Cristina Garbacea

Why is constrained neural language generation particularly challenging? openreview.net/pdf?id=Vwgjk5y… In our TMLR 2025 paper, we discuss approaches, learning methodologies and model architectures employed for generating texts with desirable attributes.

Day 1 afternoon keynote talk given by Max Welling @wellingmax #ICLR2026 From Physics to AI to Materials; A Journey from Foundations to Impact "Do we reward strange new, potentially paradigm-shifting ideas or do we focus on engineering, scaling and bold numbers?"

Long COVID doesn’t come out of nowhere. It starts with COVID infection. The most reliable way to reduce your risk is to prevent getting COVID in the first place. Clean air, well-fitted respirator masks, testing regularly and staying home when sick all help lower exposure and protect your health long term. #InfectionPrevention #LongCOVID #COVID19 #COVID #COVIDIsNotOver #PublicHealth

Advice for ICLR (or any other conference): Don't collect posters. Collect understanding. 🧵

Following positive feedback from other venues, like STOC and ICML, NeurIPS is pleased to announce a new initiative in partnership with Google: for NeurIPS 2026, authors will have access to Google's Paper Assistant Tool (PAT) to help improve their submissions.  This program offers authors the opportunity to receive free, automated, and actionable feedback on their manuscripts before the final deadline, private to the authors. It is a completely optional service that is kept strictly private to the authors and will not be used in the review process. Read more in our blog post: blog.neurips.cc/2026/04/21/neu…

The deadline for our EIML@ICML2026 workshop has now been extended to 📆 April 24th, 2026! Looking forward to reading your submission!

ICLR 2026 is almost there! We have 6 exciting keynotes covering a range of areas from machine learning to robotics, neuroscience and AI for science: Maja Matarić, Max Welling, Percy Liang, Katie Bouman, Karen Adolph, Pablo Arbeláez See you all soon! #ICLR2026

Grateful for all of the amazing CC people on this app that have managed to stay connected to reality and keep going each day. 🤎😷

Not many PhD students know about compute grants, but they can make a huge difference. During my PhD, I got access to Stability AI's HPC cluster through a small proposal and used it for Self-RAG training. Great practical post by @_emliu!

Excited to launch the accompanying free RLHF Course for my book. To kick it off, I've released: - Welcome video - Lecture 1: Overview of RLHF & Post-training - Lecture 2: IFT, Reward Models, Rejection Sampling - Lecture 3: RL Math - Lecture 4: RL Implementation I'm going to add question & answer videos throughout the lecture to go deeper on topics that need it, and potentially cover some topics that are too recent and in flux to go in print. I expect 10-15 videos in total over the next few months. At the same time, development around the code for the book is picking up. It's a great time to build the foundation for post-training methods. YT playlist and course landing page below.

Excited to announce the 2026 iteration of the Communication & Intelligence Symposium at UChicago! We have an amazing lineup of speakers @Diyi_Yang @johnhewtt @dashunwang @TomerUllman We have a simple call for abstract that is due on Apr 15 (links 👇). Please come and share your research! Co-organized with the awesome @universeinanegg and @divingwithorcas

Why am I obsessed with this? LLMs do not preserve our intentions or diversity of thought in writing, and they’re already being adopted en masse. More than 1 billion people worldwide use them on a weekly basis. Existing work has shown that for individual scientists, using LLMs to generate papers increases your productivity and impact, even though it constricts science’s overall focus. In our study we show that even though participants who rely on LLMs say their writing is significantly less creative and not in their voice, they are paradoxically equally satisfied with the output. So, the adoption of LLMs is not going to slow any time soon. But it’s already affecting our cultural institutions and the way we conduct science. We urgently need more research into how massive, widespread LLM adoption will affect our science, politics, and culture.

The paper I’ve been most obsessed with lately is finally out: nbcnews.com/tech/tech-news…! Check out this beautiful plot: it shows how much LLMs distort human writing when making edits, compared to how humans would revise the same content. We take a dataset of human-written essays from 2021, before the release of ChatGPT. We compare how people revise draft v1 -> v2 given expert feedback, with how an LLM revises the same v1 given the same feedback. This enables a counterfactual comparison: how much does the LLM alter the essay compared to what the human was originally intending to write? We find LLMs consistently induce massive distortions, even changing the actual meaning and conclusions argued for.

Peer review is facing a death spiral, and AI production tools are speeding it up. AI-assisted reviewing is necessary and should be open. We built OpenAIReview: open AI reviewing for everyone, for the cost of a coffee. openaireview.github.io/blog.html 🧵

We have let AI scientists run experiments on community-selected research ideas for over 100 days. It has found directions of “Sounding like AI” and shown that LLMs know commonsense answers internally but can't route them to the output. @karpathy also demonstrated the promise of autoresearch. These all came from agents working alone. What if they could talk to each other, forming a moltbook for AI scientists? Introducing agent4science.org, a platform where AI scientist agents share, critique, and debate papers in public, and Flamebird, a runtime to deploy your own AI agents into the ecosystem.

You do not need to be an Olympic athlete or astronaut to value yourself and others enough to wear a mask.

Any other maskers feeling like an Olympian today? 🥇

[1/n] Super excited to introduce PaperBanana 🍌! (PKU x Google Cloud AI) As AI researchers, we often spend way too much time crafting diagrams and plots instead of focusing on the ideas 🤯. To rescue us from this burden, we built an Agentic Framework to auto-generate NeurIPS-quality paper illustrations! 📄 Paper: huggingface.co/papers/2601.23… 🌐 Page: dwzhu-pku.github.io/PaperBanana/ Key Features: 🌟 Human-like Workflow: Retrieve 🔍 -> Plan 📝 -> Style 🎨 -> Render 🖼️ -> Critique 🔄. This ensures both academic fidelity and aesthetics. 🌟 Versatile: Supports both illustrative diagrams and statistical plots. 🌟 Polishing: Also effective for polishing existing human-drawn diagrams. Here are some example diagrams and plots generated by our PaperBanana:

Excellent policy change from ICML - authors no longer need to purchase an in-person registration/attend in person. So much more inclusive! This seems extremely reasonable, hopefully it becomes standard for ML conferences.

We’re publishing a new constitution for Claude. The constitution is a detailed description of our vision for Claude’s behavior and values. It’s written primarily for Claude, and used directly in our training process. anthropic.com/news/claude-ne…

No, Covid isn't something that happened five years ago. It's something that's happening *now*.