I am seeking student researchers to hire for 2025 focusing on Multi-Agent LLMs and Inference Time Decoding Algorithms. Ideal candidates are last year PhD students with relevant publications. If interested, please email your CV to [email protected]. Thank you!

Call for interns in Google! Are you interested in building Multi-modal and Reliable Agents with Gemini? I am looking for talented interns and student researchers to join our team at Google. If interested, please fill out this form forms.gle/eHgv69yD9n463g… or PM me.

MLK day is a great reminder of the power of dreaming boldly, and working tirelessly towards the dream of equity, inclusion, and love for all …

LLMs can not plan (yet!), but don’t they need it to perform well on (real world) complex tasks? Would it make sense to have a multi-agent franework to generate plannning trajectories for a given downstream LLM? Should every task be treated with the same inference time budget?

Applications for the global Google PhD Fellowship Program opens on Apr 10th. Fellowships support graduate students doing exceptional and innovative research in computer science and related fields as they pursue their PhD. Learn more and apply by May 15 at goo.gle/phdfellowship

Mehrdad is wonderful to work with.

Introducing OLMoTrace! Now you can trace back OLMo generations to the training data. This is a feature that open data, open training recipe can unlock. We’ve pushed explainability to the next level, combining open data and fast search through trillions of tokens. So proud of

🚨 Excited to share our new paper on 𝕏-Teaming! 🤖 Multiagent system for multiturn jaibreaking 🔍 96.2% attack success against Claude 3.7 (immune to single-turn attacks!) 💥 Upto 98.1% attack success on leading model 🛡️ Released 30K safety dataset 🧵below #AI #LLMSafety

I am at #ICLR2025 and looking for a Student Researcher for this summer. If you are at ICLR and is considering an internship reach out to me.

We're hiring a research scientist on the Foundational Research in Language team at GDM. The role is right here in sunny Seattle! job-boards.greenhouse.io/deepmind/jobs/…

Turns out that RL on "verifiable rewards" can work really well even when these rewards are completely random -- but even then, only on some model families! There's still much to understand about RLVR. Check out our analysis on spurious rewards below:

Did you know that less than 5% of the world's 7,000 languages have meaningful online representation? This highlights the data dearth that a recent Stanford HAI white paper revealed in the context of training large language models. Read more via @TechBrew: bit.ly/3Z5rHMg

Excited to announce that I started at Google Cloud as a student researcher last month working with Hamid Palangi on actionable #interpretability 🔍 to build better tool using #agents ⚒️🤖

Automating Multi-Agent Design: 🧩Multi-agent systems aren’t just about throwing more LLM agents together. 🛠️They require mastering the subtle art of prompting and agent orchestration. Introducing MASS🚀- Our new agent optimization framework for better prompts and topologies!

🚨Are LLMs truly ready for autonomous data science? Real-world data is messy—missing values, outliers, inconsistencies—and if not handled properly, can lead to wrong conclusions. 🌟We introduce RADAR, a benchmark evaluating whether LLMs can handle imperfect tabular data. 🧵

77 years ago this week Claude Shannon ushered in the field of information theory with his paper "A Mathematical Theory of Communication," which has been cited over 100,000 times: bit.ly/44rfByX

📢New conference where AI is the primary author and reviewer! agents4science.stanford.edu Current venues don't allow AI-written papers, so it's hard to assess the +/- of such works🤔 #Agents4Science solicits papers where AI is the main author w/ human advisors. 💡Initial reviews by

🧵1/10 LLMs can answer in many languages. But do they think in them? Even when prompted in Swahili or Thai, models often switch to English for reasoning. This breaks interpretability and trust. So we ask: Can LLMs reason in the input language?

I’m gonna be recruiting students thru both Language Technologies Institute | @CarnegieMellon (NLP) and CMU Engineering & Public Policy (Engineering and Public Policy) for fall 2026! If you are interested in reasoning, memorization, AI for science & discovery and of course privacy, u can catch me at ACL! Prospective students fill this form:

Our interpretability team is planning to mentor more fellows this cycle! Applications are due Aug 17.