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Data-Centric AI in the Age of Large Language Models

Data-Centric AI in the Age of Large Language Models

20 June 2024
Xinyi Xu
Zhaoxuan Wu
Rui Qiao
Arun Verma
Yao Shu
Jingtan Wang
Xinyuan Niu
Zhenfeng He
Jiangwei Chen
Zijian Zhou
Gregory Kang Ruey Lau
Hieu Dao
Lucas Agussurja
Rachael Hwee Ling Sim
Xiaoqiang Lin
Wenyang Hu
Zhongxiang Dai
Pang Wei Koh
Bryan Kian Hsiang Low
    ALM
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Papers citing "Data-Centric AI in the Age of Large Language Models"

19 / 19 papers shown
Title
LESS: Selecting Influential Data for Targeted Instruction Tuning
LESS: Selecting Influential Data for Targeted Instruction Tuning
Mengzhou Xia
Sadhika Malladi
Suchin Gururangan
Sanjeev Arora
Danqi Chen
68
180
0
06 Feb 2024
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
DeepSeek-AI Xiao Bi
:
Xiao Bi
Deli Chen
Guanting Chen
...
Yao Zhao
Shangyan Zhou
Shunfeng Zhou
Qihao Zhu
Yuheng Zou
LRM
ALM
133
298
0
05 Jan 2024
Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges
Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges
Nianwen Si
Hao Zhang
Heyu Chang
Wenlin Zhang
Dan Qu
Weiqiang Zhang
KELM
MU
68
26
0
27 Nov 2023
Holistic Evaluation of Text-To-Image Models
Holistic Evaluation of Text-To-Image Models
Tony Lee
Michihiro Yasunaga
Chenlin Meng
Yifan Mai
Joon Sung Park
...
Jun-Yan Zhu
Fei-Fei Li
Jiajun Wu
Stefano Ermon
Percy Liang
128
124
0
07 Nov 2023
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark
  for Language Model Evaluation
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation
Zexue He
Yu-Xiang Wang
An Yan
Yao Liu
Eric Y. Chang
Amilcare Gentili
Julian McAuley
Chun-Nan Hsu
ELM
31
14
0
21 Oct 2023
Who's Harry Potter? Approximate Unlearning in LLMs
Who's Harry Potter? Approximate Unlearning in LLMs
Ronen Eldan
M. Russinovich
MU
MoMe
101
171
0
03 Oct 2023
WASA: WAtermark-based Source Attribution for Large Language
  Model-Generated Data
WASA: WAtermark-based Source Attribution for Large Language Model-Generated Data
Jingtan Wang
Xinyang Lu
Zitong Zhao
Zhongxiang Dai
Chuan-Sheng Foo
See-Kiong Ng
K. H. Low
WaLM
44
9
0
01 Oct 2023
Data Selection for Fine-tuning Large Language Models Using Transferred
  Shapley Values
Data Selection for Fine-tuning Large Language Models Using Transferred Shapley Values
S. Schoch
Ritwick Mishra
Yangfeng Ji
TDI
69
18
0
16 Jun 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less
  Training Data and Smaller Model Sizes
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
Lokesh Nagalapatti
Chun-Liang Li
Chih-Kuan Yeh
Hootan Nakhost
Yasuhisa Fujii
Alexander Ratner
Ranjay Krishna
Chen-Yu Lee
Tomas Pfister
ALM
198
283
0
03 May 2023
Simfluence: Modeling the Influence of Individual Training Examples by
  Simulating Training Runs
Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs
Kelvin Guu
Albert Webson
Ellie Pavlick
Lucas Dixon
Ian Tenney
Tolga Bolukbasi
TDI
63
33
0
14 Mar 2023
ReAct: Synergizing Reasoning and Acting in Language Models
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao
Jeffrey Zhao
Dian Yu
Nan Du
Izhak Shafran
Karthik Narasimhan
Yuan Cao
LLMAG
ReLM
LRM
208
2,413
0
06 Oct 2022
Knowledge Unlearning for Mitigating Privacy Risks in Language Models
Knowledge Unlearning for Mitigating Privacy Risks in Language Models
Joel Jang
Dongkeun Yoon
Sohee Yang
Sungmin Cha
Moontae Lee
Lajanugen Logeswaran
Minjoon Seo
KELM
PILM
MU
145
110
0
04 Oct 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in
  NLP
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
Qinyuan Ye
Bill Yuchen Lin
Xiang Ren
199
167
0
18 Apr 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu
Max Bartolo
Alastair Moore
Sebastian Riedel
Pontus Stenetorp
AILaw
LRM
274
882
0
18 Apr 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,735
0
24 Feb 2021
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
275
1,296
0
17 Jan 2021
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
3,054
0
23 Jan 2020
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
146
1,045
0
25 Jul 2012
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