3 papers
cs.CL2024
Captioning Visualizations with Large Language Models (CVLLM): A Tutorial
Giuseppe Carenini, Jordon Johnson, Ali Salamatian
Automatically captioning visualizations is not new, but recent advances in large language models(LLMs) open exciting new possibilities. In this tutorial, after providing a brief re…
cs.CL2024
DeTriever: Decoder-representation-based Retriever for Improving NL2SQL In-Context Learning
Yuxi Feng, Raymond Li, Zhenan Fan +4
While in-context Learning (ICL) has proven to be an effective technique to improve the performance of Large Language Models (LLMs) in a variety of complex tasks, notably in transla…
cs.CL2024
Personalized Abstractive Summarization by Tri-agent Generation Pipeline
Wen Xiao, Yujia Xie, Giuseppe Carenini +1
Tailoring outputs from large language models, like ChatGPT, to implicit user preferences remains a challenge despite their impressive generative capabilities. In this paper, we pro…