zengxingchen/ChartQA-MLLM
[IEEE VIS 2024] LLaVA-Chart: Advancing Multimodal Large Language Models in Chart Question Answering with Visualization-Referenced Instruction Tuning
HTML
Stargazers
- 18762098895CSU
- 9bowKorea
- alex-l-zhouBeijing
- ARCIST-AIARCIST
- claus-lang-kodex
- dsindexhttps://github.com/kakaobrain
- fly51flyPRIS
- harpreetsahota204Deci
- HuFeiHu
- huitaiter123
- HyunjunJeonCTO @ OnelineAI
- ibexoftechIbex of Tech LLC
- JackLingjiePeking University
- jj-ccc
- ketanmalempati
- kumarivinDePaul University
- Labiri
- LightDXYUSTC
- limaopeng1
- lyuwenyuHarbin Institute of Technology
- marty-sullivanCornell University
- MGarzoni
- NancyZerooo
- noomi-Jiang
- P-Cano
- prasanjit101
- snacking
- tengxiaoliuUC Santa Barbara
- tonywhite11
- vasgaoweiAlibaba Group
- WindChaserzzw
- xiapengchng
- Yemonade
- YiJianyongFuDan University
- zaks
- zengxingchenChangsha