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2020 – today
- 2024
[i25]Xiang Lisa Li, Urvashi Khandelwal, Kelvin Guu:
Few-Shot Recalibration of Language Models. CoRR abs/2403.18286 (2024)- [i24]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, Panupong Pasupat, Aida Amini, Jeremy R. Cole, Sebastian Riedel, Iftekhar Naim, Ming-Wei Chang, Kelvin Guu:
Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? CoRR abs/2406.13121 (2024) - 2023
- [c15]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:
RARR: Researching and Revising What Language Models Say, Using Language Models. ACL (1) 2023: 16477-16508 - [c14]Zhuyun Dai, Vincent Y. Zhao, Ji Ma, Yi Luan, Jianmo Ni, Jing Lu, Anton Bakalov, Kelvin Guu, Keith B. Hall, Ming-Wei Chang:
Promptagator: Few-shot Dense Retrieval From 8 Examples. ICLR 2023 - [i23]Kelvin Guu, Albert Webson, Ellie Pavlick, Lucas Dixon, Ian Tenney, Tolga Bolukbasi:
Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs. CoRR abs/2303.08114 (2023) - [i22]Anthony Chen, Panupong Pasupat, Sameer Singh, Hongrae Lee, Kelvin Guu:
PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions. CoRR abs/2305.14908 (2023) - 2022
- [c13]Ekin Akyürek, Tolga Bolukbasi, Frederick Liu, Binbin Xiong, Ian Tenney, Jacob Andreas, Kelvin Guu:
Towards Tracing Knowledge in Language Models Back to the Training Data. EMNLP (Findings) 2022: 2429-2446 - [c12]Kevin Clark, Kelvin Guu, Ming-Wei Chang, Panupong Pasupat, Geoffrey E. Hinton, Mohammad Norouzi:
Meta-Learning Fast Weight Language Models. EMNLP 2022: 9751-9757 - [c11]Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, Quoc V. Le:
Finetuned Language Models are Zero-Shot Learners. ICLR 2022 - [c10]Zhuyun Dai, Arun Tejasvi Chaganty, Vincent Y. Zhao, Aida Amini, Qazi Mamunur Rashid, Mike Green, Kelvin Guu:
Dialog Inpainting: Turning Documents into Dialogs. ICML 2022: 4558-4586 - [i21]Zhuyun Dai, Arun Tejasvi Chaganty, Vincent Y. Zhao, Aida Amini, Qazi Mamunur Rashid, Mike Green, Kelvin Guu:
Dialog Inpainting: Turning Documents into Dialogs. CoRR abs/2205.09073 (2022) - [i20]Ekin Akyürek, Tolga Bolukbasi, Frederick Liu, Binbin Xiong, Ian Tenney, Jacob Andreas, Kelvin Guu:
Tracing Knowledge in Language Models Back to the Training Data. CoRR abs/2205.11482 (2022) - [i19]Zhuyun Dai, Vincent Y. Zhao, Ji Ma, Yi Luan, Jianmo Ni, Jing Lu, Anton Bakalov, Kelvin Guu, Keith B. Hall
, Ming-Wei Chang:
Promptagator: Few-shot Dense Retrieval From 8 Examples. CoRR abs/2209.11755 (2022) - [i18]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:
Attributed Text Generation via Post-hoc Research and Revision. CoRR abs/2210.08726 (2022) - [i17]Kevin Clark, Kelvin Guu, Ming-Wei Chang, Panupong Pasupat, Geoffrey E. Hinton, Mohammad Norouzi:
Meta-Learning Fast Weight Language Models. CoRR abs/2212.02475 (2022) - 2021
- [c9]Panupong Pasupat, Yuan Zhang, Kelvin Guu:
Controllable Semantic Parsing via Retrieval Augmentation. EMNLP (1) 2021: 7683-7698 - [i16]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:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR abs/2101.00133 (2021) - [i15]Kenton Lee, Kelvin Guu, Luheng He, Tim Dozat, Hyung Won Chung:
Neural Data Augmentation via Example Extrapolation. CoRR abs/2102.01335 (2021) - [i14]Jonathan Herzig, Peter Shaw, Ming-Wei Chang, Kelvin Guu, Panupong Pasupat, Yuan Zhang:
Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations. CoRR abs/2104.07478 (2021) - [i13]Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, Quoc V. Le:
