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Tyler LaBonte
925 posts
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@tmlabonte

Tyler LaBonte

@tmlabonte
Senior Researcher @MSFTResearch @ms_aifrontiers working on future capabilities of multimodal agents. ML PhD @GeorgiaTech, Math BS @USC.
Atlanta, GA
tyler-labonte.com
Joined December 2019
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  • Pinned
    @tmlabonte
    Tyler LaBonte
    @tmlabonte
    Jun 23
    Overdue update: I've defended my dissertation and graduated from @GeorgiaTech! Next, I've joined @MSFTResearch @ms_aifrontiers as a Senior Researcher working on future capabilities of multimodal agents 🚀
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  • @tmlabonte
    Tyler LaBonte
    @tmlabonte
    Jun 30
    New paper — the last and best from my PhD! We show the first end-to-end feature learning analysis of how neural networks overfit to spurious correlations. Our theory implies phase transitions in SGD learning dynamics that match empirical results. Paper: arxiv.org/abs/2606.30444
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  • @tmlabonte
    Tyler LaBonte
    @tmlabonte
    Jun 25
    Very cool work from new colleagues at @ms_aifrontiers: most LLM benchmarks are redundant!
    @ms_aifrontiers
    Microsoft AI Frontiers
    @ms_aifrontiers
    Jun 25
    Most LLM benchmark scores are predictable before you ever run them. New from the MS AI Frontiers team: BenchPress. The 84-model × 133-benchmark score matrix turns out to be effectively rank-2, so matrix completion fills in the rest. 5 probes recover a model's whole profile.
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  • @tmlabonte
    Tyler LaBonte
    @tmlabonte
    Jun 21
    I like the characterization of AI as an "alien collaborator" for math. We have a forthcoming theory paper where AI was invaluable for optimizing delicate technical conditions -- but only humans could translate ideas and goals into self-contained math questions the AI could parse
    @tonylfeng
    Tony Feng
    @tonylfeng
    Jun 20
    Recently, I have started getting appreciable value from AI for my own mathematics research. While model improvements were necessary for this to happen, I think another key factor was reflecting on recent success cases, in order to build a better mental model for the comparative
  • @tmlabonte
    Tyler LaBonte
    @tmlabonte
    May 24
    The updated version of this paper has been accepted at @TmlrOrg 🚨🚀 Very excited about implications of our results for SOTA robustness algorithms & understanding spurious correlations more generally. Journal version link: openreview.net/pdf?id=h81ztbr…
    @tmlabonte
    Tyler LaBonte
    @tmlabonte
    Apr 23, 2025
    Heading to #ICLR2025 to present our SCSL workshop paper on understanding how last-layer retraining methods mitigate spurious correlations! openreview.net/pdf?id=B2W51aq… Stop by on Monday, April 28 to chat and learn more 🙂
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