Kelvin Guu - RankMe

43 papers A* 9Journal 27Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	LOFT: Scalable and More Realistic Long-Context Evaluation. NAACL (Findings) 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
2025	J	`jnl`	Towards physician-centered oversight of conversational diagnostic AI. CoRR Elahe Vedadi, David G. T. Barrett, Natalie Harris, Ellery Wulczyn, Shashir Reddy, Roma Ruparel, Mike Schaekermann, Tim Strother, Ryutaro Tanno, Yash Sharma, Jihyeon Lee, Cían Hughes, Dylan Slack, Anil Palepu, Jan Freyberg, Khaled Saab, Valentin Liévin, Wei-Hung Weng, Tao Tu, Yun Liu, Nenad Tomasev, Kavita Kulkarni, S. Sara Mahdavi, Kelvin Guu, Joelle K. Barral, Dale R. Webster, James Manyika, Avinatan Hassidim, Katherine Chou, Yossi Matias, Pushmeet Kohli, Adam Rodman, Vivek Natarajan, Alan Karthikesalingam, David Stutz
2024	J	`jnl`	Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? CoRR 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
2024	J	`jnl`	Few-Shot Recalibration of Language Models. CoRR Xiang Lisa Li, Urvashi Khandelwal, Kelvin Guu
2023	J	`jnl`	PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions. CoRR Anthony Chen, Panupong Pasupat, Sameer Singh, Hongrae Lee, Kelvin Guu
2023	A*	`conf`	Promptagator: Few-shot Dense Retrieval From 8 Examples. ICLR Zhuyun Dai, Vincent Y. Zhao, Ji Ma, Yi Luan, Jianmo Ni, Jing Lu, Anton Bakalov, Kelvin Guu, Keith B. Hall, Ming-Wei Chang
2023	—	`conf`	RARR: Researching and Revising What Language Models Say, Using Language Models. ACL (1) 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
2023	J	`jnl`	Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs. CoRR Kelvin Guu, Albert Webson, Ellie Pavlick, Lucas Dixon, Ian Tenney, Tolga Bolukbasi
2022	J	`jnl`	Attributed Text Generation via Post-hoc Research and Revision. CoRR 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
2022	A*	`conf`	Dialog Inpainting: Turning Documents into Dialogs. ICML Zhuyun Dai, Arun Tejasvi Chaganty, Vincent Y. Zhao, Aida Amini, Qazi Mamunur Rashid, Mike Green, Kelvin Guu
2022	J	`jnl`	Dialog Inpainting: Turning Documents into Dialogs. CoRR Zhuyun Dai, Arun Tejasvi Chaganty, Vincent Y. Zhao, Aida Amini, Qazi Mamunur Rashid, Mike Green, Kelvin Guu
2022	A*	`conf`	Finetuned Language Models are Zero-Shot Learners. ICLR Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, Quoc V. Le
2022	A*	`conf`	Meta-Learning Fast Weight Language Models. EMNLP Kevin Clark, Kelvin Guu, Ming-Wei Chang, Panupong Pasupat, Geoffrey E. Hinton, Mohammad Norouzi
2022	J	`jnl`	Meta-Learning Fast Weight Language Models. CoRR Kevin Clark, Kelvin Guu, Ming-Wei Chang, Panupong Pasupat, Geoffrey E. Hinton, Mohammad Norouzi
2022	J	`jnl`	Promptagator: Few-shot Dense Retrieval From 8 Examples. CoRR Zhuyun Dai, Vincent Y. Zhao, Ji Ma, Yi Luan, Jianmo Ni, Jing Lu, Anton Bakalov, Kelvin Guu, Keith B. Hall, Ming-Wei Chang
2022	—	`conf`	Towards Tracing Knowledge in Language Models Back to the Training Data. EMNLP (Findings) Ekin Akyürek, Tolga Bolukbasi, Frederick Liu, Binbin Xiong, Ian Tenney, Jacob Andreas, Kelvin Guu
2022	J	`jnl`	Tracing Knowledge in Language Models Back to the Training Data. CoRR Ekin Akyürek, Tolga Bolukbasi, Frederick Liu, Binbin Xiong, Ian Tenney, Jacob Andreas, Kelvin Guu
2021	—	`conf`	Controllable Semantic Parsing via Retrieval Augmentation. EMNLP (1) Panupong Pasupat, Yuan Zhang, Kelvin Guu
2021	J	`jnl`	Controllable Semantic Parsing via Retrieval Augmentation. CoRR Panupong Pasupat, Yuan Zhang, Kelvin Guu
