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Vectorizing string entries for data processing on tables: when are
  larger language models better?

Vectorizing string entries for data processing on tables: when are larger language models better?

15 December 2023
Léo Grinsztajn
Edouard Oyallon
Myung Jun Kim
Gaël Varoquaux
ArXivPDFHTML

Papers citing "Vectorizing string entries for data processing on tables: when are larger language models better?"

5 / 5 papers shown
Title
PORTAL: Scalable Tabular Foundation Models via Content-Specific
  Tokenization
PORTAL: Scalable Tabular Foundation Models via Content-Specific Tokenization
Marco Spinaci
Marek Polewczyk
Johannes Hoffart
Markus C. Kohler
Sam Thelin
Tassilo Klein
LMTD
23
2
0
17 Oct 2024
FlexGen: High-Throughput Generative Inference of Large Language Models
  with a Single GPU
FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU
Ying Sheng
Lianmin Zheng
Binhang Yuan
Zhuohan Li
Max Ryabinin
...
Joseph E. Gonzalez
Percy Liang
Christopher Ré
Ion Stoica
Ce Zhang
141
365
0
13 Mar 2023
Text and Code Embeddings by Contrastive Pre-Training
Text and Code Embeddings by Contrastive Pre-Training
Arvind Neelakantan
Tao Xu
Raul Puri
Alec Radford
Jesse Michael Han
...
Tabarak Khan
Toki Sherbakov
Joanne Jang
Peter Welinder
Lilian Weng
SSL
AI4TS
201
412
0
24 Jan 2022
Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for
  Pairwise Sentence Scoring Tasks
Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks
Nandan Thakur
Nils Reimers
Johannes Daxenberger
Iryna Gurevych
190
237
0
16 Oct 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
220
4,424
0
23 Jan 2020
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