Kelvin Guu

According to our database1, Kelvin Guu authored at least 28 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?
CoRR, 2024

Few-Shot Recalibration of Language Models.
CoRR, 2024

2023
PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions.
CoRR, 2023

Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs.
CoRR, 2023

Promptagator: Few-shot Dense Retrieval From 8 Examples.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

RARR: Researching and Revising What Language Models Say, Using Language Models.
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.
CoRR, 2022

Tracing Knowledge in Language Models Back to the Training Data.
CoRR, 2022

Dialog Inpainting: Turning Documents into Dialogs.
Proceedings of the International Conference on Machine Learning, 2022

Finetuned Language Models are Zero-Shot Learners.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Meta-Learning Fast Weight Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Tracing Knowledge in Language Models Back to the Training Data.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations.
CoRR, 2021

Neural Data Augmentation via Example Extrapolation.
CoRR, 2021

Controllable Semantic Parsing via Retrieval Augmentation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Learning Abstract Models for Strategic Exploration and Fast Reward Transfer.
CoRR, 2020

REALM: Retrieval-Augmented Language Model Pre-Training.
CoRR, 2020


Retrieval Augmented Language Model Pre-Training.
Proceedings of the 37th International Conference on Machine Learning, 2020

Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
KERMIT: Generative Insertion-Based Modeling for Sequences.
CoRR, 2019

2018
Generating Sentences by Editing Prototypes.
Trans. Assoc. Comput. Linguistics, 2018

Transforming Question Answering Datasets Into Natural Language Inference Datasets.
CoRR, 2018

A Retrieve-and-Edit Framework for Predicting Structured Outputs.
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.
Proceedings of the 6th International Conference on Learning Representations, 2018

Mapping natural language commands to web elements.
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.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2015
Traversing Knowledge Graphs in Vector Space.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015


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