11:00 〜 17:00
[2S1-isAI-2-01] Day 2 Agenda
11:00: Invited talk 3 (SC: TBA )
Speaker: Assoc. Prof. Mori Junichiro (Graduate School of Information Science and Technology, University of Tokyo)
Title: Large-scale scholarly data analysis: network analysis perspective
12:00: Lunch break
14:00-15:25: Session 2 (SC: TBA)
14:00-14:30: Hallucination for large language modeling: a comprehensive review
TBA
14:30-15:00: Vietnamese Elementary Math Reasoning using Large Language Model with Refined Translation and Dense-retrieved Chain-of-thought
TBA
15:00-15:25: A Framework for Enhancing Statute Law Retrieval using Large Language Models
TBA
15:25-15:30: Coffee break
15:30-17:00: Session 3 (SC: TBA)
15:30-16:00: Improving LLM Prompting with Ensemble of Instructions: A Case Study on Sentiment Analysis
TBA
16:00-16:30: Enhancing Document Retrieval in COVID-19 Research: Leveraging Large Language Models for Hidden Relation Extraction
TBA
16:30-17:00: Semantic Parsing for Question and Answering Over DBLP Database with Large Language Models
TBA
17:00: Workshop closing
Speaker: Assoc. Prof. Mori Junichiro (Graduate School of Information Science and Technology, University of Tokyo)
Title: Large-scale scholarly data analysis: network analysis perspective
12:00: Lunch break
14:00-15:25: Session 2 (SC: TBA)
14:00-14:30: Hallucination for large language modeling: a comprehensive review
TBA
14:30-15:00: Vietnamese Elementary Math Reasoning using Large Language Model with Refined Translation and Dense-retrieved Chain-of-thought
TBA
15:00-15:25: A Framework for Enhancing Statute Law Retrieval using Large Language Models
TBA
15:25-15:30: Coffee break
15:30-17:00: Session 3 (SC: TBA)
15:30-16:00: Improving LLM Prompting with Ensemble of Instructions: A Case Study on Sentiment Analysis
TBA
16:00-16:30: Enhancing Document Retrieval in COVID-19 Research: Leveraging Large Language Models for Hidden Relation Extraction
TBA
16:30-17:00: Semantic Parsing for Question and Answering Over DBLP Database with Large Language Models
TBA
17:00: Workshop closing
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