Publications
The list should be pretty up-to-date, but feel free to check out my
Google Scholar and
Semantic Scholar pages.
(* = equal contribution)
At Google
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In-context Learning with Retrieved Demonstrations for Language Models: A Survey
Xin Xu, Yue Liu, Panupong Pasupat, Mehran Kazemi
TMLR, 2024
paper
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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
NeurIPS, 2023
paper
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Dr. ICL: Demonstration-Retrieved In-context Learning
Man Luo, Xin Xu, Zhuyun Dai, Panupong Pasupat, Mehran Kazemi, Chitta Baral, Vaiva Imbrasaite, Vincent Y Zhao
arXiv, 2023
paper
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Retrieval-Augmented Parsing for Complex Graphs by Exploiting Structure and Uncertainty
Zi Lin, Quan Yuan, Panupong Pasupat, Jeremiah Liu, Jingbo Shang
EMNLP Findings, 2023
paper
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On Compositional Uncertainty Quantification for Seq2seq Graph Parsing
Zi Lin, Du Phan, Panupong Pasupat, Jeremiah Zhe Liu, Jingbo Shang
ICLR, 2023
paper
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PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions
Anthony Chen, Panupong Pasupat, Sameer Singh, Hongrae Lee, Kelvin Guu
arXiv, 2023
paper
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RARR: Researching and Revising What Language Models Say, Using Language Models
(Published title: "Attributed Text Generation via Post-hoc Research and Revision")
Luyu Gao, Zhuyun Dai, Panupong Pasupat, Anthony Chen, Arun Tejasvi Chaganty, Yicheng Fan, Vincent Y. Zhao, Ni Lao, Hongrae Lee, Da-Cheng Juan, Kelvin Guu
ACL, 2023
paper
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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
EMNLP, 2022
paper
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Meta-Learning Fast Weight Language Models
Kevin Clark, Kelvin Guu, Ming-Wei Chang, Panupong Pasupat, Geoffrey Hinton, Mohammad Norouzi
EMNLP, 2022
paper
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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
COLING, 2022
paper
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Improving Compositional Generalization with Latent Structure and Data Augmentation
Linlu Qiu*, Peter Shaw*, Panupong Pasupat, Paweł Krzysztof Nowak, Tal Linzen, Fei Sha, Kristina Toutanova
NAACL, 2022
paper
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Controllable Semantic Parsing via Retrieval Augmentation
Panupong Pasupat, Yuan Zhang, Kelvin Guu
EMNLP, 2021
paper
code
slides
poster
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Graph-Based Decoding for Task Oriented Semantic Parsing
Jeremy R. Cole, Nanjiang Jiang, Panupong Pasupat, Luheng He, Peter Shaw
EMNLP, 2021
paper
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QA-Driven Zero-shot Slot Filling with Weak Supervision Pretraining
Xinya Du, Luheng He, Qi Li, Dian Yu, Panupong Pasupat, Yuan Zhang
ACL, 2021
paper
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Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations
Jonathan Herzig, Peter Shaw, Ming-Wei Chang, Kelvin Guu, Panupong Pasupat, Yuan Zhang
arXiv, 2021
paper
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Few-shot Intent Classification and Slot Filling with Retrieved Examples
Dian Yu, Luheng He, Yuan Zhang, Xinya Du, Panupong Pasupat, Qi Li
NAACL, 2021
paper
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Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both?
Peter Shaw, Ming-Wei Chang, Panupong Pasupat, Kristina Toutanova
ACL, 2021
paper
code
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REALM: Retrieval-Augmented Language Model Pre-Training
Kelvin Guu*, Kenton Lee*, Zora Tung, Panupong Pasupat, Ming-Wei Chang
ICML, 2020
paper
blog post
code
At Stanford
At MIT
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Query Understanding Enhanced by Hierarchical Parsing Structures
Jingjing Liu, Panupong Pasupat, Yining Wang, Scott Cyphers, Jim Glass
ASRU, 2013
paper
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ASGARD: a Portable Architecture for Multilingual Dialogue Systems
Jingjing Liu, Panupong Pasupat, Scott Cyphers, Jim Glass
ICASSP, 2013
paper
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A Conversational Movie Search System Based on Conditional Random Fields
Jingjing Liu, Scott Cyphers, Panupong Pasupat, Ian Mcgraw, Jim Glass
Interspeech, 2012
paper