Panupong Pasupat

Panupong Pasupat

Stanford University

H-index: 24

North America-United States

About Panupong Pasupat

Panupong Pasupat, With an exceptional h-index of 24 and a recent h-index of 22 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Natural Language Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

From pixels to ui actions: Learning to follow instructions via graphical user interfaces

In-context learning with retrieved demonstrations for language models: A survey

Retrieval-Augmented Parsing for Complex Graphs by Exploiting Structure and Uncertainty

Large language models as analogical reasoners

Purr: Efficiently editing language model hallucinations by denoising language model corruptions

Dr. icl: Demonstration-retrieved in-context learning

Meta-learning fast weight language models

Rarr: Researching and revising what language models say, using language models

Panupong Pasupat Information

University

Position

Graduate Student

Citations(all)

3385

Citations(since 2020)

2979

Cited By

1027

hIndex(all)

24

hIndex(since 2020)

22

i10Index(all)

31

i10Index(since 2020)

30

Email

University Profile Page

Google Scholar

Panupong Pasupat Skills & Research Interests

Natural Language Processing

Top articles of Panupong Pasupat

From pixels to ui actions: Learning to follow instructions via graphical user interfaces

Advances in Neural Information Processing Systems

2024/2/13

In-context learning with retrieved demonstrations for language models: A survey

arXiv preprint arXiv:2401.11624

2024/1/21

Retrieval-Augmented Parsing for Complex Graphs by Exploiting Structure and Uncertainty

2023/12

Large language models as analogical reasoners

International Conference on Learning Representations (ICLR)

2024

Purr: Efficiently editing language model hallucinations by denoising language model corruptions

arXiv preprint arXiv:2305.14908

2023/5/24

Dr. icl: Demonstration-retrieved in-context learning

arXiv preprint arXiv:2305.14128

2023/5/23

Meta-learning fast weight language models

arXiv preprint arXiv:2212.02475

2022/12/5

Rarr: Researching and revising what language models say, using language models

arXiv preprint arXiv:2210.08726

2022/10/17

Panupong Pasupat
Panupong Pasupat

H-Index: 14

Anthony Chen
Anthony Chen

H-Index: 1

On Compositional Uncertainty Quantification for Seq2seq Graph Parsing

2023

Generate-and-retrieve: Use your predictions to improve retrieval for semantic parsing

arXiv preprint arXiv:2209.14899

2022/9/29

Evaluating the impact of model scale for compositional generalization in semantic parsing

arXiv preprint arXiv:2205.12253

2022/5/24

Improving compositional generalization with latent structure and data augmentation

arXiv preprint arXiv:2112.07610

2021/12/14

Peter Shaw
Peter Shaw

H-Index: 7

Panupong Pasupat
Panupong Pasupat

H-Index: 14

Fei Sha
Fei Sha

H-Index: 38

Graph-based decoding for task oriented semantic parsing

arXiv preprint arXiv:2109.04587

2021/9/9

Panupong Pasupat
Panupong Pasupat

H-Index: 14

Peter Shaw
Peter Shaw

H-Index: 7

QA-driven zero-shot slot filling with weak supervision pretraining

2021

Retrieval-augmented language model pre-training and fine-tuning

2021/5/11

Unlocking compositional generalization in pre-trained models using intermediate representations

arXiv preprint arXiv:2104.07478

2021/4/15

Few-shot intent classification and slot filling with retrieved examples

arXiv preprint arXiv:2104.05763

2021/4/12

Retrieval augmented language model pre-training

2020/11/21

Panupong Pasupat
Panupong Pasupat

H-Index: 14

Compositional generalization and natural language variation: Can a semantic parsing approach handle both?

arXiv preprint arXiv:2010.12725

2020/10/24

Learning abstract models for strategic exploration and fast reward transfer

arXiv preprint arXiv:2007.05896

2020/7/12

See List of Professors in Panupong Pasupat University(Stanford University)

Co-Authors

academic-engine