3 papers
cs.LG2025
Retrieval-Augmented Generation with Estimation of Source Reliability
Jeongyeon Hwang, Junyoung Park, Hyejin Park +3
Retrieval-Augmented Generation (RAG) is an effective approach to enhance the factual accuracy of large language models (LLMs) by retrieving information from external databases, whi…
cs.CL2024
Expanding Search Space with Diverse Prompting Agents: An Efficient Sampling Approach for LLM Mathematical Reasoning
Gisang Lee, Sangwoo Park, Junyoung Park +5
Large Language Models (LLMs) have exhibited remarkable capabilities in many complex tasks including mathematical reasoning. However, traditional approaches heavily rely on ensuring…
cs.CL2024
Towards Efficient Visual-Language Alignment of the Q-Former for Visual Reasoning Tasks
Sungkyung Kim, Adam Lee, Junyoung Park +3
Recent advancements in large language models have demonstrated enhanced capabilities in visual reasoning tasks by employing additional encoders for aligning different modalities. W…