1 citations · 1 across the 4 of their papers we have counts for
5 papers
A.X K2 Technical Report
Cheolseung Baek, Dhammiko Arya, Eunki Kim +40
We introduce A.X K2, a 688B-parameter Mixture-of-Experts (MoE) language model trained from scratch as a high-performance foundation for \emph{agentic} applications. Trained on appr…
Exploring Multimodal Perception in Large Language Models Through Perceptual Strength Ratings
Jonghyun Lee, Dojun Park, Jiwoo Lee +2
This study investigated whether multimodal large language models can achieve human-like sensory grounding by examining their ability to capture perceptual strength ratings across s…
Evaluating Large language models on Understanding Korean indirect Speech acts
Youngeun Koo, Jiwoo Lee, Dojun Park +2
To accurately understand the intention of an utterance is crucial in conversational communication. As conversational artificial intelligence models are rapidly being developed and…
MultiPragEval: Multilingual Pragmatic Evaluation of Large Language Models
Dojun Park, Jiwoo Lee, Seohyun Park +5
As the capabilities of Large Language Models (LLMs) expand, it becomes increasingly important to evaluate them beyond basic knowledge assessment, focusing on higher-level language…
Pragmatic Competence Evaluation of Large Language Models for the Korean Language
Dojun Park, Jiwoo Lee, Hyeyun Jeong +2
Benchmarks play a significant role in the current evaluation of Large Language Models (LLMs), yet they often overlook the models' abilities to capture the nuances of human language…