Neil Toronto

19 papers A* 2A 2B 3Misc 1Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
"It makes you think": Provocations Help Restore Critical Thinking to AI-Assisted Knowledge Work.
CoRR
Ian Drosos, Advait Sarkar, Xiaotong Xu, Neil Toronto
2024 — conf
Solving Data-centric Tasks using Large Language Models.
NAACL-HLT (Findings)
Shraddha Barke, Christian Pölitz, Carina Negreanu, Benjamin Zorn, José Cambronero, Andrew D. Gordon, Vu Le, Elnaz Nouri, Nadia Polikarpova, Advait Sarkar, Brian Slininger, Neil Toronto, Jack Williams
2024 J jnl
Solving Data-centric Tasks using Large Language Models.
CoRR
Shraddha Barke, Christian Pölitz, Carina Suzana Negreanu, Benjamin G. Zorn, José Cambronero, Andrew D. Gordon, Vu Le, Elnaz Nouri, Nadia Polikarpova, Advait Sarkar, Brian Slininger, Neil Toronto, Jack Williams
2024 J jnl
When Copilot Becomes Autopilot: Generative AI's Critical Risk to Knowledge Work and a Critical Solution.
CoRR
Advait Sarkar, Xiaotong Xu, Neil Toronto, Ian Drosos, Christian Pölitz
2023 A* conf
"What It Wants Me To Say": Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models.
CHI
Michael Xieyang Liu, Advait Sarkar, Carina Negreanu, Benjamin G. Zorn, Jack Williams, Neil Toronto, Andrew D. Gordon
2023 J jnl
"What It Wants Me To Say": Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models.
CoRR
Michael Xieyang Liu, Advait Sarkar, Carina Negreanu, Ben Zorn, Jack Williams, Neil Toronto, Andrew D. Gordon
2019 — conf
End-User Probabilistic Programming.
QEST
Judith Borghouts, Andrew D. Gordon, Advait Sarkar, Neil Toronto
2019 J jnl
Somewhere Around That Number: An Interview Study of How Spreadsheet Users Manage Uncertainty.
CoRR
Judith Borghouts, Andrew D. Gordon, Advait Sarkar, Kenton P. O'Hara, Neil Toronto
2018 B conf
Calculation View: multiple-representation editing in spreadsheets.
VL/HCC
Advait Sarkar, Andrew D. Gordon, Simon Peyton Jones, Neil Toronto
2015 A conf
Running Probabilistic Programs Backwards.
ESOP
Neil Toronto, Jay McCarthy, David Van Horn
2014 J jnl
Practically Accurate Floating-Point Math.
Comput. Sci. Eng.
Neil Toronto, Jay McCarthy
2014 J jnl
Running Probabilistic Programs Backwards.
CoRR
Neil Toronto, Jay McCarthy, David Van Horn
2013 A conf
Experience report: applying random testing to a base type environment.
ICFP
Vincent St-Amour, Neil Toronto
2012 Misc conf
Computing in Cantor's Paradise with λ ZFC.
FLOPS
Neil Toronto, Jay McCarthy
2010 — conf
From Bayesian Notation to Pure Racket via Discrete Measure-Theoretic Probability in λ ZFC.
IFL
Neil Toronto, Jay McCarthy
2009 A* conf
Super-resolution via recapture and Bayesian effect modeling.
CVPR
Neil Toronto, Bryan S. Morse, Kevin D. Seppi, Dan Ventura
2007 — conf
The Hough Transform's Implicit Bayesian Foundation.
ICIP (4)
Neil Toronto, Bryan S. Morse, Dan Ventura, Kevin D. Seppi
2006 B conf
Learning Quantum Operators From Quantum State Pairs.
IEEE Congress on Evolutionary Computation
Neil Toronto, Dan Ventura
2005 B conf
Edge inference for image interpolation.
IJCNN
Neil Toronto, Dan Ventura, Bryan S. Morse