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A Little Leak Will Sink a Great Ship: Survey of Transparency for Large
  Language Models from Start to Finish

A Little Leak Will Sink a Great Ship: Survey of Transparency for Large Language Models from Start to Finish

24 March 2024
Masahiro Kaneko
Timothy Baldwin
    PILM
ArXivPDFHTML

Papers citing "A Little Leak Will Sink a Great Ship: Survey of Transparency for Large Language Models from Start to Finish"

13 / 13 papers shown
Title
Generative Artificial Intelligence: Evolving Technology, Growing Societal Impact, and Opportunities for Information Systems Research
Veda C. Storey
Wei Thoo Yue
J. Leon Zhao
Roman Lukyanenko
43
0
0
25 Feb 2025
Balanced Multi-Factor In-Context Learning for Multilingual Large Language Models
Balanced Multi-Factor In-Context Learning for Multilingual Large Language Models
Masahiro Kaneko
Alham Fikri Aji
Timothy Baldwin
78
0
0
17 Feb 2025
Sampling-based Pseudo-Likelihood for Membership Inference Attacks
Sampling-based Pseudo-Likelihood for Membership Inference Attacks
Masahiro Kaneko
Youmi Ma
Yuki Wata
Naoaki Okazaki
35
9
0
17 Apr 2024
Eagle: Ethical Dataset Given from Real Interactions
Eagle: Ethical Dataset Given from Real Interactions
Masahiro Kaneko
Danushka Bollegala
Timothy Baldwin
42
3
0
22 Feb 2024
OLMo: Accelerating the Science of Language Models
OLMo: Accelerating the Science of Language Models
Dirk Groeneveld
Iz Beltagy
Pete Walsh
Akshita Bhagia
Rodney Michael Kinney
...
Jesse Dodge
Kyle Lo
Luca Soldaini
Noah A. Smith
Hanna Hajishirzi
OSLM
141
359
0
01 Feb 2024
The Falcon Series of Open Language Models
The Falcon Series of Open Language Models
Ebtesam Almazrouei
Hamza Alobeidli
Abdulaziz Alshamsi
Alessandro Cappelli
Ruxandra-Aimée Cojocaru
...
Quentin Malartic
Daniele Mazzotta
Badreddine Noune
B. Pannier
Guilherme Penedo
AI4TS
ALM
121
404
0
28 Nov 2023
Don't Make Your LLM an Evaluation Benchmark Cheater
Don't Make Your LLM an Evaluation Benchmark Cheater
Kun Zhou
Yutao Zhu
Zhipeng Chen
Wentong Chen
Wayne Xin Zhao
Xu Chen
Yankai Lin
Ji-Rong Wen
Jiawei Han
ELM
110
137
0
03 Nov 2023
Who's Harry Potter? Approximate Unlearning in LLMs
Who's Harry Potter? Approximate Unlearning in LLMs
Ronen Eldan
M. Russinovich
MU
MoMe
106
176
0
03 Oct 2023
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
314
3,273
0
21 Mar 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
339
12,003
0
04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
398
8,559
0
28 Jan 2022
Extracting Training Data from Large Language Models
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
290
1,824
0
14 Dec 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
264
4,489
0
23 Jan 2020
1