A Conversational Movie Search System Based on Conditional Random Fields. - Jingjing Liu; Scott Cyphers; Panupong Pasupat; Ian McGraw; James R. Glass (INTERSPEECH, 2012)

Automating Crowd-supervised Learning for Spoken Language Systems. - Ian McGraw; Scott Cyphers; Panupong Pasupat; Jingjing Liu; James R. Glass (INTERSPEECH, 2012)

Query understanding enhanced by hierarchical parsing structures. - Jingjing Liu; Panupong Pasupat; Yining Wang; Scott Cyphers; James R. Glass (ASRU, 2013)

Asgard: A portable architecture for multilingual dialogue systems. - Jingjing Liu; Panupong Pasupat; Scott Cyphers; James R. Glass (ICASSP, 2013)

Zero-shot Entity Extraction from Web Pages. - Panupong Pasupat; Percy Liang (ACL (1), 2014)

Enriching Word Embeddings Using Knowledge Graph for Semantic Tagging in Conversational Dialog Systems. - Asli Celikyilmaz; Dilek Hakkani-Tür; Panupong Pasupat; Ruhi Sarikaya (AAAI Spring Symposia, 2015)

Compositional Semantic Parsing on Semi-Structured Tables. - Panupong Pasupat; Percy Liang (ACL (1), 2015)

Unsupervised relation detection using automatic alignment of query patterns extracted from knowledge graphs and query click logs. - Panupong Pasupat; Dilek Hakkani-Tür (INTERSPEECH, 2015)

Bootstrapped Self Training for Knowledge Base Population. - Gabor Angeli; Victor Zhong; Danqi Chen 001; Arun Tejasvi Chaganty; Jason Bolton; Melvin Jose Johnson Premkumar; Panupong Pasupat; Sonal Gupta; Christopher D. Manning (TAC, 2015)

Simpler Context-Dependent Logical Forms via Model Projections. - Reginald Long; Panupong Pasupat; Percy Liang (ACL (1), 2016)

Inferring Logical Forms From Denotations. - Panupong Pasupat; Percy Liang (ACL (1), 2016)

From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood. - Kelvin Guu; Panupong Pasupat; Evan Zheran Liu; Percy Liang (ACL (1), 2017)

Macro Grammars and Holistic Triggering for Efficient Semantic Parsing. - Yuchen Zhang 002; Panupong Pasupat; Percy Liang (EMNLP, 2017)

Mapping natural language commands to web elements. - Panupong Pasupat; Tian-Shun Jiang; Evan Zheran Liu; Kelvin Guu; Percy Liang (EMNLP, 2018)

Reinforcement Learning on Web Interfaces using Workflow-Guided Exploration. - Evan Zheran Liu; Kelvin Guu; Panupong Pasupat; Tianlin Shi; Percy Liang (ICLR (Poster), 2018)

Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog. - Panupong Pasupat; Sonal Gupta; Karishma Mandyam; Rushin Shah; Mike Lewis; Luke Zettlemoyer (EMNLP/IJCNLP (1), 2019)

SPoC: Search-based Pseudocode to Code. - Sumith Kulal; Panupong Pasupat; Kartik Chandra; Mina Lee 002; Oded Padon; Alex Aiken; Percy Liang (NeurIPS, 2019)

Improving Semantic Parsing for Task Oriented Dialog. - Arash Einolghozati; Panupong Pasupat; Sonal Gupta; Rushin Shah; Mrinal Mohit; Mike Lewis; Luke Zettlemoyer (CoRR, 2019)

Natural language interfaces for semi-structured web pages. - Panupong Pasupat (2019)

Retrieval Augmented Language Model Pre-Training. - Kelvin Guu; Kenton Lee; Zora Tung; Panupong Pasupat; Ming-Wei Chang (ICML, 2020)

REALM: Retrieval-Augmented Language Model Pre-Training. - Kelvin Guu; Kenton Lee; Zora Tung; Panupong Pasupat; Ming-Wei Chang (CoRR, 2020)

Learning Abstract Models for Strategic Exploration and Fast Reward Transfer. - Evan Zheran Liu; Ramtin Keramati; Sudarshan Seshadri; Kelvin Guu; Panupong Pasupat; Emma Brunskill; Percy Liang (CoRR, 2020)

QA-Driven Zero-shot Slot Filling with Weak Supervision Pretraining. - Xinya Du; Luheng He; Qi Li; Dian Yu; Panupong Pasupat; Yuan Zhang 001 (ACL/IJCNLP (2), 2021)

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)

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

Controllable Semantic Parsing via Retrieval Augmentation. - Panupong Pasupat; Yuan Zhang 001; Kelvin Guu (EMNLP (1), 2021)

Few-shot Intent Classification and Slot Filling with Retrieved Examples. - Dian Yu; Luheng He; Yuan Zhang 001; Xinya Du; Panupong Pasupat; Qi Li (NAACL-HLT, 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)

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)

Meta-Learning Fast Weight Language Models. - Kevin Clark; Kelvin Guu; Ming-Wei Chang; Panupong Pasupat; Geoffrey E. Hinton; Mohammad Norouzi 002 (EMNLP, 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)

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 (CoRR, 2022)

RARR: Researching and Revising What Language Models Say, Using Language Models. - 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 (1), 2023)

Retrieval-Augmented Parsing for Complex Graphs by Exploiting Structure and Uncertainty. - Zi Lin; Quan Yuan 001; Panupong Pasupat; Jeremiah Z. Liu; Jingbo Shang (EMNLP (Findings), 2023)

On Compositional Uncertainty Quantification for Seq2seq Graph Parsing. - Zi Lin; Du Phan; Panupong Pasupat; Jeremiah Zhe Liu; Jingbo Shang (ICLR, 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)

PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions. - Anthony Chen; Panupong Pasupat; Sameer Singh 001; Hongrae Lee; Kelvin Guu (CoRR, 2023)

Large Language Models as Analogical Reasoners. - Michihiro Yasunaga; Xinyun Chen; Yujia Li; Panupong Pasupat; Jure Leskovec; Percy Liang; Ed H. Chi; Denny Zhou (ICLR, 2024)

Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? - Jinhyuk Lee; Anthony Chen; Zhuyun Dai; Dheeru Dua; Devendra Singh Sachan; Michael Boratko; Yi Luan; Sébastien M. R. Arnold; Vincent Perot; Siddharth Dalmia; Hexiang Hu; Xudong Lin 008; et al. (CoRR, 2024)

Dr.ICL: Demonstration-Retrieved In-context Learning. - Man Luo 003; Xin Xu; Zhuyun Dai; Panupong Pasupat; Mehran Kazemi; Chitta Baral; Vaiva Imbrasaite; Vincent Y. Zhao (Data Intell., 2024)

In-context Learning with Retrieved Demonstrations for Language Models: A Survey. - Man Luo 003; Xin Xu; Yue Liu; Panupong Pasupat; Mehran Kazemi (Trans. Mach. Learn. Res., 2024)

LOFT: Scalable and More Realistic Long-Context Evaluation. - Jinhyuk Lee; Anthony Chen; Zhuyun Dai; Dheeru Dua; Devendra Singh Sachan; Michael Boratko; Yi Luan; Sébastien M. R. Arnold; Vincent Perot; Siddharth Dalmia; Hexiang Hu; Xudong Lin 008; et al. (NAACL (Findings), 2025)