Just arrived for this year’s #CHI2024 ! I will present our work “PromptCharm: Text-to-Image Generation through Multi-modal Prompting and Refinement” at 2:45 PM on Monday in 318B.
Paper: https://t.co/QEAZoVYc0A
Code: https://t.co/rgIXk2LUID
(1/6)
Jailbreaking LLMs typically requires human creativity or hours of compute.
Introducing PAIR: a procedure for generating interpretable jailbreaks with only *black box access*, that often succeeds under a minute and only 20 queries! 🧵
Our new work (https://t.co/S7t3SxRynn) shows that LLMs can learn (sometimes uncommon) rules with 2 stages: (1) induction: generate and verify rules from exemplars; (2) deduction: utilize the rule library for new problems. 11-27% gain on reasoning tasks that require rule learning.
The paper "Large Language Models for Software Engineering: Survey and Open Problems"
is now on arXiv: https://t.co/Did6y2IIiG
Any comments and suggestions are welcome!!
“Ten years ago I was kicked out and forced to retire.”
Our new medicine laureate Katalin Karikó (@kkariko) told us how much it means to be awarded the Nobel Prize after a scientific career that has been full of challenges.
Ten years ago, Karikó was still doing all her experiments by hand but today she has been awarded the medicine prize for her research on mRNA, which led to the development of COVID-19 vaccines.
Listen now:
The deadline for SE4SafeML (Workshop on Dependability and Trustworthiness of Safety-Critical Systems with Machine Learned Components) is July 10th! Submit your work for presentation to the community.
More details on the workshop's website: https://t.co/PxKRNmjzoZ
Here are pictures from the two workshops I participated to at @ICSEconf . Some of my favorite people were there.
With hindsight, our community is not only much more diverse than what it used to be when I started, it is also much more friendly and pleasant to attend these events.
Our lab member Zhijie @paul_wzj will present our work on interactive ML model debugging at #CHI2023 , please check out the video and hook up with Zhijie during the conference for further discussion :-). This is joint work with Tianyi @tian_yi_zhang from Purdue University :-)
Thrilled to announce our presentation about interactive ML model debugging at 2:30 PM on Tuesday in Hall A #CHI2023 I will present paper “DeepSeer: Interactive RNN Explanation and Debugging via State Abstraction”
Paper: https://t.co/HTLzlm8oTd
Code: https://t.co/8B7YiChJ5s (1/6)
Our lab members Da and Zhijie will be presenting our latest work on interactive OoD data detection at #CHI2023. Don't miss the video and connect with them during the event for more discussion. This is joint work with Tianyi @tian_yi_zhang from Purdue University.
Ever wondered why your NLP model performs worse after deployment? Come see our presentation on “DeepLens: Interactive Out-of-distribution Data Detection in NLP Models” at 2:30 PM on Tuesday in Hall A #CHI2023
Paper: https://t.co/MzXIjj292m
Code: https://t.co/hRs8KM0EW8 (1/6)