Katie Collins
@katie_m_collins
Machine Learning PhD Student @Cambridge_Uni & Marshall Scholar | Student Researcher, @CambridgeMLG & @MITCoCoSci | @MIT '21 | Founder, @mitxharvard_wai
What does it take to build AI systems that meet our expectations and complement our limitations? Our Perspective on thought partners which engage deeply with computational cognitive science is now out in @NatureHumBehav ! nature.com/articles/s4156…
Modeling Open-World Cognition as On-Demand Synthesis of Probabilistic Models
A hallmark of human intelligence is the capacity for rapid adaptation, solving new problems quickly under novel and unfamiliar conditions. How can we build machines to do so? In our new preprint, we propose that any general intelligence system must have an adaptive world model,…
Very exciting and (IMO) compelling account of the open-endedness of human cognition, simultaneously explaining how: (i) we're locally quite rational (probabilistically coherent, etc.) (ii) we can nonetheless "solve" the frame problem and reason about a v. wide range of situations
How do people reason while still staying coherent – as if they have an internal ‘world model’ for situations they’ve never encountered? A new paper on open-world cognition (preview at the world models workshop at #ICML2025!)
How do people reason while still staying coherent – as if they have an internal ‘world model’ for situations they’ve never encountered? A new paper on open-world cognition (preview at the world models workshop at #ICML2025!)
SUPER excited for our upcoming workshop at CogSci!! Do please stop by if you’re interested in how we decide how to decide!
If you’ll be at #CogSci2025, consider attending our workshop on meta-reasoning! Organized with Lio Wong, @traceymills_, @katie_m_collins, and @cocosci_lab, we’ll be discussing problem selection through various lenses represented by our speakers 🤔💭 sites.google.com/nyu.edu/metare…
Ilia is AWESOME!!!!!! Anyone would be lucky to work with him! Super super excited for him and his new group -- congrats Purdue!
Thrilled to announce I’ll be joining @PurdueCS as an Assistant Professor in Fall 2026! My lab will work on AI thought partners, machines that think with people rather than instead of people – I'll be recruiting PhD students this upcoming cycle so reach out & apply if interested!
📢 New Preprint: What happens at a population level when humans learn from AI systems that themselves learned from us? We extended the classic "Rogers' Paradox" to explore human-AI learning networks—and found some surprising results! 🤖🧠 (Paper link in 🧵)
The presentation is happening today at the Programming and Software Use session (G401)! More details about the paper below👇
What if AI didn't wait for developer questions, but could anticipate their needs? Our new #CHI2025 paper rethinks designing AI assistants for programming—from reactive tools to proactive partners.
#ICLR2025 Oral How can we control LMs using diverse signals such as static analyses, test cases, and simulations? In our paper “Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo” we: Cast controlled generation as an inference problem, with the LM…
New Paper: We unlock AI Evaluation with explanatory and predictive power through general ability scales! -Explains what common benchmarks really measure -Extracts explainable ability profiles of AI systems -Predicts performance for new task instances, in & out-of-distribution 🧵
Many studies suggest AI has achieved human-like performance on various cognitive tasks. But what is “human-like” performance? Our new paper conducted a human re-labeling of several popular AI benchmarks and found widespread biases and flaws in task and label designs. We make 5…
Catch me in a few days at #AAAI2025 🏛️🔔! I'll be presenting our work on “Learning Personalized Decision Support Policies” at: 📅Poster (Session 3) on March 1 @ 12:30p 🎙️Oral (Humans and AI 5) on March 2 @ 2:54p DM to chat about human-ai collab, coding agents, and better evals!
Super excited for our awesome line-up of speakers tomorrow at the Behavioral ML workshop! If you're at @NeurIPSConf , come stop by East Meeting Rooms 19&20!
We're excited to hear from 6 invited speakers: - Michael Bernstein (@msbernst) - Andreea Bobu (@andreea7b) - Tom Griffiths (@cocosci_lab) - Hoda Heidari (@HodaHeidari) - Hannah Rose Kirk (@hannahrosekirk) - Sendhil Mullainathan (@m_sendhil)
📢📢 Just two days left until our Summit on Open Problems for AI in Boston: algopreneurship.ai Algorithms (4th Dec), Ethics & Society (5th), and Applications & Entrepreneurship (6th) at the awesome @museumofscience. We've got a great set of topics, stellar line-up, and…
Really excited for @marcel_binz 's talk next Monday! Sign up here if interested! forms.gle/pT9oyic5tMbpWY…
Our last zoom seminar was a success and we're excited for the next one, featuring @marcel_binz ! This talk will be a lead-up to our NeurIPS Workshop on Behavioral ML. Sign up here for our zoom link: forms.gle/pT9oyic5tMbpWY… Time: Mon Nov 25, 12-1pm ET