Ge Gao

Research Scientist @GoogleDeepMind
Prev @Cornell @uwnlp

[Jack Morris @jxmnop]

finally sharing what i've been up to! left phd end of 2025 and co-founded Engram.

there are a few startups in SF right making very different bets on the right way to train AI models. this is ours:

people want models that learn over time, remember details, adapt and interact like a person would

everyone gets a model. your model updates ~every minute. this is the world we're building. :)

[Emma Pierson @2plus2make5]

New piece in @TheAtlantic!

We always hear that AI will cure cancer, and I would immediately benefit if it did. But I argue that racing ahead on generalist AI models creates unclear benefits for cancer that are outweighed by broader societal harms.

(Gift link in next post)

[Zhaofeng Wu @ ACL @zhaofeng_wu]

Introducing ><former

Most transformers are rectangles◻️: every layer has the same width

But is that optimal?🤔

We propose variable-width transformers that have different widths across layers, improving loss while cutting compute & KV cache size 🧵

[Alisa Liu @alisawuffles]

I'm joining OpenAI next week!🥹 The job search turned out to be really challenging but also super rewarding, so I wrote a small blog to share what I learned along the way and hopefully make the process a little less mysterious for the next person. https://t.co/6FigSBdenD

[Mohit Iyyer @MohitIyyer]

Base models generate more diverse responses than their post-trained counterparts but are also much worse at instruction following. We recover diversity with a simple recipe: the instruct model rewrites messy base generations into high-quality responses, and we then run DPO with this synthetic data. The resulting model is more diverse without sacrificing instruction following! Details 👇

[Danqi Chen @danqi_chen]

Hooded six PhD students yesterday, my very first cohort at Princeton: Zexuan Zhong (@ZexuanZhong, 2024), Dan Friedman (@danfriedman0, 2025), Howard Chen (@__howardchen, 2025), Mengzhou Xia (@xiamengzhou, 2025), Tianyu Gao (@gaotianyu1350, 2025), and Alex Wettig (@_awettig, 2026)!

They started their PhD at the beginning of the pandemic and lived through one of the most revolutionary stretches our field has ever seen. Their work has shaped how we think about language models today. So proud of them, and can't wait to see what they do next!

[rishi @ ICML @RishiBommasani]

AI is changing how employers hire workers.

Today we are publishing our research over the past four years into this high-stakes application of AI.

We independently studied the impacts of deployed AI hiring tools based on the real outcomes for 3.3 million people.

[Taiwei Shi @taiwei_shi]

For decades, we’ve trained AI to chase rewards. But humans don’t just optimize outcomes. We experience, reflect, then learn.

Can AI do the same?

Introducing 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐭𝐢𝐚𝐥 𝐑𝐞𝐢𝐧𝐟𝐨𝐫𝐜𝐞𝐦𝐞𝐧𝐭 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, a step toward AI that truly learn from experience.

[Siyan Sylvia Li ☀️ ACL 2026 @Sylvia_Sparkle]

Super duper excited to announce that I'll be at @togethercompute this summer starting on May 18th, working on 🎓 Agents for Education 🎓!!! Please hmu if you're in SF and we can party 🎉🎉🎉🥂🥂🥂

[Liwei Jiang @liweijianglw]

Another call for submissions to the Human-AI Co-Creativity Workshop @ ICML 2026!

The deadline has been extended to 💚💚May 8💚💚, and we warmly welcome submissions of papers that are also being submitted to other conferences, such as NeurIPS. We would love to see your work at the workshop!

[Omar Khattab @lateinteraction]

I’ve never been this excited about search.

6-7 years ago, IR got an influx of the paradigms we still use, all enabled by the big headroom MS MARCO and then BEIR created. Then progress slowed.

Today, Diane releases perhaps the most ambitious IR benchmark to date: OBLIQ-Bench.

Queries in it are meant to be increasingly opaque to current first-stage retrieval paradigms. Oblique queries put the bottleneck very early in the search process, as the relevance of a document to the query is quite latent.

I can't wait for core IR research on fundamentally more powerful paradigms for first-stage search to be reignited again. Stay tuned for more stories about this, and read Diane's thread and her paper below!!

[Srini Iyer @sriniiyer88]

Extremely excited about our work on Compute Optimal Tokenization! This paper categorically nails down the role that compression plays in compute optimality and recommends how to scale models keeping compression in mind. Cool results on multiple languages too!

[Jonathan Chang @j_nadan_chang]

We just released KARL — a knowledge agent trained with reinforcement learning that beats Claude Opus 4.6 and GPT-5.2 on enterprise search, at a fraction of the cost and latency.

🧵

[Kotoba @kotoba_tech]

AI同時通訳の体験が、また大きく進化しました。

Kotoba Techの音声基盤モデル「Koto v1.0」を「同時通訳」アプリにリリースしました🚀 、スマホ一台でポケットの中にパーソナルな同時通訳者がいるような体験に近づいています。

Kotoは音声をテキストを介さずに直接音声に翻訳するend-to-endというコンセプトで開発された生成AIモデルで、非常に低遅延で高精度な同時通訳体験を提供することができます。 今回のアップデートでは特に英語から日本語の性能が大幅に向上し、Kotoba社のベンチマーク上では精度が50％以上の向上が見られ、遅延も平均で1秒以上短縮されました。

「同時通訳」アプリを使うことで、スマホ一台でますます皆様のポケットに専属の同時通訳がいるような体験を味わうことが可能です。 「同時通訳」は無料でお試しいただけ、有料プランの前に追加で3日間の無料トライアルを行うことができます。Kotoが皆様のパーソナル同時通訳としてお力になれる事を願っています。

[Sherry Tongshuang Wu @tongshuangwu]

Come join us! 2-year Postdoc opportunity at CMU's AI-Human Research Center on how LLMs can train workers in social skills across different envs. You'll work with Haiyi Zhu, Bob Kraut, Yi-Chia Wang, myself at CMU, and Diyi Yang at Stanford.
Apply here! https://t.co/AqJi3Jg6Vr

[Kaitlyn Zhou @KaitlynZhou]

Internship opportunity! Please share!

📣 I'm looking to hire an intern in human-centered NLP for the agents team @togethercompute. Come work on frontier AI systems that tackle complex agentic tasks!

Research direction is open and looking to publish in NLP and HCI venues

[Kotoba @kotoba_tech]

We just shipped a test release of EN → ZH real-time speech-to-speech translation.
Built with our SOTA S2S model koto-v1 🧠⚡
Try it free on the "Kotoba" app — now live on iOS & Android.
Language barriers are disappearing. 🌏🔥

📱iOS | 🤖 Android: https://t.co/Faa3EnPmq1

#AI #SpeechAI #Translation #Kotoba

[Guohao Li 🐫 @guohao_li]

Anthropic Claude Cowork just killed our startup product 😅 So we did the most rational thing: open-sourced it.

Meet Eigent 👉 https://t.co/R82WRFoh41

[Kotoba @kotoba_tech]

Kotobaアプリが言語の壁を吹っ飛ばす。 音声から音声へ、限りなくゼロに近い遅延で同時通訳。

今すぐ無料トライアル
👉https://t.co/P2bU6JcvTS
#同時通訳 #AI翻訳 #CES2026

[Jonathan Frankle @jefrankle]

I'm hiring interns for next summer at @databricks! Specifically on (1) empirical RL at scale on non-verifiable tasks and (2) enabling real people specify the behaviors they want out of AI (e.g., through evals) on highly complex tasks. 🧵