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Pasupat, Panupong

  1. REALM: Retrieval-Augmented Language Model Pre-Training
    2020/02/10 by Kelvin Guu, Kenton Lee, Guu, Kelvin +7 · 259 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Speech Recognition and Synthesis
  2. Compositional Semantic Parsing on Semi-Structured Tables
    2015/08/03 by Panupong Pasupat, Pasupat, Panupong, Percy Liang +1 · 81 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Semantic Web and Ontologies
  3. Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration
    2018/02/24 by Evan Zheran Liu, Liu, Evan Zheran, Kelvin Guu +7 · 36 citations
    Computer Science · #Data Stream Mining Techniques #Reinforcement Learning in Robotics #Mobile Crowdsensing and Crowdsourcing
  4. SPoC: Search-based Pseudocode to Code
    2019/06/12 by Sumith Kulal, Panupong Pasupat, Kulal, Sumith +11 · 31 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Programming Languages (cs.PL) #Software Engineering Research #Software Reliability and Analysis Research #Software Testing and Debugging Techniques
  5. Large Language Models as Analogical Reasoners
    2023/10/03 by Michihiro Yasunaga, Yasunaga, Michihiro, Xinyun Chen +14 · 2 voices · 26 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling
  6. RARR: Researching and Revising What Language Models Say, Using Language Models
    2022/10/17 by Luyu Gao, Gao, Luyu, Zhuyun Dai +19 · 24 citations
    Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  7. From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces
    2023/05/31 by Peter Shaw, Mandar Joshi, Shaw, Peter +15 · 1 voice · 12 citations
    Computer Science · #AI in Service Interactions #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Multimodal Machine Learning Applications #cs.CL #cs.CV #cs.HC #cs.LG
  8. Dr.ICL: Demonstration-Retrieved In-context Learning
    2023/05/23 by Man Luo, Xin Xu, Luo, Man +13 · 7 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Machine Learning and Algorithms
  9. In-context Learning with Retrieved Demonstrations for Language Models: A Survey
    2024/01/21 by Man Luo, Luo, Man, Xin Xu +7 · 6 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  10. From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood
    2017/04/25 by Guu, Kelvin, Pasupat, Panupong, Liu, Evan Zheran +1 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  11. Mapping Natural Language Commands to Web Elements
    2018/08/28 by Pasupat, Panupong, Jiang, Tian-Shun, Liu, Evan Zheran +2 · 2 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  12. Simpler Context-Dependent Logical Forms via Model Projections
    2016/06/16 by Reginald Long, Panupong Pasupat, Long, Reginald +3 · 3 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.6 #I.2.7 #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
  13. Compositional Generalization and Natural Language Variation: Can a\n Semantic Parsing Approach Handle Both?
    2020/10/23 by Peter Shaw, Ming‐Wei Chang, Shaw, Peter +5 · 2 citations
    Computer Science · Psychology · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Second Language Acquisition and Learning #Topic Modeling
  14. Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?
    2024/06/19 by Jinhyuk Lee, Anthony Chen, Lee, Jinhyuk +35 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Natural Language Processing Techniques #Topic Modeling
  15. Improving Semantic Parsing for Task Oriented Dialog
    2019/02/15 by Einolghozati, Arash, Pasupat, Panupong, Gupta, Sonal +4 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  16. Few-shot Intent Classification and Slot Filling with Retrieved Examples
    2021/04/12 by Yu, Dian, He, Luheng, Zhang, Yuan +3 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  17. Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations
    2021/04/15 by Herzig, Jonathan, Shaw, Peter, Chang, Ming-Wei +3 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  18. Improving Compositional Generalization with Latent Structure and Data Augmentation
    2021/12/14 by Qiu, Linlu, Shaw, Peter, Pasupat, Panupong +4 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  19. Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing
    2022/05/24 by Qiu, Linlu, Shaw, Peter, Pasupat, Panupong +5 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  20. Meta-Learning Fast Weight Language Models
    2022/12/05 by Clark, Kevin, Guu, Kelvin, Chang, Ming-Wei +3 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  21. Generate-and-Retrieve: use your predictions to improve retrieval for semantic parsing
    2022/09/29 by Zemlyanskiy, Yury, de Jong, Michiel, Ainslie, Joshua +5 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  22. Macro Grammars and Holistic Triggering for Efficient Semantic Parsing
    2017/07/25 by Yuchen Zhang, Panupong Pasupat, Zhang, Yuchen +3 · 1 citation
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Multimodal Machine Learning Applications