Kelvin Guu

According to our database, Kelvin Guu authored at least 27 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Few-Shot Recalibration of Language Models.

Xiang Lisa Li, Urvashi Khandelwal, Kelvin Guu

CoRR, 2024

2023

PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions.

Anthony Chen, Panupong Pasupat, Sameer Singh, Hongrae Lee, Kelvin Guu

CoRR, 2023

Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs.

Kelvin Guu, Albert Webson, Ellie Pavlick, Lucas Dixon, Ian Tenney, Tolga Bolukbasi

CoRR, 2023

Promptagator: Few-shot Dense Retrieval From 8 Examples.

Zhuyun Dai, Vincent Y. Zhao, Ji Ma, Yi Luan, Jianmo Ni, Jing Lu, Anton Bakalov, Kelvin Guu, Keith B. Hall, Ming-Wei Chang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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

Tracing Knowledge in Language Models Back to the Training Data.

Ekin Akyürek, Tolga Bolukbasi, Frederick Liu, Binbin Xiong, Ian Tenney, Jacob Andreas, Kelvin Guu

CoRR, 2022

Dialog Inpainting: Turning Documents into Dialogs.

Zhuyun Dai, Arun Tejasvi Chaganty, Vincent Y. Zhao, Aida Amini, Qazi Mamunur Rashid, Mike Green, Kelvin Guu

Proceedings of the International Conference on Machine Learning, 2022

Finetuned Language Models are Zero-Shot Learners.

Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, Quoc V. Le

Proceedings of the Tenth International Conference on Learning Representations, 2022

Meta-Learning Fast Weight Language Models.

Kevin Clark, Kelvin Guu, Ming-Wei Chang, Panupong Pasupat, Geoffrey E. Hinton, Mohammad Norouzi

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Tracing Knowledge in Language Models Back to the Training Data.

Ekin Akyürek, Tolga Bolukbasi, Frederick Liu, Binbin Xiong, Ian Tenney, Jacob Andreas, Kelvin Guu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations.

Jonathan Herzig, Peter Shaw, Ming-Wei Chang, Kelvin Guu, Panupong Pasupat, Yuan Zhang

CoRR, 2021

Neural Data Augmentation via Example Extrapolation.

Kenton Lee, Kelvin Guu, Luheng He, Tim Dozat, Hyung Won Chung

CoRR, 2021

Controllable Semantic Parsing via Retrieval Augmentation.

Panupong Pasupat, Yuan Zhang, Kelvin Guu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

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

REALM: Retrieval-Augmented Language Model Pre-Training.

Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, Ming-Wei Chang

CoRR, 2020

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned.

Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Retrieval Augmented Language Model Pre-Training.

Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, Ming-Wei Chang

Proceedings of the 37th International Conference on Machine Learning, 2020

Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models.

Dan Iter, Kelvin Guu, Larry Lansing, Dan Jurafsky

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

KERMIT: Generative Insertion-Based Modeling for Sequences.

William Chan, Nikita Kitaev, Kelvin Guu, Mitchell Stern, Jakob Uszkoreit

CoRR, 2019

2018

Generating Sentences by Editing Prototypes.

Kelvin Guu, Tatsunori B. Hashimoto, Yonatan Oren, Percy Liang

Trans. Assoc. Comput. Linguistics, 2018

Transforming Question Answering Datasets Into Natural Language Inference Datasets.

Dorottya Demszky, Kelvin Guu, Percy Liang

CoRR, 2018

A Retrieve-and-Edit Framework for Predicting Structured Outputs.

Tatsunori B. Hashimoto, Kelvin Guu, Yonatan Oren, Percy Liang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Reinforcement Learning on Web Interfaces using Workflow-Guided Exploration.

Evan Zheran Liu, Kelvin Guu, Panupong Pasupat, Tianlin Shi, Percy Liang

Proceedings of the 6th International Conference on Learning Representations, 2018

Mapping natural language commands to web elements.

Panupong Pasupat, Tian-Shun Jiang, Evan Zheran Liu, Kelvin Guu, Percy Liang

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood.

Kelvin Guu, Panupong Pasupat, Evan Zheran Liu, Percy Liang

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2015

Traversing Knowledge Graphs in Vector Space.

Kelvin Guu, John Miller, Percy Liang

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015