Research Associate Professor, USC Director, Center for Useful Techniques Enhancing Language Applications Based on Natural And Meaningful Evidence
Joined January 2009
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Jon May retweeted
Our work “Are We Automating the Joy Out of Work? Designing AI to Augment Work, Not Meaning” was presented @TEDxBerlin1✨
tldr; AI is targeting the parts of our jobs we love the most. We’re not heading toward mass unemployment, rather mass demoralization
📄arxiv.org/abs/2603.14963
Everyone fears AI will replace us. After 3 studies, I fear something quieter: it takes the imaginative parts of our jobs and leaves the admin. Not mass unemployment , mass demoralization. When AI reshapes your work, will you still recognize yourself?
@TEDxBerlin1 #TEDxBerlin
I'm sure my retweet will double the traffic that @sunjiao123sun_ got from @JeffDean's but independent of that I'm very proud of your tireless efforts to really make these things work!
In the past two months, our small Webapp Coding team have been cooking hard to make Gemini great at WedDev, and we are thrilled to claim the 👑!
Yes, we saw your enthusiasm — pelican riding a bike, game controller, please keep trying and sending your best WebDev prompts to our the way! We love them!
Besides Webdev Arena, we also achieved #1 on Design Arena across categories: website gen, game gen, ui component gen etc!
Website lovers, designers, we can’t wait to hear your feedback!
Alex is great; if you're into NLP and computational journalism you should definitely work with him! Also my experiences in Minneapolis have been very positive.
Jon May retweeted
Proud to collaborate with @soshsihao , @muhao_chen , @jonathanmay , @ylongqi , @mengtingwan, @peizNLP：）
Let’s push LLMs beyond clarifying what’s said, but toward discovering what’s not yet considered.
#LLM #AI #RL #ConversationalAI #Microsoft #NLPResearch
great work by my student Katy. Hire her!
📢 New Preprint! 📢
arxiv.org/abs/2510.07662
TL;DR: textual entailment and token probability behave very differently as bias evaluation metrics, even on the exact same bias definitions.
Also, I'm looking for summer 2026 research internships in responsible AI - please reach out!
I'm very proud to present @tenghaohuang45's work at ACL. Come say hi!
🎉 Excited to share our ACL 2025 paper:
🤖R2D2: Remembering, Replaying and Dynamic Decision Making with a Reflective Agentic Memory 🧠
📄 Paper: arxiv.org/abs/2501.12485
📍Poster: Hall 4/5, Session 4 Wednesday, July 30 11:00-12:30
🧵👇
Jon May retweeted
🎉 Excited to share our ACL 2025 paper:
🤖R2D2: Remembering, Replaying and Dynamic Decision Making with a Reflective Agentic Memory 🧠
📄 Paper: arxiv.org/abs/2501.12485
📍Poster: Hall 4/5, Session 4 Wednesday, July 30 11:00-12:30
🧵👇
Excited to support cool mime work by @HJCH0 @_Tejas_S_ @Spen_Lin @m2saxon @deuksinkwon and Natalie Chavez! See us at ACL (Findings)
Jon May retweeted
new favorite thing alert xitter.cf/PizzaAtMcDs/status/774…
Jon May retweeted
1/12 We are happy to announce the release of our language models for optimizing small organic molecules. Built on top of Galactica and Gemma, they come in three sizes: Chemlactica-125M, Chemlactica-1.3B, and Chemma-2B. The preprint is on arxiv: arxiv.org/abs/2407.18897
Jon May retweeted
That's a wrap! Let's chat at the conference if you're interested to learn more or discuss next steps in this line of work. Come find me and say hi at the poster session from 2-3:30PM today 👋
🙌This work was done with my amazing collaborators across USC and USC ISI: Shuai Liu, @taiwei_shi, @FunnyFriedDerp, Basem Rizk, Yuyang Huang, Zixun Lu, Nuan Wen, Jonathan Gratch, @emilio__ferrara, and @jonathanmay.
Paper: aclanthology.org/2024.naacl-…
Project page: justin-cho.com/convmod
Video presentation: youtu.be/AdRvTkctCcI?si=VibU…
Due 4/30! Apply now! NAACL RAF is now accepting proposals for 2024--2025! Grants are available for NLP/CompLing initiatives across the Americas. forms.gle/gBDWyKv55L7JEQtr9… Please help spread the word! #NLProc #ACL2024
@naaclmeeting
@naacl
Jon May retweeted
Our repo has been re-available now:
github.com/XuezheMax/megalod…
How to enjoy the best of both worlds of efficient training (less communication and computation) and inference (constant KV-cache)?
We introduce a new efficient architecture for long-context modeling – Megalodon that supports unlimited context length. In a controlled head-to-head comparison with Llama2, Megalodon achieves better efficiency and accuracy than Transformer in the scale of 7B and 2T training tokens.
Jon May retweeted
I had a great time chatting with ISI's Director of the AI division Adam Russell, sharing my thoughts on AI and what interests me in this rapidly changing field! Check out episodes of AI/nsiders to learn about people at ISI!
AI/nsiders, ISI's podcast, is hosted by AI Division Director Adam Russell. In this week's episode,
In this week's episode, @HJCH0 , a Research Assistant at ISI, explains why he’d consider himself a “global citizen.”
Listen here: bit.ly/49ALjdy
ALT Announcement for AI/nsiders podcast episode featuring Justin Cho. Title: The talk around AI replacing us is the most misunderstood concept in AI
Jon May retweeted
Wonderful collaborations with @MaxMa1987, @_xiaomengy_, @XiongWenhan, @BeidiChen, @liliyu_lili, @haozhangml, @jonathanmay, @LukeZettlemoyer and @omerlevy_.
Paper: arxiv.org/abs/2404.08801
Jon May retweeted
Thanks for sharing our work!
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length
abs: arxiv.org/abs/2404.08801
repo: github.com/XuezheMax/megalod…
