Self-Attention with Relative Position Representations. - Peter Shaw 004; Jakob Uszkoreit; Ashish Vaswani (NAACL-HLT (2), 2018)

Generating Logical Forms from Graph Representations of Text and Entities. - Peter Shaw 004; Philip Massey; Angelica Chen; Francesco Piccinno; Yasemin Altun (ACL (1), 2019)

Answering Conversational Questions on Structured Data without Logical Forms. - Thomas Müller 009; Francesco Piccinno; Peter Shaw 004; Massimo Nicosia; Yasemin Altun (EMNLP/IJCNLP (1), 2019)

Exploring Unexplored Generalization Challenges for Cross-Database Semantic Parsing. - Alane Suhr; Ming-Wei Chang; Peter Shaw 004; Kenton Lee (ACL, 2020)

Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both? - Peter Shaw 004; Ming-Wei Chang; Panupong Pasupat; Kristina Toutanova (ACL/IJCNLP (1), 2021)

Visually Grounded Concept Composition. - Bowen Zhang 002; Hexiang Hu; Linlu Qiu; Peter Shaw 004; Fei Sha (EMNLP (Findings), 2021)

Graph-Based Decoding for Task Oriented Semantic Parsing. - Jeremy R. Cole; Nanjiang Jiang; Panupong Pasupat; Luheng He; Peter Shaw 004 (EMNLP (Findings), 2021)

Systematic Generalization on gSCAN: What is Nearly Solved and What is Next? - Linlu Qiu; Hexiang Hu; Bowen Zhang 002; Peter Shaw 004; Fei Sha (EMNLP (1), 2021)

Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations. - Jonathan Herzig; Peter Shaw 004; Ming-Wei Chang; Kelvin Guu; Panupong Pasupat; Yuan Zhang 001 (CoRR, 2021)

Learning to Generalize Compositionally by Transferring Across Semantic Parsing Tasks. - Wang Zhu 001; Peter Shaw 004; Tal Linzen; Fei Sha (CoRR, 2021)

Generate-and-Retrieve: Use Your Predictions to Improve Retrieval for Semantic Parsing. - Yury Zemlyanskiy; Michiel de Jong; Joshua Ainslie; Panupong Pasupat; Peter Shaw 004; Linlu Qiu; Sumit Sanghai; Fei Sha (COLING, 2022)

Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing. - Linlu Qiu; Peter Shaw 004; Panupong Pasupat; Tianze Shi; Jonathan Herzig; Emily Pitler; Fei Sha; Kristina Toutanova (EMNLP, 2022)

Improving Compositional Generalization with Latent Structure and Data Augmentation. - Linlu Qiu; Peter Shaw 004; Panupong Pasupat; Pawel Krzysztof Nowak; Tal Linzen; Fei Sha; Kristina Toutanova (NAACL-HLT, 2022)

QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations. - Chaitanya Malaviya; Peter Shaw 004; Ming-Wei Chang; Kenton Lee; Kristina Toutanova (ACL (1), 2023)

Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding. - Kenton Lee; Mandar Joshi; Iulia Raluca Turc; Hexiang Hu; Fangyu Liu 001; Julian Martin Eisenschlos; Urvashi Khandelwal; Peter Shaw 004; Ming-Wei Chang; Kristina Toutanova (ICML, 2023)

From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces. - Peter Shaw 004; Mandar Joshi; James Cohan; Jonathan Berant; Panupong Pasupat; Hexiang Hu; Urvashi Khandelwal; Kenton Lee; Kristina Toutanova (NeurIPS, 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 004; Jonathan Berant (CoRR, 2023)

BAGEL: Bootstrapping Agents by Guiding Exploration with Language. - Shikhar Murty; Christopher D. Manning; Peter Shaw 004; Mandar Joshi; Kenton Lee (ICML, 2024)

ALTA: Compiler-Based Analysis of Transformers. - Peter Shaw 004; James Cohan; Jacob Eisenstein; Kenton Lee; Jonathan Berant; Kristina Toutanova (Trans. Mach. Learn. Res., 2025)

Robust Preference Optimization through Reward Model Distillation. - Adam Fisch; Jacob Eisenstein; Vicky Zayats; Alekh Agarwal; Ahmad Beirami; Chirag Nagpal; Peter Shaw 004; Jonathan Berant (Trans. Mach. Learn. Res., 2025)

AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories. - Xing Han Lù; Amirhossein Kazemnejad; Nicholas Meade; Arkil Patel; Dongchan Shin; Alejandra Zambrano; Karolina Stanczak; Peter Shaw 004; Christopher J. Pal; Siva Reddy (CoRR, 2025)