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Psychologically-informed chain-of-thought prompts for metaphor understanding in large language models


Sep 16, 2022
Ben Prystawski, Paul Thibodeau, Noah Goodman

* 12 pages, 1 figure 

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Foundation Posteriors for Approximate Probabilistic Inference


May 19, 2022
Mike Wu, Noah Goodman

* 9 pages without appendix 

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Mixed-effects transformers for hierarchical adaptation


May 03, 2022
Julia White, Noah Goodman, Robert Hawkins


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Know Thy Student: Interactive Learning with Gaussian Processes


Apr 26, 2022
Rose E. Wang, Mike Wu, Noah Goodman

* ICLR 2022 From Cells to Societies: Collective Learning Across Scales Workshop 

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Active Learning Helps Pretrained Models Learn the Intended Task


Apr 18, 2022
Alex Tamkin, Dat Nguyen, Salil Deshpande, Jesse Mu, Noah Goodman


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Language modeling via stochastic processes


Mar 21, 2022
Rose E Wang, Esin Durmus, Noah Goodman, Tatsunori Hashimoto

* ICLR Oral 2022. Code: https://github.com/rosewang2008/language_modeling_via_stochastic_processes 

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Improving Intrinsic Exploration with Language Abstractions


Feb 17, 2022
Jesse Mu, Victor Zhong, Roberta Raileanu, Minqi Jiang, Noah Goodman, Tim Rocktäschel, Edward Grefenstette


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Tradeoffs Between Contrastive and Supervised Learning: An Empirical Study


Dec 10, 2021
Ananya Karthik, Mike Wu, Noah Goodman, Alex Tamkin

* NeurIPS 2021 Workshop: Self-Supervised Learning - Theory and Practice 

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DABS: A Domain-Agnostic Benchmark for Self-Supervised Learning


Nov 23, 2021
Alex Tamkin, Vincent Liu, Rongfei Lu, Daniel Fein, Colin Schultz, Noah Goodman

* NeurIPS 2021, Datasets & Benchmarks Track 

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Open-domain clarification question generation without question examples


Oct 19, 2021
Julia White, Gabriel Poesia, Robert Hawkins, Dorsa Sadigh, Noah Goodman

* EMNLP 2021 

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