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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…