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MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning

North American Chapter of the Association for Computational Linguistics, 2023
With the rapid development of large language models (LLMs) and their integration into large multimodal models (LMMs), there has beenimpressive progress in zero-shot completion of user-oriented vision-language tasks.
Fuxiao Liu   +7 more
semanticscholar   +1 more source

ChartLlama: A Multimodal LLM for Chart Understanding and Generation

arXiv.org, 2023
Multi-modal large language models have demonstrated impressive performances on most vision-language tasks. However, the model generally lacks the understanding capabilities for specific domain data, particularly when it comes to interpreting chart ...
Yucheng Han   +7 more
semanticscholar   +1 more source

Charting By Machines [PDF]

open access: possibleSSRN Electronic Journal, 2021
We test the efficient market hypothesis by using machine learning to forecast future stock returns from historical performance. These forecasts strongly predict the cross section of future stock returns. The predictive power holds in most subperiods, is strong among the largest 500 stocks, and is distinct from momentum and reversal.
Houping Xiao, Yusen Xia, Scott Murray
openaire   +1 more source

Charting CHART's progress

British Journal of Infection Control, 2004
The CHART study, a collaboration between the Infection Control Nurses Association (ICNA) and the Richard Wells Research Centre (RWR) at Thames Valley University, is now well underway. This article outlines the progress to date and, for those not familiar with the study, it provides a brief overview of the background to the study and what it involves.
S.R.L.J. Jones   +2 more
openaire   +2 more sources

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