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papers

Publications (26)

cs.CL2021

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

Linlu Qiu, Hexiang Hu, Bowen Zhang +2

cs.CL2021

Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations

Jonathan Herzig, Peter Shaw, Ming-Wei Chang +3

cs.CR2021

Vulnerability Analysis of the Android Kernel

Joseph R. Barr, Peter Shaw, Tyler Thatcher

cs.CL2022

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

Linlu Qiu, Peter Shaw, Panupong Pasupat +5

cs.CC2023

Cluster Editing with Vertex Splitting

Faisal N. Abu-Khzam, Emmanuel Arrighi, Matthias Bentert +7

cs.CL2019

Answering Conversational Questions on Structured Data without Logical Forms

Thomas Müller, Francesco Piccinno, Massimo Nicosia +2

cs.CL2022

Generate-and-Retrieve: use your predictions to improve retrieval for semantic parsing

Yury Zemlyanskiy, Michiel de Jong, Joshua Ainslie +5

cs.CL2021

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

Peter Shaw, Ming-Wei Chang, Panupong Pasupat +1

q-bio.QM2019

A Random Interaction Forest for Prioritizing Predictive Biomarkers

Zhen Zeng, Yuefeng Lu, Judong Shen +3

cs.LG2023

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

Peter Shaw, Mandar Joshi, James Cohan +6

cs.CL2023

Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding

Kenton Lee, Mandar Joshi, Iulia Turc +7

cs.CL2021

Graph-Based Decoding for Task Oriented Semantic Parsing

Jeremy R. Cole, Nanjiang Jiang, Panupong Pasupat +2

cs.LG2025

AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories

Xing Han Lù, Amirhossein Kazemnejad, Nicholas Meade +7

cs.CL2021

Learning to Generalize Compositionally by Transferring Across Semantic Parsing Tasks

Wang Zhu, Peter Shaw, Tal Linzen +1

cs.CV2021

Visually Grounded Concept Composition

Bowen Zhang, Hexiang Hu, Linlu Qiu +2

math.RA2004

Multiplicative preprojective algebras, middle convolution and the Deligne-Simpson problem

William Crawley-Boevey, Peter Shaw

cs.LG2024

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

Jacob Eisenstein, Chirag Nagpal, Alekh Agarwal +9

cs.CL2026

Effective Reasoning Chains Reduce Intrinsic Dimensionality

Archiki Prasad, Mandar Joshi, Kenton Lee +2

cs.CL2023

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

Chaitanya Malaviya, Peter Shaw, Ming-Wei Chang +2

cs.LG2026

Bridging Kolmogorov Complexity and Deep Learning: Asymptotically Optimal Description Length Objectives for Transformers

Peter Shaw, James Cohan, Jacob Eisenstein +1

cs.LG2025

ALTA: Compiler-Based Analysis of Transformers

Peter Shaw, James Cohan, Jacob Eisenstein +3

cs.CL2022

Improving Compositional Generalization with Latent Structure and Data Augmentation

Linlu Qiu, Peter Shaw, Panupong Pasupat +4

cs.CL2024

BAGEL: Bootstrapping Agents by Guiding Exploration with Language

Shikhar Murty, Christopher Manning, Peter Shaw +2

cs.LG2021

The Variability of Model Specification

Joseph R. Barr, Peter Shaw, Marcus Sobel

cs.CL2019

Generating Logical Forms from Graph Representations of Text and Entities

Peter Shaw, Philip Massey, Angelica Chen +2

cs.CL2018

Self-Attention with Relative Position Representations

Peter Shaw, Jakob Uszkoreit, Ashish Vaswani