Lisa Bauer

Applied Scientist at Amazon. Former PhD student at @uncnlp. She/her. Opinions are my own.

[Ninareh Mehrabi @NinarehMehrabi]

As many of you might already know, I had this dream to become a faculty. Unfortunately, that did not happen, so instead I decided to create my own lab kind of a thing.

I am trying to start working with some students (PhD, masters, undergrad are all welcome) and mentor them.

[Krithika Ramesh @stolenpyjak]

I'll be presenting our work "Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains" at EMNLP 2024 (Findings)!
Paper: https://t.co/FFqEQFV0DD

[Lisa Bauer @lbauer119]

Was great to collaborate on this work with @stolenpyjak & team!

[JHU CLSP @jhuclsp]

“Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains”
@stolenpyjak, @nupoor_gandhi, @madPulsAr,@lbauer119, Charith Peris, @anjalie_f
https://t.co/FjxXhq2q4N

[Ninareh Mehrabi @NinarehMehrabi]

🚨New preprint🚨

We propose FLIRT: Feedback Loop In-context Red Teaming that uses in-context learning in a feedback loop to red team a target model. FLIRT updates its in-context examples based on the output generated by the target model and feedback received from a classifier.

[Swarnadeep Saha @swarnaNLP]

🥳 🥳 I am honored to receive the 2022 @Google Ph.D. Fellowship in #NLProc! I want to take this opportunity to thank my advisor @mohitban47 for all his support and guidance, my labmates at @uncnlp @unccs, prior mentors (@mishumausam & internship advisors), and past collaborators.

[Mohit Bansal @mohitban47]

🎉🎓Congrats to awesome new+old graduates: PhDs @lbauer119 @khsquared @jayleicn @easonnie (+@haotan5 who graduated last yr w. @ramakanth1729, but was able to join us at @unccs this summer) & undergrad @EvaHuyn! Was fun to attend in-person hooding + celebration + photo sessions😀

[ACL Mentorship @aclmentorship]

🎉Excited to call for applications to ACL Year-Round Mentorship 2022! Welcome all #NLProc students worldwide to apply as mentees https://t.co/jmUJwcS07N
*We are inspired by mentoring sessions at @aclmeeting @emnlpmeeting @naaclmeeting and try to extend it to all year round🥰! /1

[MMitchell @mmitchell_ai]

Checking out the @OpenAI #dalle2 system card & seeing examples of homogenous people? Check out the project me & others did years ago to exactly address the issue. We even use the same "construction workers" as an example 🥰 (Fig 1)
https://t.co/ltLDU4m3RO
https://t.co/Zfrt5XE2Wl

[Jaemin Cho @ ICML 2026 🇰🇷 @jmin__cho]

Glad to be part of this red teaming effort & help evaluate potential risks & limitations of powerful text-to-image generation models such as DALLE-2 — check out this detailed “system card”: https://t.co/fsef4Zm2dW

cc. @AbhayZala7 @mohitban47 @Miles_Brundage @_lamaahmad @jmhessel

[ACL Mentorship @aclmentorship]

📢7th ACL mentoring session: How to become a professor📢

⏲️April 6, 17-18 UTC / 1-2pm EST⏲️

Mentors:
▶️Yezhou Yang (Arizona State University) @Yezhou_Yang
▶️Kiran Garimella (Rutgers University) @gvrkiran
▶️Laura Burdick (University of Michigan)

See you soon!

[Yichen Jiang @YichenJiang9]

Happy and honored to receive the 2022 Apple Scholar in AI/ML PhD Fellowship! Big thanks to my advisor @mohitban47 for all the support & mentorship. This award is not possible without the help from my labmates at @uncnlp, collaborators, & mentors, from whom I learned a great deal!

[Shiyue Zhang @byryuer]

I am very honored to receive a @Bloomberg Data Science Ph.D. Fellowship!

Many thanks to my advisor @mohitban47 for all the support and guidance I received. I’d also like to thank all my labmates @uncnlp, collaborators, and mentors for their help all along!

[Lisa Bauer @lbauer119]

We conclude that current LMs do not truly understand what content they consume is biased & how it is biased & we hope this will encourage future work on enhanced self-supervision during pre-training toward building LMs that are aware and adept at handling bias.

[Lisa Bauer @lbauer119]

Excited to share our new work: "Analyzing the Limits of Self-Supervision in Handling Bias in Language"!
(diagnosis, identification, extraction, rephrasing)

Paper: https://t.co/6P8YQFcAor

w. karthik_g @gspandana yangliu @mohitban47 @dilekhakkanitur
(@amazonscience @uncnlp)

[Lisa Bauer @lbauer119]

We find that LMs are capable of performing these tasks to widely varying degrees for different types of bias. We observe internal model biases & tasks with high description sensitivity, tasks where descriptions are not useful, and tasks that models struggle on.

[Bashima Islam @BashimaI]

It’s an honor to get selected for Forbes 30 under 30 (Science). #ForbesUnder30 #BatterylessComputing
https://t.co/Nv3lt8yIiU

[UNC Computer Science @unccs]

Congratulations to @PeterBHase (PhD student in @uncnlp group) on receiving the prestigious @GoogleAI PhD Fellowship for his work in #NLProc and #XAI #AIsafety

Article: https://t.co/kQwGwGhiD6

@UNCResearch @unccollege @UNC

[Shruti Rijhwani @shrutirij]

Incredibly honored to be recognized on the 2022
@Forbes 30 under 30 list in Science!

✨*HUGE* thanks to my collaborators and mentors,
@mulix, @anas_ant, @gneubig
✨More about my recent work: https://t.co/Qbum8a2qvL

@ForbesUnder30 #ForbesUnder30

https://t.co/xfdWhMffXP