iiinova — where your digital self keeps evolving

Erica Chiang @ericachiang.bsky.social · 19/08/2026

Thanks to Grace Stanley for covering our work :) Our paper on personalized recommendations for students applying to NYC high schools (best student paper at EC ’26(!!)) is coming soon! Here's a quick preview... (1/5) news.cornell.edu/stories/2026...

t.co

https://news.cornell.edu/stories/2026/08/research-helps-nyc-students-aim-higher-public-high-school-applications

1114

Reposted by Erica Chiang

danivilardell.bsky.social @danivilardell.bsky.social · 03/06/2026

1/ Privacy-preserving credentials can prove you're over 18, but not much else. Our new research changes that. 𝜋Creds introduces verifiable credentials generated by trusted LLM inference over authenticated.

252

Reposted by Erica Chiang

Bryan Wilder @brwilder.bsky.social · 11/05/2026

Deploying algorithmic research in practice is an opaque process. We're organizing a workshop at EC to share behind-the-scenes stories and move the field foward. Call for submissions open! With @nkgarg.bsky.social @ericachiang.bsky.social, Bailey Flanigan sites.google.com/cornell.edu/...

sites.google.com

Home

About This workshop will focus on the practical realities of deploying algorithmic and economic systems from academic research, especially with government and non-profit partners. While economics and ...

0102

Reposted by Erica Chiang

Nikhil Garg @nkgarg.bsky.social · 11/05/2026

We are very excited to announce our first workshop on From Theory to Practice: behind the scenes on research deployments at EC’26 (July 6 in Rome)! Call for posters and submissions now open! Organized by myself, @ericachiang.bsky.social , Bailey Flanigan, @brwilder.bsky.social

sites.google.com

Home

0216

Erica Chiang @ericachiang.bsky.social · 15/04/2026

Excited to share this work, led by Kenny, on our vision for using language models to bring back a more exploratory internet experience. New essay and demo linked in Kenny’s thread :)

050

Reposted by Erica Chiang

Kenny Peng @kennypeng.bsky.social · 26/03/2026

Excited to share our new research demo, where you can freely traverse the world of Bluesky through 20,000 interconnected trails, spanning “analysis of fictional tropes” to “rotisserie chicken” to “zoning and land use policy.” Try it out, and let us know what you think!

skytrails.org

skytrails · 20,000 trails through Bluesky

Can we regain freedom of movement on social media? Browse Bluesky via interconnected trails.

6459

Reposted by Erica Chiang

Divya Shanmugam @dmshanmugam.bsky.social · 23/03/2026

New in Nature Health: how might we move towards a world in which race is not used in clinical algorithms? We need (1) careful comparison of race-aware and race-neutral algorithms and (2) systemic efforts to address underlying disparities.

1219

Reposted by Erica Chiang

Kenny Peng @kennypeng.bsky.social · 17/02/2026

New paper! The Linear Representation Hypothesis is a powerful intuition for how language models work, but lacks formalization. We give a mathematical framework in which we can ask and answer a basic question: how many features can be stored under the hypothesis? 🧵 arxiv.org/abs/2602.11246

14514

Reposted by Erica Chiang

Sophie Greenwood @sjgreenwood.bsky.social · 14/01/2026

Excited to present a new preprint with @nkgarg.bsky.social: presenting usage statistics and observational findings from Paper Skygest in the first six months of deployment! 🎉📜 arxiv.org/abs/2601.04253

417150

Reposted by Erica Chiang

Divya Shanmugam @dmshanmugam.bsky.social · 17/10/2025

New #NeurIPS2025 paper: how should we evaluate machine learning models without a large, labeled dataset? We introduce Semi-Supervised Model Evaluation (SSME), which uses labeled and unlabeled data to estimate performance! We find SSME is far more accurate than standard methods.

