios Hispánicos

This study is to explore the properties of Spanish adjunct control construction and provide an appropriate analysis for it. The discussion is developed based on the Form Copy (FC) hypothesis proposed by Chomsky (2021) and …