Jifan Zhang
@jifan-zhang.bsky.social
Ph.D. @WisconsinCS @WIDiscovery | Previously BS/MS @uwcse, @Meta @Google
Research: AI for Creativity, Active Learning, Data Efficient Learning (jifanz.github.io)
Research: AI for Creativity, Active Learning, Data Efficient Learning (jifanz.github.io)
Thanks Rob for supporting this work! Also, I'm going on the industry job market this year and actively looking for research scientist opportunities on LLM, data & label efficiency, and reasoning capabilities.
🧵 Heard all the buzz around distilling from OpenAI models? Check out @jifanz's latest work SIEVE - showing how strategic distillation can make LLM development radically more cost-effective while matching quality.
February 7, 2025 at 3:04 AM
Thanks Rob for supporting this work! Also, I'm going on the industry job market this year and actively looking for research scientist opportunities on LLM, data & label efficiency, and reasoning capabilities.
Reposted by Jifan Zhang
I’ll be presenting a poster on some work on OOD detection using active learning today at 4:30pst!
December 11, 2024 at 10:18 PM
I’ll be presenting a poster on some work on OOD detection using active learning today at 4:30pst!
Check out our poster about humor and LLMs at #2908 today in the noon poster session! I’ll have to miss it, but Rob and Lalit will both be there to chat.
There is a ton of interest in the question of whether AI can be be funny: www.bbc.com/future/artic.... Our paper at NeurIPS investigates the humor generation capabilities of the latest and greatest AI models using one of world’s largest humor datasets! arxiv.org/pdf/2406.10522
December 11, 2024 at 4:06 PM
Check out our poster about humor and LLMs at #2908 today in the noon poster session! I’ll have to miss it, but Rob and Lalit will both be there to chat.
Reposted by Jifan Zhang
No one can explain stochastic gradient descent better than this panda.
a panda bear is rolling around in the grass in a zoo enclosure .
Alt: a panda bear is rolling around in the grass in a zoo enclosure .
media.tenor.com
November 24, 2024 at 3:04 PM
No one can explain stochastic gradient descent better than this panda.
We decided to start a Data-Centric ML starter pack. Please comment so I can include everyone: go.bsky.app/BNWnrSu
November 23, 2024 at 1:45 AM
We decided to start a Data-Centric ML starter pack. Please comment so I can include everyone: go.bsky.app/BNWnrSu