1 citations · 1 across the 4 of their papers we have counts for
4 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…
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…
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…
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…