Lingua Manga: A Generic Large Language Model Centric System for Data Curation

Unsupervised Word Sense Disambiguation Rivaling Supervised Methods. In ACL

David Yarowsky. 1995 · 1995

Earlier work this paper cites.

CrowdDB: answering queries with crowdsourcing. In SIGMOD

Michael J. Franklin et al. 2011 · 2011

Earlier work this paper cites.

ZenCrowd: leveraging probabilistic reasoning and crowdsourcing techniques for large-scale entity linking. In WWW

Gianluca Demartini et al. 2012 · 2012

Earlier work this paper cites.

Data Curation at Scale: The Data Tamer System. In CIDR

Michael Stonebraker et al. 2013 · 2013

Earlier work this paper cites.

Big data curation

André Freitas and Edward Curry. 2016 · 2016

Earlier work this paper cites.

HoloClean: Holistic Data Repairs with Probabilistic Inference

Theodoros Rekatsinas et al. 2017 · 2017

Cited alongside, same era.

Deep Entity Matching with Pre-Trained Language Models

Yuliang Li et al. 2020b · 2020

Cited alongside, same era.

Evaluating Large Language Models Trained on Code

Mark Chen et al. 2021a · 2021

Cited alongside, same era.

Distilling Knowledge from Reader to Retriever for Question Answering. In ICLR

Gautier Izacard and Edouard Grave. 2021 · 2021

Cited alongside, same era.

Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference. In EACL

Timo Schick and Hinrich Schütze. 2021 · 2021

Cited alongside, same era.

The Magellan Data Repository

Sanjib et al. Das. [n.d.]

Cited in the paper.

Awesome ChatGPT Prompts

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Cited in the paper.

Language Models are Few-Shot Learners. In NeurIPS

Tom B. Brown et al. 2020a

Cited in the paper.

Capturing Semantics for Imputation with Pre-trained Language Models. In ICDE

Yinan Mei et al. 2021b

Cited in the paper.

Can Foundation Models Wrangle Your Data?

Avanika Narayan et al. 2022 · 2022

Later among the works it cites.

A Survey on Pretrained Language Models for Neural Code Intelligence

Yichen Xu and Yanqiao Zhu. 2022 · 2022

Later among the works it cites.

LLaMA: Open and Efficient Foundation Language Models

Hugo Touvron et al. 2023b · 2023

Closest in time.

Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

Pengfei Liu et al. 2023c · 2023

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Toolformer: Language Models Can Teach Themselves to Use Tools

Timo Schick et al. 2023d · 2023

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