2021	J	`jnl`	Finetuned Language Models Are Zero-Shot Learners. CoRR Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, Quoc V. Le
2021	J	`jnl`	NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR 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 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
2021	J	`jnl`	Neural Data Augmentation via Example Extrapolation. CoRR Kenton Lee, Kelvin Guu, Luheng He, Tim Dozat, Hyung Won Chung
2021	J	`jnl`	Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations. CoRR Jonathan Herzig, Peter Shaw, Ming-Wei Chang, Kelvin Guu, Panupong Pasupat, Yuan Zhang
2020	J	`jnl`	Learning Abstract Models for Strategic Exploration and Fast Reward Transfer. CoRR Evan Zheran Liu, Ramtin Keramati, Sudarshan Seshadri, Kelvin Guu, Panupong Pasupat, Emma Brunskill, Percy Liang
2020	—	`conf`	NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) 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 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
2020	A*	`conf`	Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models. ACL Dan Iter, Kelvin Guu, Larry Lansing, Dan Jurafsky
2020	J	`jnl`	Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models. CoRR Dan Iter, Kelvin Guu, Larry Lansing, Dan Jurafsky
2020	J	`jnl`	REALM: Retrieval-Augmented Language Model Pre-Training. CoRR Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, Ming-Wei Chang
2020	A*	`conf`	Retrieval Augmented Language Model Pre-Training. ICML Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, Ming-Wei Chang
2019	J	`jnl`	KERMIT: Generative Insertion-Based Modeling for Sequences. CoRR William Chan, Nikita Kitaev, Kelvin Guu, Mitchell Stern, Jakob Uszkoreit
2018	A*	`conf`	A Retrieve-and-Edit Framework for Predicting Structured Outputs. NeurIPS Tatsunori B. Hashimoto, Kelvin Guu, Yonatan Oren, Percy Liang
2018	J	`jnl`	A Retrieve-and-Edit Framework for Predicting Structured Outputs. CoRR Tatsunori B. Hashimoto, Kelvin Guu, Yonatan Oren, Percy Liang
2018	J	`jnl`	Generating Sentences by Editing Prototypes. Trans. Assoc. Comput. Linguistics Kelvin Guu, Tatsunori B. Hashimoto, Yonatan Oren, Percy Liang
2018	J	`jnl`	Mapping Natural Language Commands to Web Elements. CoRR Panupong Pasupat, Tian-Shun Jiang, Evan Zheran Liu, Kelvin Guu, Percy Liang
2018	A*	`conf`	Mapping natural language commands to web elements. EMNLP Panupong Pasupat, Tian-Shun Jiang, Evan Zheran Liu, Kelvin Guu, Percy Liang
2018	J	`jnl`	Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration. CoRR Evan Zheran Liu, Kelvin Guu, Panupong Pasupat, Tianlin Shi, Percy Liang
2018	—	`conf`	Reinforcement Learning on Web Interfaces using Workflow-Guided Exploration. ICLR (Poster) Evan Zheran Liu, Kelvin Guu, Panupong Pasupat, Tianlin Shi, Percy Liang
2018	J	`jnl`	Transforming Question Answering Datasets Into Natural Language Inference Datasets. CoRR Dorottya Demszky, Kelvin Guu, Percy Liang
2017	—	`conf`	From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood. ACL (1) Kelvin Guu, Panupong Pasupat, Evan Zheran Liu, Percy Liang
2017	J	`jnl`	From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood. CoRR Kelvin Guu, Panupong Pasupat, Evan Zheran Liu, Percy Liang
2017	J	`jnl`	Generating Sentences by Editing Prototypes. CoRR Kelvin Guu, Tatsunori B. Hashimoto, Yonatan Oren, Percy Liang
2015	A*	`conf`	Traversing Knowledge Graphs in Vector Space. EMNLP Kelvin Guu, John Miller, Percy Liang
2015	J	`jnl`	Traversing Knowledge Graphs in Vector Space. CoRR Kelvin Guu, John Miller, Percy Liang