This is my website. I use it to show off to people I want to hire me. I also post random things, often map-related.

I'm a Predoctoral Researcher at the Allen Institute for Artificial Intelligence (AI2). I studied computer science and linguistics as an undergraduate at Harvard. I am interested in using linguistics and formal languages to study langauge models as general-purpose NLP systems.


Will join USC as a PhD student in NLP this coming fall.
Selected for NSF GRFP Honorable Mention.
Gave a talk at IST/Unbabel on math reasoning evaluation.
Decomposed Prompting accepted to ICLR.
Gave a talk at FLaNN on studying instruction learning with formal languages.
2 papers accepted to EMNLP.
Joined AI2 as a pre-doctoral researcher.

Publications and preprints

  1. Attentiveness to Answer Choices Doesn't Always Entail High QA Accuracy.
    Sarah Wiegreffe, Matthew Finlayson, Oyvind Tafjord, Peter Clark, and Ashish Sabharwal.
    ArXiv, .
  2. Decomposed Prompting: A Modular Approach for Solving Complex Tasks.
    Tushar Khot, Harsh Trivedi, Matthew Finlayson, Yao Fu, Kyle Richardson, Peter Clark and Ashish Sabharwal.
    ICLR, .
    [PDF] [Code]
  3. Līla: A Unified Benchmark for Mathematical Reasoning.
    {Matthew Finlayson, Swaroop Mishra,} Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, and Ashwin Kalyan.
    EMNLP, .
    [PDF] [Data] [Model] [Website] [Leaderboard]
  4. What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment.
    Matthew Finlayson, Kyle Richardon, Ashish Sabharwal, and Peter Clark.
    EMNLP, .
    [PDF] [Code]
  5. Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models.
    {Matthew Finlayson, Aaron Mueller,} Sebastian Gehrmann, Stuart Shieber, Tal Linzen, and Yonatan Belinkov.
    [PDF] [Code]