🗓️ SwissText 2026 keynote speakers announced & registration open! We are delighted to welcome Prof. Dr. Alexandra Birch and Dr. Valentina Pyatkin as our keynote speakers. 📋 Register here: ema.uzh.ch/RHK4W Early-bird rates available throughout April, with additional student discounts. #NLProc 1/3

SwissText 2026

10. Juni 2026 | UZH Campus Oerlikon

ema.uzh.ch

Excited to have the Big Picture workshop back for another iteration this year at @aclmeeting.bsky.social Submit your big picture ideas, consolidation work, phd thesis distillation, etc. by March 5th! www.bigpictureworkshop.com w/ Allyson Ettinger, @norakassner.bsky.social, @sebruder.bsky.social

🚨 New Study 🚨 @arxiv.bsky.social has recently decided to prohibit any 'position' paper from being submitted to its CS servers. Why? Because of the "AI slop", and allegedly higher ratios of LLM-generated content in review papers, compared to non-review papers.

Front Conference Zurich is coming up soon! On Friday, February 27, an amazing group of speakers will explore how AI is reshaping the way we work, from creativity and product design to engineering and collaboration 🤩 Our lineup: frontconference.com/schedule 🎟️ Your ticket: frontconference.com/tickets

We're at #NeurIPS2025 with papers, posters, workshops, fireside chats, & talks across the conference. Come learn about our latest research + see live demos!

Olmo 3 is notable as a "fully open" LLM - all of the training data is published, plus complete details on how the training process was run. I tried out the 32B thinking model and the 7B instruct models, + thoughts on why transparent training data is so important simonwillison.net/2025/Nov/22/...

Olmo 3 is a fully open LLM

Olmo is the LLM series from Ai2—the Allen institute for AI. Unlike most open weight models these are notable for including the full training data, training process and checkpoints along …

simonwillison.net

Olmo 3 is out! 🤩 I am particularly excited about Olmo 3 models' precise instruction following abilities and their good generalization performance on IFBench! Lucky to have been a part of the Olmo journey for three iterations already.

Ai2@ai2.bsky.social · 9mo ago

Announcing Olmo 3, a leading fully open LM suite built for reasoning, chat, & tool use, and an open model flow—not just the final weights, but the entire training journey. Best fully open 32B reasoning model & best 32B base model. 🧵

Happy Halloween!

There’s plenty of evidence for political bias in LLMs, but very few evals reflect realistic LLM use cases — which is where bias actually matters. IssueBench, our attempt to fix this, is accepted at TACL, and I will be at #EMNLP2025 next week to talk about it! New results 🧵

Paul Röttger@paul-rottger.bsky.social · last yr.

Are LLMs biased when they write about political issues? We just released IssueBench – the largest, most realistic benchmark of its kind – to answer this question more robustly than ever before. Long 🧵with spicy results 👇

I will be giving a talk at @eth-ai-center.bsky.social next week, on RLVR for verifiable instruction following, generalization, and reasoning! 📢 Join if you are in Zurich and interested in hearing about IFBench and our latest Olmo and Tülu works at @ai2.bsky.social

"Although I hate leafy vegetables, I prefer daxes to blickets." Can you tell if daxes are leafy vegetables? LM's can't seem to! 📷 We investigate if LMs capture these inferences from connectives when they cannot rely on world knowledge. New paper w/ Daniel, Will, @jessyjli.bsky.social

💡We kicked off the SoLaR workshop at #COLM2025 with a great opinion talk by @michelleding.bsky.social & Jo Gasior Kavishe (joint work with @victorojewale.bsky.social and @geomblog.bsky.social ) on "Testing LLMs in a sandbox isn't responsible. Focusing on community use and needs is."

Hi #COLM2025! 🇨🇦 I will be presenting a talk on the importance of community-driven LLM evaluations based on an opinion abstract I wrote with Jo Kavishe, @victorojewale.bsky.social and @geomblog.bsky.social tomorrow at 9:30am in 524b for solar-colm.github.io Hope to see you there!

Third Workshop on Socially Responsible Language Modelling Research (SoLaR) 2025

COLM 2025 in-person Workshop, October 10th at the Palais des Congrès in Montreal, Canada

solar-colm.github.io

Now accepted to #neurips25 datasets & benchmarks! See you in San Diego! 🥳

Valentina Pyatkin@valentinapy.bsky.social · last yr.

