Guu, Kelvin

Finetuned Language Models Are Zero-Shot Learners

Wei, J., Bosma, M., Zhao, V. Y., Guu, K., Yu, A. W., Lester, B., Du, N., Dai, A. M., & Le, Q. V. (2021) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 1,101

Gemini: A Family of Highly Capable Multimodal Models

Gemini Team, Anil, R., Borgeaud, S., Alayrac, J.-B., Yu, J., Soricut, R., Schalkwyk, J., Dai, A. M., Hauth, A., Millican, K., et al. (2023) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 990

REALM: Retrieval-Augmented Language Model Pre-Training

Guu, K., Lee, K., Tung, Z., Pasupat, P., & Chang, M.-W. (2020) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 574

Traversing Knowledge Graphs in Vector Space

Guu, K., Miller, J., & Liang, P. (2015) · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing

Advanced Graph Neural NetworksTopic Modeling

Cited by 319

Generating Sentences by Editing Prototypes

Guu, K., Hashimoto, T. B., Oren, Y., & Liang, P. (2018) · Transactions of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 300

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

Gao, L., Dai, Z., Pasupat, P., Chen, A., Chaganty, A. T., Fan, Y., Zhao, V., Lao, N., Lee, H., Juan, D.-C., et al. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 141

A Retrieve-and-Edit Framework for Predicting Structured Outputs

Hashimoto, T. B., Guu, K., Oren, Y., & Liang, P. (2018) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 126

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 69

Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration

Liu, E. Z., Guu, K., Pasupat, P., Shi, T., & Liang, P. (2018) · arXiv

Reinforcement Learning in RoboticsWeb Data Mining and Analysis

Cited by 47

Promptagator: Few-shot Dense Retrieval From 8 Examples

Dai, Z., Zhao, V. Y., Ma, J., Luan, Y., Ni, J., Lu, J., Bakalov, A., Guu, K., Hall, K. B., & Chang, M.-W. (2022) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 43

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

Chen, A., Pasupat, P., Singh, S., Lee, H., & Guu, K. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 7