Matthew Finlayson

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 14

Top Topics

Resource Bounded

Solving Complex

Logical Reasoning

Top Venues

Publications

Matthew Finlayson, John Hewitt, Alexander Koller, Swabha Swayamdipta, Ashish Sabharwal
Closing the Curious Case of Neural Text Degeneration. ICLR (2024)
Sean Welleck, Amanda Bertsch, Matthew Finlayson, Hailey Schoelkopf, Alex Xie, Graham Neubig, Ilia Kulikov, Zaïd Harchaoui
From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models. CoRR (2024)
Matthew Finlayson, Xiang Ren, Swabha Swayamdipta
Logits of API-Protected LLMs Leak Proprietary Information. CoRR (2024)
Sarah Wiegreffe, Matthew Finlayson, Oyvind Tafjord, Peter Clark, Ashish Sabharwal
Increasing Probability Mass on Answer Choices Does Not Always Improve Accuracy. EMNLP (2023)
Matthew Finlayson, John Hewitt, Alexander Koller, Swabha Swayamdipta, Ashish Sabharwal
Closing the Curious Case of Neural Text Degeneration. CoRR (2023)
Tushar Khot, Harsh Trivedi, Matthew Finlayson, Yao Fu, Kyle Richardson, Peter Clark, Ashish Sabharwal
Decomposed Prompting: A Modular Approach for Solving Complex Tasks. ICLR (2023)
Sarah Wiegreffe, Matthew Finlayson, Oyvind Tafjord, Peter Clark, Ashish Sabharwal
Attentiveness to Answer Choices Doesn't Always Entail High QA Accuracy. CoRR (2023)
Tushar Khot, Harsh Trivedi, Matthew Finlayson, Yao Fu, Kyle Richardson, Peter Clark, Ashish Sabharwal
Decomposed Prompting: A Modular Approach for Solving Complex Tasks. CoRR (2022)
Matthew Finlayson, Kyle Richardson, Ashish Sabharwal, Peter Clark
What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment. CoRR (2022)
Matthew Finlayson, Kyle Richardson, Ashish Sabharwal, Peter Clark
What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment. EMNLP (2022)
Swaroop Mishra, Matthew Finlayson, Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, Ashwin Kalyan
LILA: A Unified Benchmark for Mathematical Reasoning. EMNLP (2022)
Swaroop Mishra, Matthew Finlayson, Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, Ashwin Kalyan
Lila: A Unified Benchmark for Mathematical Reasoning. CoRR (2022)
Matthew Finlayson, Aaron Mueller, Sebastian Gehrmann, Stuart M. Shieber, Tal Linzen, Yonatan Belinkov
Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models. CoRR (2021)
Matthew Finlayson, Aaron Mueller, Sebastian Gehrmann, Stuart M. Shieber, Tal Linzen, Yonatan Belinkov
Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models. ACL/IJCNLP (1) (2021)
Bryan Clark, Todd Deshane, Eli M. Dow, Stephen Evanchik, Matthew Finlayson, Jason Herne, Jeanna Neefe Matthews
Xen and the Art of Repeated Research. USENIX Annual Technical Conference, FREENIX Track (2004)