Summary of 60 Data Points Are Sufficient to Fine-tune Llms For Question-answering, by Junjie Ye et al.
60 Data Points are Sufficient to Fine-Tune LLMs for Question-Answeringby Junjie Ye, Yuming Yang, Qi…
60 Data Points are Sufficient to Fine-Tune LLMs for Question-Answeringby Junjie Ye, Yuming Yang, Qi…
A Zero-Shot Open-Vocabulary Pipeline for Dialogue Understandingby Abdulfattah Safa, Gözde Gül ŞahinFirst submitted to arxiv…
In-Context Ensemble Learning from Pseudo Labels Improves Video-Language Models for Low-Level Workflow Understandingby Moucheng Xu,…
Five questions and answers about artificial intelligenceby Alberto Prieto, Beatriz PrietoFirst submitted to arxiv on:…
Machine Translation Advancements of Low-Resource Indian Languages by Transfer Learningby Bin Wei, Jiawei Zhen, Zongyao…
Enhancing Text-to-SQL Capabilities of Large Language Models via Domain Database Knowledge Injectionby Xingyu Ma, Xin…
Enhancing IoT based Plant Health Monitoring through Advanced Human Plant Interaction using Large Language Models…
Planning in the Dark: LLM-Symbolic Planning Pipeline without Expertsby Sukai Huang, Nir Lipovetzky, Trevor CohnFirst…
Multilingual Transfer and Domain Adaptation for Low-Resource Languages of Spainby Yuanchang Luo, Zhanglin Wu, Daimeng…
TSFeatLIME: An Online User Study in Enhancing Explainability in Univariate Time Series Forecastingby Hongnan Ma,…