Since the advent of ChatGPT, Large Language Models (LLMs) have excelled in various
tasks but remain as black-box systems. Consequently, the reasoning bottlenecks of LLMs …

The rise of Generative Artificial Intelligence, including Large Language Models (LLMs), has
enabled users to engage in self-guided learning of sports skills through conversation-based …

Large language models (LLMs) have demonstrated exceptional capabilities across a wide
range of tasks but also pose significant risks due to their potential to generate harmful …

Ensuring the correctness of code generated by Large Language Models (LLMs) presents a
significant challenge in AI-driven software development. Existing approaches predominantly …

This work identifies the Energy Loss Phenomenon in Reinforcement Learning from Human
Feedback (RLHF) and its connection to reward hacking. Specifically, energy loss in the final …

Large language model (LLM) systems suffer from the models' unstable ability to generate
valid and factual content, resulting in hallucination generation. Current hallucination …

Evaluating hospital service quality depends on analyzing patient satisfaction feedback.
Human-led analyses of patient feedback have been inconsistent and time-consuming, while …

Large language models (LLMs) have demonstrated performance approaching human levels
in tasks such as long-text comprehension and mathematical reasoning, but they remain …

요 약 본 연구는 생성형 AI 모델들이 가지는 최신성이 반영되지 않은 언어모델 활용으로 발생할
수 있는 환각현상과사실성 문제 등 언어모델의 한계를 해결하고 최신성이 실시간으로 반영될 …