Hello!
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.
News
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 Promptingaccepted to ICLR. |
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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
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Attentiveness to Answer Choices Doesn't Always Entail High QA Accuracy
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Sarah Wiegreffe, Matthew Finlayson, Oyvind Tafjord, Peter Clark, and Ashish Sabharwal.
ArXiv, .
[PDF] -
Decomposed Prompting: A Modular Approach for Solving Complex Tasks
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Tushar Khot, Harsh Trivedi, Matthew Finlayson, Yao Fu, Kyle Richardson, Peter Clark and Ashish Sabharwal.
ICLR, .
[PDF] [Code] -
Līla: A Unified Benchmark for Mathematical Reasoning
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{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] -
What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment
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Matthew Finlayson, Kyle Richardon, Ashish Sabharwal, and Peter Clark.
EMNLP, .
[PDF] [Code] -
Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models
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{Matthew Finlayson, Aaron Mueller,} Sebastian Gehrmann, Stuart Shieber, Tal Linzen, and Yonatan Belinkov.
ACL-IJCNLP, .
[PDF] [Code]