William Merrill @lambdaviking
Incoming Assistant Prof, Toyota Technical Institute at Chicago @TTIC_Connect Recruiting PhD students (start 2026) 👀 Will irl - TC0 enthusiast lambdaviking.com New York, NY Joined October 2011-
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William Merrill retweeted
Friday, October 3rd at 11am CT: Research at TTIC presents David McAllester with a talk titled "Reasoning and Mathematics." Please join us in Room 530, 5th floor.
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William Merrill retweeted
For details, see the following links: Empirical ML/AI: jobs.careers.microsoft.com/global/en/job/… Theoretical ML/AI: jobs.careers.microsoft.com/global/en/job/…
William Merrill retweeted
Linguistics PhD student @jowenpetty and CDS collaborators find that LLMs "quiet-quit" when instructions get long, switching from reasoning to guesswork. With CDS' @tallinzen, @ravfogel, @lambdaviking, @michahu8, and @wentaow10. nyudatascience.medium.com/llms-switch-to…
William Merrill retweeted
hybrid is the future:)
hybrid is the future:)
Oh mai, very exciting!
more sus than the awful graph
William Merrill retweeted
I'll be at #ACL2025 next week! 🇦🇹 Things on my mind: curriculum learning, online adaptation, LM agents Where to find me: 1⃣ Monday: my team's poster on PeopleJoin (interning at Microsoft) 2⃣ Wednesday: discussing pre-pretraining in Panel 1 Excited to chat! DMs are open 😊
William Merrill retweeted
We’re proud to announce three new tenure-track assistant professors joining TTIC in Fall 2026: Yossi Gandelsman (@YGandelsman), Will Merrill (@lambdaviking), and Nick Tomlin (@NickATomlin). Meet them here: buff.ly/JH1DFtT
Stoked to be joining TTIC along with this great cohort!
Stoked to be joining TTIC along with this great cohort!
New episode of the C-RASP saga just dropped!
New episode of the C-RASP saga just dropped!
William Merrill retweeted
New on arXiv: Knee-Deep in C-RASP, by @pentagonalize, Michael Cadilhac and me. The solid stepped line is our theoretical prediction based on what problems C-RASP can solve, and the numbers/colors are what transformers (no position embedding) can learn.
William Merrill retweeted
So, on the topic of the Apple puzzle reasoning paper: we got pretty similar results in our recent paper on recognizing context-free languages as an LLM eval, a task that also requires the model to follow an algorithm (which I think is what LLM folks mean by "reasoning").
I'll be defending my dissertation at NYU next Monday, June 16 at 4pm ET! I've definitely missed inviting some people who might be interested, so please email me if you'd like to attend (NYC or Zoom)
William Merrill retweeted
How well can LLMs understand tasks with complex sets of instructions? We investigate through the lens of RELIC: REcognizing (formal) Languages In-Context, finding a significant overhang between what LLMs are able to do theoretically and how well they put this into practice.
A fun project with really thorough analysis of how LLMs try and often fail to implement parsing algorithms. Bonus: find out what this all has to do with the Kalamang language from New Guinea
A fun project with really thorough analysis of how LLMs try and often fail to implement parsing algorithms. Bonus: find out what this all has to do with the Kalamang language from New Guinea
William Merrill retweeted
Computational Capability and Efficiency of Neural Networks: A Repository of Papers I compiled a list of theoretical papers related to the computational capabilities of Transformers, recurrent networks, feedforward networks, and graph neural networks. Link:…
William Merrill retweeted
Slides from my talk at Apple (thanks for hosting!) on our recent work on formal languages for LLM pretraining and evaluation: drive.google.com/file/d/1EtsyQ-…
William Merrill retweeted
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