wzhouad/context-faithful-llm
Code and data for paper "Context-faithful Prompting for Large Language Models".
Python
Stargazers
- dependentsignInstitute of Automation, Chinese Academy of Sciences
- eric8810STAST
- fblissjrAptitive
- FeiWang96University of Southern California
- fly51flyPRIS
- hardikudeshi
- him4318Delhi
- hsaestFudan University
- hyukkyukang
- JeffCarpenterCanada
- Lam1360South China University of Technology
- lfy79001Institute of Automation, Chinese Academy of Sciences
- littlelaska
- mertygStanford University
- Mint-hfut
- muhaochen
- onigiricocoNetherlands
- qeeqezTurkey
- QingruZhangGeorgia Institute of Technology
- Question406UCSB
- raymondng76AI Singapore
- SandalotsVolcanak
- sdrakulich
- SHITIANYU-hueUniversity of Toronto
- sn-masoud@servicenow
- squiduuPRML, Korea University, South Korea
- vhientranNICT
- Vicent0205sjtu
- wangjing0cambridge
- wangxinyu0922Alibaba DAMO Academy
- wzhouadZoom
- XnhyacinthCASIA
- yeongjoonJuPR & ML Lab in Korea University
- youhebuke
- yqt
- zephyrzilla@servicenow