Search Results for author:
Found 4 papers, 3 papers with code
Multi-FAct: Assessing Multilingual LLMs' Multi-Regional Knowledge using FActScore
Large Language Models (LLMs) are prone to factuality hallucination, generating text that contradicts established knowledge.
The Generative AI Paradox on Evaluation: What It Can Solve, It May Not Evaluate
This paper explores the assumption that Large Language Models (LLMs) skilled in generation tasks are equally adept as evaluators.
KOLD: Korean Offensive Language Dataset
Recent directions for offensive language detection are hierarchical modeling, identifying the type and the target of offensive language, and interpretability with offensive span annotation and prediction.
KLUE: Korean Language Understanding Evaluation
We introduce Korean Language Understanding Evaluation (KLUE) benchmark.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
