Fei Sha Profile
Fei Sha

@feishaAI

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2K
Following
300
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Statuses
629

Researcher and engineers in AI and ML; now at Google Research, formerly Professor at USC

Cambridge, MA
Joined February 2009
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@feishaAI
Fei Sha
1 month
RT @geoffreyhinton: I just watched a great compilation of various people's views about what is coming:.
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@feishaAI
Fei Sha
2 months
a scholastically deep talk at @iclr_conf workshop, by @Yoshua_Bengio on designing Scientist AI (honest, non-agentic AI) as a safe building block and guardrail for agentic AI (a talk with similar contents at @SimonsInstitute :
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@feishaAI
Fei Sha
3 months
RT @iclr_conf: Announcing the Test of Time awards for ICLR 2025! This award recognizes papers published ten years ago at ICLR 2015 that hav….
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@feishaAI
Fei Sha
4 months
RT @linluqiu: LLMs are increasingly used as agents that interact with users. To do so successfully, LLMs need to form beliefs and update th….
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@feishaAI
Fei Sha
4 months
Vladimir Vapnik once said "Nothing is more practical than a good theory." He also introduced the concept of privileged information in his book The Nature of Statistical Learning Theory. Glad to see it inspired this work. A great pleasure working with you, @JinPZhou !.
@JinPZhou
Jin Zhou
4 months
LLM-as-a-Judge is very popular for automatic LLM evaluation. A natural question is: How can we trust LLM to grade themselves on tasks they don’t master yet?. Excited to share our recent work where we let graders "cheat" by using privileged information 🧵👇
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@feishaAI
Fei Sha
4 months
RT @vansteenkiste_s: Our team @GoogleAI is hiring an intern. We are interested in having LMs understand and respond to users better. Topics….
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@feishaAI
Fei Sha
6 months
Hear hear , cheers !.
@DavidAgus
David Agus
6 months
I am not advising anyone to drink alcohol, but the long term effects of alcohol aren't settled science, and shouldn't be presented as such.
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@feishaAI
Fei Sha
7 months
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@feishaAI
Fei Sha
1 year
RT @wellingmax: I sooo much agree with this. Academic jobs require juggling too many balls with barely any support (grant writing, teaching….
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@feishaAI
Fei Sha
1 year
RT @ISTAustria: Don't miss the Future of Machine Learning Symposium on July 19, 2024 at @ISTAustria! Join leading experts to explore advanc….
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@feishaAI
Fei Sha
1 year
RT @thegruel: Are you planning to attend #ICML2024 in Vienna? Why not come two days earlier and attend the Symposium "The Future of Machine….
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@feishaAI
Fei Sha
1 year
congratulations to my former student @weilunchao , who started working on zero/few-shot learning on visual recognition during his PhD time, with other members from the lab (@BoqingGo @schangpi ).
@ysu_nlp
Yu Su
1 year
Honored to receive the Best Student Paper Award from #CVPR2024!! It’s @samstevens6860 and Lisa’s very first lead work in their PhD. Super glad for the recognition of their work! Also congrats to all the amazing collaborators and support from the NSF @imageomics institute!.
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@feishaAI
Fei Sha
1 year
RT @tallinzen: On Tuesday, 10:12 am at "Don Alberto 1" at #naacl2024 @tiwa_eisape will present his Google student researcher project where….
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@feishaAI
Fei Sha
1 year
this is hilarious. yet painfully resonating.
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@feishaAI
Fei Sha
1 year
many thanks to my wonderful coauthors: Lizao Li, Rob Carver( @wundersooner ), Ignacio Lopez-Gomez, and John Anderson on this impactful interdisciplinary work.
@GoogleAI
Google AI
1 year
Introducing SEEDS, our newest generative AI technology that advances medium-range weather forecasting. We can now generate ensemble forecasts more efficiently, helping us better predict rare and extreme weather events. 🌩️ #WeatherForecasting Learn more at
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@feishaAI
Fei Sha
1 year
"rain supreme" ☔️.
@JeffDean
Jeff Dean
1 year
Through the use of very efficient sampling methods enabled by a new Scalable Ensemble Envelope Diffusion Sampler (SEEDS) technique, neural nets now rain supreme in medium-range weather forecasting, and in particular can more accurately predict extreme weather events at longer.
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@feishaAI
Fei Sha
2 years
An exciting opportunity !.
@tallinzen
Tal Linzen
2 years
.@vansteenkiste_s and I are recruiting a Google Student Researcher to work on evaluating language model reasoning from a cognitive perspective. If interested, please fill out this form (which also has some more details on this position)!
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@feishaAI
Fei Sha
2 years
Please come to our poster #603 at neurips2023 Dec 14 afternoon to discuss how generative models can be used for turbulence modeling !.
@bloopsie
Anudhyan Boral
2 years
If you're at NeurIPS this year, come check out our work on modeling turbulence with probabilistic generative models! (Find us at the poster session today 12/14 at 5pm). A short thread 🧵(1/N):.
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@feishaAI
Fei Sha
2 years
I am super excited in taking part of this interesting work on understanding difference between human and LLMs in logical reasoning. Great experience in working with cognitive scientists @tiwa_eisape Ishita Dasgupta @mhtessler @tallinzen along with @vansteenkiste_s !.
@tallinzen
Tal Linzen
2 years
Humans make systematic errors in logical reasoning. Do language models, which are trained on text produced by humans, replicate human reasoning biases? We find that LLMs overcome some syllogistic reasoning biases, but other biases persist even in the largest models we tested!.
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@feishaAI
Fei Sha
2 years
RT @LesterMackey: If you're a PhD student interested in interning with me or one of my amazing colleagues at Microsoft Research New England….
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