💡Beyond math/code, instruction following with verifiable constraints is suitable to be learned with RLVR. But the set of constraints and verifier functions is limited and most models overfit on IFEval. We introduce IFBench to measure model generalization to unseen constraints.

🚀 Can open science beat closed AI? Tülu 3 makes a powerful case. In our new #WiAIRpodcast, we speak with Valentina Pyatkin (@valentinapy.bsky.social) of @ai2.bsky.social and the University of Washington about a fully open post-training recipe—models, data, code, evals, and infra. #WomenInAI 1/8🧵

"𝐋𝐋𝐌 𝐏𝐨𝐬𝐭-𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠: 𝐎𝐩𝐞𝐧 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐓𝐡𝐚𝐭 𝐏𝐨𝐰𝐞𝐫𝐬 𝐏𝐫𝐨𝐠𝐫𝐞𝐬𝐬 " 🎙️ On Sept 17, the #WiAIRpodcast speaks with @valentinapy.bsky.social (@ai2.bsky.social & University of Washington) about open science, post-training, mentorship, and visibility #WiAIR #NLProc

With fresh support of $75M from NSF and $77M from NVIDIA, we’re set to scale our open model ecosystem, bolster the infrastructure behind it, and fast‑track reproducible AI research to unlock the next wave of scientific discovery. 💡

On my way to Oxford: Looking forward to speaking at OxML 2025

🔈For the SoLaR workshop @COLM_conf we are soliciting opinion abstracts to encourage new perspectives and opinions on responsible language modeling, 1-2 of which will be selected to be presented at the workshop. Please use the google form below to submit your opinion abstract ⬇️

I had a lot of fun contemplating about memorization questions at the @l2m2workshop.bsky.social panel yesterday together with Niloofar Mireshghallah and Reza Shokri, moderated by @pietrolesci.bsky.social who did a fantastic job! #ACL2025

I'll be at #ACL2025🇦🇹!! Would love to chat about all things pragmatics 🧠, redefining "helpfulness"🤔 and enabling better cross-cultural capabilities 🗺️ 🫶 Presenting our work on culturally offensive nonverbal gestures 👇 🕛Wed @ Poster Session 4 📍Hall 4/5, 11:00-12:30

Akhila Yerukola@akhilayerukola.bsky.social · last yr.

Did you know? Gestures used to express universal concepts—like wishing for luck—vary DRAMATICALLY across cultures? 🤞means luck in US but deeply offensive in Vietnam 🚨 📣 We introduce MC-SIGNS, a test bed to evaluate how LLMs/VLMs/T2I handle such nonverbal behavior! 📜: arxiv.org/abs/2502.17710

🔥tokenization panel!

why is vancouver sushi so good? 🤤 (vancouver food in general actually)

This week is #ICML in Vancouver, and a number of our researchers are participating. Here's the full list of Ai2's conference engagements—we look forward to connecting with fellow attendees. 👋

I'll be at ICML in Vancouver next week! #ICML2025 You can find me at the following: - giving an invited talk at the "Models of Human Feedback for AI Alignment" workshop - giving an invited talk at the "AI for Math" workshop I'll also present these two papers ⤵️

In Geneva🇨🇭to attend the International Open-Source LLM Builders Summit and present OLMo and Tülu!

💡Beyond math/code, instruction following with verifiable constraints is suitable to be learned with RLVR. But the set of constraints and verifier functions is limited and most models overfit on IFEval. We introduce IFBench to measure model generalization to unseen constraints.

plus, some fun RL experiments

This new benchmark created by @valentinapy.bsky.social should be the new default replacing IFEval. Some of the best frontier models get <50% and it comes with separate training prompts so people don’t effectively train on test. Wild gap from o3 > Gemini 2.5 pro of like 30 points.

Ai2@ai2.bsky.social · last yr.

Introducing IFBench, a benchmark to measure how well AI models follow new, challenging, and diverse verifiable instructions. Top models like Gemini 2.5 Pro or Claude 4 Sonnet are only able to score up to 50%, presenting an open frontier for post-training. 🧵

Introducing IFBench, a benchmark to measure how well AI models follow new, challenging, and diverse verifiable instructions. Top models like Gemini 2.5 Pro or Claude 4 Sonnet are only able to score up to 50%, presenting an open frontier for post-training. 🧵