1217

Erica Chiang @ericachiang.bsky.social · 14/10/2025

selfishly i wish we could keep divya in our lab forever but i guess it would be a disservice to the rest of the world 😅 she’s been such a wonderful mentor to me—i’ve learned a lot from how thoughtful, creative, and knowledgeable she is about everything. she’s also super funny and amazing at baking 🤭

161

Erica Chiang @ericachiang.bsky.social · 27/06/2025

I can’t believe I’m saying this: our work received a Best Paper Award at #CHIL2025!! So so excited and grateful 🥰 Looking forward to day 2 of the conference with these awesome people :)

1172

Reposted by Erica Chiang

Nikhil Garg @nkgarg.bsky.social · 16/06/2025

I wrote about science cuts and my family's immigration story as part of The McClintock Letters organized by @cornellasap.bsky.social. Haven't yet placed it in a Houston-based newspaper but hopefully it's useful here gargnikhil.com/posts/202506...

gargnikhil.com

Science and immigration cuts · Nikhil Garg

2266

Reposted by Erica Chiang

Divya Shanmugam @dmshanmugam.bsky.social · 14/06/2025

New work 🎉: conformal classifiers return sets of classes for each example, with a probabilistic guarantee the true class is included. But these sets can be too large to be useful. In our #CVPR2025 paper, we propose a method to make them more compact without sacrificing coverage.

A gif explaining the value of test-time augmentation to conformal classification. The video begins with an illustration of TTA reducing the size of the predicted set of classes for a dog image, and goes on to explain that this is because TTA promotes the true class's predicted probability to be higher, even when it's predicted to be unlikely.

3226

Erica Chiang @ericachiang.bsky.social · 01/05/2025

I’m really excited to share the first paper of my PhD, “Learning Disease Progression Models That Capture Health Disparities” (accepted at #CHIL2025)! ✨ 1/ 📄: arxiv.org/abs/2412.16406

33610

Reposted by Erica Chiang

Emma Pierson @emmapierson.bsky.social · 25/04/2025

The US government recently flagged my scientific grant in its "woke DEI database". Many people have asked me what I will do. My answer today in Nature. We will not be cowed. We will keep using AI to build a fairer, healthier world. www.nature.com/articles/d41...

nature.com

My ‘woke DEI’ grant has been flagged for scrutiny. Where do I go from here?

My work in making artificial intelligence fair has been noticed by US officials intent on ending ‘class warfare propaganda’.

13813

Erica Chiang @ericachiang.bsky.social · 02/04/2025

check out the findings from our #dogathon 😍🐶 !!

070

Reposted by Erica Chiang

Gabriel Agostini @gsagostini.bsky.social · 28/03/2025

Migration data lets us study responses to environmental disasters, social change patterns, policy impacts, etc. But public data is too coarse, obscuring these important phenomena! We build MIGRATE: a dataset of yearly flows between 47 billion pairs of US Census Block Groups. 1/5

54118

Reposted by Erica Chiang

hal @harold.bsky.social · 18/03/2025

Excited to announce a new preprint from my lab (with @rishi-jha.bsky.social and Vitaly Shmatikov; my first as a first author!) about severe security vulnerabilities in LLM-based multi-agent systems: “Multi-Agent Systems Execute Arbitrary Malicious Code” arxiv.org/abs/2503.12188 1/12

A screenshot of the abstract of the paper, detailing our findings that several multi-agent frameworks can be hijacked to enable a complete security breach.

182

Reposted by Erica Chiang

Kenny Peng @kennypeng.bsky.social · 18/03/2025

(1/n) New paper/code! Sparse Autoencoders for Hypothesis Generation HypotheSAEs generates interpretable features of text data that predict a target variable: What features predict clicks from headlines / party from congressional speech / rating from Yelp review? arxiv.org/abs/2502.04382

1145

Reposted by Erica Chiang

Raj Movva @rajmovva.bsky.social · 18/03/2025

💡New preprint & Python package: We use sparse autoencoders to generate hypotheses from large text datasets. Our method, HypotheSAEs, produces interpretable text features that predict a target variable, e.g. features in news headlines that predict engagement. 🧵1/

14013

Reposted by Erica Chiang

Sophie Greenwood @sjgreenwood.bsky.social · 10/03/2025

Please repost to get the word out! @nkgarg.bsky.social and I are excited to present a personalized feed for academics! It shows posts about papers from accounts you’re following bsky.app/profile/pape...

8171118

Reposted by Erica Chiang

Sophie Greenwood @sjgreenwood.bsky.social · 11/12/2024

I'm excited to use my first post here to introduce the first paper of my PhD, "User-item fairness tradeoffs in recommendations" (NeurIPS 2024)! This is joint work with Sudalakshmee Chiniah and my advisor @nkgarg.bsky.social Description/links below: 1/

1142