Top Tweets for #dataCentricAI
ML models crashing? Stop tweaking code.
Data-centric AI + synthetic data FIXED my wildlife classifier (12% accuracy jump ).
Privacy-proof datasets that go viral.
#DataCentricAI #SyntheticData #AI

NeuroBlock started in 2023. We failed fast, learned faster, and focused on the foundation.
Huge thanks to @PcientificoUMH, @lanzaderaes and @ICEX_ for backing us through the pivots.
The journey is just beginning. ๐
#AI #NeuroBlock #BuildInPublic #Startup #GenAI #DataCentricAI
It was an incredibly rewarding experience to organize the last DATA-FM at ICLR 2025 in Singapore ๐ธ๐ฌ, and we are thrilled to bring the workshop back for another edition at ICLR 2026 in Brazil!!! ๐ง๐ท Submit your papers and participate! ๐โจ
#ICLR2026 #DataCentricAI
We are happy to announce the ๐๐ซ๐ ๐๐จ๐ซ๐ค๐ฌ๐ก๐จ๐ฉ ๐จ๐ง ๐๐๐ฏ๐ข๐ ๐๐ญ๐ข๐ง๐ ๐๐ง๐ ๐๐๐๐ซ๐๐ฌ๐ฌ๐ข๐ง๐ ๐๐๐ญ๐ ๐๐ซ๐จ๐๐ฅ๐๐ฆ๐ฌ ๐๐จ๐ซ ๐
๐จ๐ฎ๐ง๐๐๐ญ๐ข๐จ๐ง ๐๐จ๐๐๐ฅ๐ฌ (DATA-FM) at @iclr_conf 2026!
Despite being the cornerstone of frontier AI, data work is often undervalued as a purely engineering endeavor. This ICLR 2026 workshop is dedicated to data-centric approaches to foundation models, covering topics like data curation, attribution, copyright, privacy, fairness, safety, evaluation, and more.
๐ Submissions are ๐๐จ๐ฐ ๐๐ฉ๐๐ง! Check out our homepage to learn more and get ready to submit by Feb 6!
Workshop homepage: https://t.co/pj3eZhIwwZ
OpenReview portal: https://t.co/yEDG5otbZD

โ๏ธTravelling to #NeurIPS2025 in San Diego with my PhD students @FaisalHamman @yanjun_fu @BarprodaH. Looking forward to catching up with old and new friends! Reach out if you want to chat about #TrustworthyAI #Interpretability #Efficiency #DataCentricAI #InformationTheoreticMeasures #GroupSimilarityRewards #TabularLLM

#opentowork! I'm actively looking for PhD research #internship for #summer2026 and #fulltime starting 2026-2027. #DataCentricAI for #FoundationModel: Data Selection and Performance Prediction for pre-training, post-training (SFT,RL,reasoning,agents), synthetic data. Thx! :)
#opentowork! I'm actively looking for PhD research #internship for #summer2026 and #fulltime position starting 2026-2027. #DataCentricAI for #FoundationModel: <Data Selection> and < Performance Prediction> for pre-training, post-training (SFT,RL,reasoning,agents), synthetic data
ใAIใญใใใฃใฏใน้ ๅใธไบๆฅญๆกๅผตใ
VLA้็บใซไธๅฏๆฌ ใชโๅคง่ฆๆจกใใผใฟใฎ็็ฃโใๅฎ็พใใ
R&Dใปใณใฟใผใ่จญ็ซใใพใใ๏ผ
โ
ใญใใใ่ชฟ้ใใใผใฟ็ๆใพใงไธๆฐ้่ฒซใงๆฏๆด
โ
AIใญใใใ้็บใฎโ็ ็ฉถใใไบๆฅญๅโใๅ ้
ไปฃ่กจใป้ดๆจใฏ #RoboticsNextTokyo2025 ใง็ปๅฃ!
#Robotics #VLA #FastLabel #DataCentricAI
Bigger models โ better AI.
Better data = better AI.
The future belongs to enterprises that can rapidly create, customize & evaluate their data.
๐ฅ Snorkel co-founder Braden Hancock explains: https://t.co/RyFKKCF3Pq
#AI #LLMs #DataCentricAI
๐๐๐ @WuZhaoxuan @ZijianZhou524 @arun_v3rma @rus_daniel84837 @lululu0082 @JingtanW zitong @Dai_Zh et al.
https://t.co/Dkw3c6ky3C's first accepted papers @aclmeeting #ACL2025 #ACL2025NLP: #LLM #LLMs #AICopyright #DataCentricAI #Watermarking #SpeculativeDecoding #DataAttribution
How would the experience @aclmeeting #ACL2025 be different from that @emnlpmeeting #EMNLP2024?