Finetuned Language Models Are Zero-Shot Learners. CoRR abs/2109.01652 (2021) - [i12]Panupong Pasupat, Yuan Zhang, Kelvin Guu:
Controllable Semantic Parsing via Retrieval Augmentation. CoRR abs/2110.08458 (2021) - 2020
- [c8]Dan Iter, Kelvin Guu, Larry Lansing, Dan Jurafsky:
Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models. ACL 2020: 4859-4870 - [c7]Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, Ming-Wei Chang:
Retrieval Augmented Language Model Pre-Training. ICML 2020: 3929-3938 - [c6]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:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) 2020: 86-111 - [i11]Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, Ming-Wei Chang:
REALM: Retrieval-Augmented Language Model Pre-Training. CoRR abs/2002.08909 (2020) - [i10]Dan Iter, Kelvin Guu, Larry Lansing, Dan Jurafsky:
Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models. CoRR abs/2005.10389 (2020) - [i9]Evan Zheran Liu, Ramtin Keramati, Sudarshan Seshadri, Kelvin Guu, Panupong Pasupat, Emma Brunskill, Percy Liang:
Learning Abstract Models for Strategic Exploration and Fast Reward Transfer. CoRR abs/2007.05896 (2020)
2010 – 2019
- 2019
- [i8]William Chan, Nikita Kitaev, Kelvin Guu, Mitchell Stern, Jakob Uszkoreit:
KERMIT: Generative Insertion-Based Modeling for Sequences. CoRR abs/1906.01604 (2019) - 2018
- [j1]Kelvin Guu, Tatsunori B. Hashimoto, Yonatan Oren, Percy Liang:
Generating Sentences by Editing Prototypes. Trans. Assoc. Comput. Linguistics 6: 437-450 (2018) - [c5]Panupong Pasupat, Tian-Shun Jiang, Evan Zheran Liu, Kelvin Guu, Percy Liang:
Mapping natural language commands to web elements. EMNLP 2018: 4970-4976 - [c4]Evan Zheran Liu, Kelvin Guu, Panupong Pasupat, Tianlin Shi, Percy Liang:
Reinforcement Learning on Web Interfaces using Workflow-Guided Exploration. ICLR (Poster) 2018 - [c3]Tatsunori B. Hashimoto, Kelvin Guu, Yonatan Oren, Percy Liang:
A Retrieve-and-Edit Framework for Predicting Structured Outputs. NeurIPS 2018: 10073-10083 - [i7]Evan Zheran Liu, Kelvin Guu, Panupong Pasupat, Tianlin Shi, Percy Liang:
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration. CoRR abs/1802.08802 (2018) - [i6]Panupong Pasupat, Tian-Shun Jiang, Evan Zheran Liu, Kelvin Guu, Percy Liang:
Mapping Natural Language Commands to Web Elements. CoRR abs/1808.09132 (2018) - [i5]Dorottya Demszky, Kelvin Guu, Percy Liang:
Transforming Question Answering Datasets Into Natural Language Inference Datasets. CoRR abs/1809.02922 (2018) - [i4]Tatsunori B. Hashimoto, Kelvin Guu, Yonatan Oren, Percy Liang:
A Retrieve-and-Edit Framework for Predicting Structured Outputs. CoRR abs/1812.01194 (2018) - 2017
- [c2]Kelvin Guu, Panupong Pasupat, Evan Zheran Liu, Percy Liang:
From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood. ACL (1) 2017: 1051-1062 - [i3]Kelvin Guu, Panupong Pasupat, Evan Zheran Liu, Percy Liang:
From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood. CoRR abs/1704.07926 (2017) - [i2]Kelvin Guu, Tatsunori B. Hashimoto, Yonatan Oren, Percy Liang:
Generating Sentences by Editing Prototypes. CoRR abs/1709.08878 (2017) - 2015
- [c1]Kelvin Guu, John Miller, Percy Liang:
Traversing Knowledge Graphs in Vector Space. EMNLP 2015: 318-327 - [i1]Kelvin Guu, John Miller, Percy Liang:
Traversing Knowledge Graphs in Vector Space. CoRR abs/1506.01094 (2015)
Coauthor Index
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