Peter Shaw

According to our database, Peter Shaw authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

ALTA: Compiler-Based Analysis of Transformers.

Peter Shaw, James Cohan, Jacob Eisenstein, Kenton Lee, Jonathan Berant, Kristina Toutanova

CoRR, 2024

BAGEL: Bootstrapping Agents by Guiding Exploration with Language.

Shikhar Murty, Christopher D. Manning, Peter Shaw, Mandar Joshi, Kenton Lee

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking.

Jacob Eisenstein, Chirag Nagpal, Alekh Agarwal, Ahmad Beirami, Alex D'Amour, Dj Dvijotham, Adam Fisch, Katherine A. Heller, Stephen Pfohl, Deepak Ramachandran, Peter Shaw, Jonathan Berant

CoRR, 2023

From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces.

Peter Shaw, Mandar Joshi, James Cohan, Jonathan Berant, Panupong Pasupat, Hexiang Hu, Urvashi Khandelwal, Kenton Lee, Kristina Toutanova

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding.

Kenton Lee, Mandar Joshi, Iulia Raluca Turc, Hexiang Hu, Fangyu Liu, Julian Martin Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, Kristina Toutanova

Proceedings of the International Conference on Machine Learning, 2023

QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations.

Chaitanya Malaviya, Peter Shaw, Ming-Wei Chang, Kenton Lee, Kristina Toutanova

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Improving Compositional Generalization with Latent Structure and Data Augmentation.

Linlu Qiu, Peter Shaw, Panupong Pasupat, Pawel Krzysztof Nowak, Tal Linzen, Fei Sha, Kristina Toutanova

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing.

Linlu Qiu, Peter Shaw, Panupong Pasupat, Tianze Shi, Jonathan Herzig, Emily Pitler, Fei Sha, Kristina Toutanova

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Generate-and-Retrieve: Use Your Predictions to Improve Retrieval for Semantic Parsing.

Yury Zemlyanskiy, Michiel de Jong, Joshua Ainslie, Panupong Pasupat, Peter Shaw, Linlu Qiu, Sumit Sanghai, Fei Sha

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Learning to Generalize Compositionally by Transferring Across Semantic Parsing Tasks.

Wang Zhu, Peter Shaw, Tal Linzen, Fei Sha

CoRR, 2021

Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations.

Jonathan Herzig, Peter Shaw, Ming-Wei Chang, Kelvin Guu, Panupong Pasupat, Yuan Zhang

CoRR, 2021

Systematic Generalization on gSCAN: What is Nearly Solved and What is Next?

Linlu Qiu, Hexiang Hu, Bowen Zhang, Peter Shaw, Fei Sha

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Graph-Based Decoding for Task Oriented Semantic Parsing.

Jeremy R. Cole, Nanjiang Jiang, Panupong Pasupat, Luheng He, Peter Shaw

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Visually Grounded Concept Composition.

Bowen Zhang, Hexiang Hu, Linlu Qiu, Peter Shaw, Fei Sha

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both?

Peter Shaw, Ming-Wei Chang, Panupong Pasupat, Kristina Toutanova

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Exploring Unexplored Generalization Challenges for Cross-Database Semantic Parsing.

Alane Suhr, Ming-Wei Chang, Peter Shaw, Kenton Lee

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Answering Conversational Questions on Structured Data without Logical Forms.

Thomas Müller, Francesco Piccinno, Peter Shaw, Massimo Nicosia, Yasemin Altun

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Generating Logical Forms from Graph Representations of Text and Entities.

Peter Shaw, Philip Massey, Angelica Chen, Francesco Piccinno, Yasemin Altun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Self-Attention with Relative Position Representations.

Peter Shaw, Jakob Uszkoreit, Ashish Vaswani

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018