Even ML models with similar accuracy can yield conflicting predictions โ a risk known as predictive multiplicity ๐ค
In our new paper w/ @PrzeBiec, we explore how balancing, filtering & data complexity drive this.
Read free until June 29:
https://t.co/oAhnMQzdT5
#DataCentricAI

๐๐๐ Ruth @qphong @_Hu_Wenyang @ZCODE0
@ray_qiaorui @JingtanW @PangWeiKoh et al.
Accepted @icmlconf #ICML2025: #DataValuation #DataCentricAI #DataSelection #LLM #LLMs #BayesianOptimization #FederatedLearning

ใ๏ธForbes JapanใJAPANโS AI 50 ๆฅๆฌ็บAIในใฟใผใใขใใ50้ธใใซ้ธๅบใใใพใใ๏ผ
ๅนณ็ด ใไธ่ฉฑใซใชใฃใฆใใใใๅฎขๆงใฏใใ้ขไฟ่
ใฎ็ๆงใธใใใใใฆๆ่ฌ็ณใไธใใพใใ
่จๅฟตใฆใงใใใผใ้ๅฌๆฑบๅฎ๏ผ่ฉณ็ดฐใฏโ
https://t.co/uwbKpaZlTD
#DatacentricAI #AIPaaS #Forbes
Is your classifier model underperforming?
Meet Reconstruction Error Ratios (RERs): your data quality detector that finds label errors & measures dataset difficultyโall without training a full classifier.
Read more: https://t.co/rKlW38KbHw
#AI #AIResearch #ML #DataCentricAI
New article!
On the scaling of digital twins by aggregation
๐ https://t.co/g7boEdpzup
By Marcelo Pias, @lwrncebull, Daniel S. Brennan, @TuringChiefSci and Jon Crowcroft
#AI #datacentricAI #digitaltwins #aggregation #systemsthinking #MachineLearning

Happy Holiday to all! Why not spend some of it exploring our #InspirationExchange archive of sessions on impactful AI & ML. Discover real progress in #AutoML, #DigitalTwins, #Causality, #LLMs, #SyntheticData, #DataCentricAI, & more. Also, sign up for 2025! https://t.co/03T511l826
๏ผ ๐ฃ AI้็บใใญใใฏใใFastLabelใใซใฆAD/ADAS้็บๅใใฎๆฐๆฉ่ฝใใชใชใผใน ๏ผ็น็พคใขใใใผใทใงใณๆฉ่ฝใฎ่ชๅๅใชใฉใๅฎ่ฃ
ใ่ชๅ้่ปขใซใใใAI้็บ็ฐๅขใฎๅน็ๅใ็ฎๆใ๏ผผ
https://t.co/dd9Gkar4u9
#FastLabelใ#AI้็บใ#DatacentricAIใ#AIใ#AIPaaSใ#ใขใใใผใทใงใณ่ชๅๅใ#็น็พคใ#ADใ#ADAS
'When is Off-Policy Evaluation (Reward Modeling) Useful in Contextual Bandits? A Data-Centric Perspective'
by Hao Sun, Alex James Chan, Nabeel Seedat, Alihan Hรผyรผk, Mihaela van der Schaar
Action Editor: Omar Rivasplata
https://t.co/d3jiP9z5uX
#DataCentricAI #OffPolicyEvaluation #ContextualBandits #RewardModeling
โจ A magical ending to an unforgettable day! โจ
Magician Alexander Boyce left us all in awe with his mind-bending magic at #SnorkelCon2024.
The perfect close to an incredible event full of innovation, connections, and nowโฆ a little magic! ๐ฉ๐ช
#AI #DataCentricAI #SnorkelCon
๏ผ ๐ฃ ใใใฝใใใฏHDใจFastLabelใใขใใใผใทใงใณใณในใใฎๅคงๅน
ๅๆธใจ้ซ็ฒพๅบฆๅใไธก็ซใใAI้็บๅน็ๅไธใซๅใใๅๆฅญใ้ๅง ๏ผผ
https://t.co/omPCozcMrn
@panasonic_corp
#FastLabel #AI้็บ #DatacentricAI #AI #AIPaaS #ใใใฝใใใฏHD #ๅๆฅญ #AI้็บๅน็ๅไธ
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