Top Tweets for #iclr26
🎉 Our #ICLR26 paper on efficient probing (EP) now has a home that outlives the paper.
⏱️ Probing Frozen Encoders — a standing ImageNet-1k benchmark for k-NN, linear (LP) and efficient probing (EP).
Built to stay. Issues and PRs welcome 👇
https://t.co/g2WAa2qYS8
Check out the power of MMDAgg and MMDFuse to "Catch, Adapt, and Operate: Monitoring ML Models Under Drift"
#ICLR26 Workshop 🦾🚀
Optimized MMD for Detecting Distribution Shift!
Video:
https://t.co/bTJ0ZkU0zU
and slides
https://t.co/thNvTmjUz9
from the #ICLR26 workshop
https://t.co/WpUCAtJQPO
Covers:
https://t.co/x6syFYarxL
and
https://t.co/OBhBLVwNHc
Optimized MMD for Detecting Distribution Shift!
Video:
https://t.co/bTJ0ZkU0zU
and slides
https://t.co/thNvTmjUz9
from the #ICLR26 workshop
https://t.co/WpUCAtJQPO
Covers:
https://t.co/x6syFYarxL
and
https://t.co/OBhBLVwNHc
Just made a contributed talk on https://t.co/VxP25T0ZoY @ ICLR'26. 🇧🇷
If you are interested in mobile GUI agents' safety, please kindly check our work https://t.co/nrCCUen0dl
#ICLR26
Talk on Optimized MMD for Detecting Distribution Shift
at the #ICLR26 workshop:
https://t.co/WpUCAtJQPO
on 26 April, 11:15am
... covering the last two MMD papers you'll ever need!
https://t.co/OBhBLVwNHc
https://t.co/5bIC4zN6Lb
リオデジャネイロ 🇧🇷 に到着しました！
日本から4回飛行機に乗ったおかげで耳が全く機能しておりません笑
明日は #ICLR26 #AgentsInTheWild でソフトウェア監査AI「SPECA」についてポスター発表します！
https://t.co/OjT6thD1VD
Check out our #ICLR26 Oral paper PhyWorldBench this Saturday!
🗣️ Oral (Session 5B): 11:30 AM, Room 201 A/B
📷 Poster (Session 6): 3:15 PM, Pavilion 4 (#4703)
PhyWorldBench will be presented as an ORAL at ICLR this Saturday.
🗣️ Oral (Session 5B): 11:30 AM, Room 201 A/B
📍 Poster (Session 6): 3:15 PM, Pavilion 4, Poster #4703
I won’t be there in person—our co-author Ashwin Nagarajan will be presenting. Feel free to stop by and discuss!
We introduce a benchmark for evaluating physical realism in text-to-video models, including anti-physics cases, human + MLLM evaluation, and analysis across 12 SOTA models.
🔗 Resources
• Paper: https://t.co/76qLo1Rril
• Webpage: https://t.co/yOxV5N7LzX
• Code: https://t.co/xuMFGs27tX
I’ll be at Rio for #ICLR26, presenting a poster on Saturday on how RL after next-token prediction facilitates learning. DM or email me if you want to chat about ML theory or LLMs.
Join us for our poster session today!
🗓 Friday, April 24, 2026
⏰ 3:15 PM – 5:45 PM
📍 Pavilion 3
📌 Poster #1813
#ICLR26
We just released Nemotron-CC-Math 🚀
Equations on web aren’t just LaTeX-they’re in MathML,<pre> tags,inline,even images.Code shows up just as many ways. Most parsers drop it.
Nemotron-CC-Math(133B tokens) reprocesses CommonCrawl math pages to capture math equations +code reliably
Qingni will present our SAFER paper at #ICLR26! LLM predictions with statistically rigorous trustworthiness guarantees.
She is one of the best interns ever in the lab and will join @ucsbNLP this fall as a PhD student. 🥳
Excited to share that I’ll be presenting SAFER at #ICLR2026 🇧🇷 🎊
✨ SAFER is a two-stage risk control framework for open-ended QA with LLMs.
Our goal is to move beyond heuristic uncertainty estimates toward statistically rigorous trustworthiness guarantees.
Specifically, we introduce:
• Abstention-aware Sampling, which calibrates the minimum sampling budget needed to satisfy a user-specified risk level.
• Conformalized Filtering, which removes unreliable candidates while preserving coverage guarantees.
Together, SAFER provides controllable miscoverage risk in open-ended generation and takes a step toward more trustworthy LLM deployment.
📌 Poster Session: April 24, 2026 | 3:15–5:45 PM BRT
📍 Pavilion 3, Poster P3-#1806
Authors: @Ceeqnn @YFan_UCSC @xwang_lk
I’ll be presenting the poster — feel free to stop by and chat if you’re around.
Looking forward to discussions at ICLR!
Learn to guide your diffusion model!
At #ICLR26 Tuesday 23 April, Poster Session 2!
@agalashov @ashwini1024 @ArnaudDoucet1 @2ptmvd @ValentinDeBort1
Hello from #ICLR26! Looking forward to exciting workshops, papers, & connections. https://t.co/bCqrqZ7XEM
I am attending #ICLR26 and will present two papers tomorrow (23 April) for our work at MSL and FAIR:
1. MENLO: https://t.co/1tIocoftdL with @seb_ruder
2. J1: https://t.co/xkxK2jCbHv, presenting with @swarnaNLP
Looking forward!
🚨 New paper!
🌎 MENLO: From Preferences to Proficiency
We introduce a framework + dataset for evaluating and modeling native-like LLM response quality across 47 languages, inspired by audience design principles.
📄 Paper: https://t.co/n8Z2cDJm5a
🤗 Data: https://t.co/fzM6Um32nD
🧵Details 👇
Although I cannot attend #ICLR26 in person, feel free to post any questions via the ICLR online chat or send me emails about our mechanistic context attribution work. Huge thanks to our collaborators: Chen Chen, @YuchenHu98, @Serena_pancakes, @wangxieric and Prof Emine Yilmaz
At #ICLR26 this week—presenting 2 papers, plus workshops & panels 🇧🇷
Hiring for automated interpretability:
-postdocs
-RAs
-recruiting PhDs for next cycle
-and looking for visiting students in interpretability & AI safety
come say Hi 👋
All paper links
Celo2: https://t.co/Zok2qfYnyn
Celo (its predecessor): https://t.co/7jk0T1S2CI
I'll also be presenting these two papers at #ICLR26 main track in 3 weeks at Rio de Janeiro, Brazil🇧🇷feel free to reach out if you'd like to chat more in-person!
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