1 citations · 1 across the 3 of their papers we have counts for
4 papers
Exploring Causes and Mitigation of Hallucinations in Large Vision Language Models
Yaqi Sun, Kyohei Atarashi, Koh Takeuchi +1
Large Vision-Language Models (LVLMs) integrate image encoders with Large Language Models (LLMs) to process multi-modal inputs and perform complex visual tasks. However, they often…
Emulating Retrieval Augmented Generation via Prompt Engineering for Enhanced Long Context Comprehension in LLMs
Joon Park, Kyohei Atarashi, Koh Takeuchi +1
This paper addresses the challenge of comprehending very long contexts in Large Language Models (LLMs) by proposing a method that emulates Retrieval Augmented Generation (RAG) thro…
AHP-Powered LLM Reasoning for Multi-Criteria Evaluation of Open-Ended Responses
Xiaotian Lu, Jiyi Li, Koh Takeuchi +1
Question answering (QA) tasks have been extensively studied in the field of natural language processing (NLP). Answers to open-ended questions are highly diverse and difficult to q…
Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference
Koh Takeuchi, Ryo Nishida, Hisashi Kashima +1
Crowd movement guidance has been a fascinating problem in various fields, such as easing traffic congestion in unusual events and evacuating people from an emergency-affected area.…