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A Comprehensive Overview of Large Language Models

A Comprehensive Overview of Large Language Models

12 July 2023
Humza Naveed
Asad Ullah Khan
Shi Qiu
Muhammad Saqib
Saeed Anwar
Muhammad Usman
Naveed Akhtar
Nick Barnes
Ajmal Saeed Mian
    OffRL
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Papers citing "A Comprehensive Overview of Large Language Models"

38 / 88 papers shown
Title
Maybe Only 0.5% Data is Needed: A Preliminary Exploration of Low
  Training Data Instruction Tuning
Maybe Only 0.5% Data is Needed: A Preliminary Exploration of Low Training Data Instruction Tuning
Haowen Chen
Yiming Zhang
Qi Zhang
Hantao Yang
Xiaomeng Hu
Xuetao Ma
Yifan YangGong
J. Zhao
ALM
63
47
0
16 May 2023
Caption Anything: Interactive Image Description with Diverse Multimodal
  Controls
Caption Anything: Interactive Image Description with Diverse Multimodal Controls
Teng Wang
Jinrui Zhang
Junjie Fei
Hao Zheng
Yunlong Tang
Zhe Li
Mingqi Gao
Shanshan Zhao
MLLM
102
82
0
04 May 2023
Don't Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner
Don't Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner
Zhengxiang Shi
Aldo Lipani
VLM
CLL
34
21
0
02 May 2023
mPLUG-Owl: Modularization Empowers Large Language Models with
  Multimodality
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality
Qinghao Ye
Haiyang Xu
Guohai Xu
Jiabo Ye
Ming Yan
...
Junfeng Tian
Qiang Qi
Ji Zhang
Feiyan Huang
Jingren Zhou
VLM
MLLM
208
900
0
27 Apr 2023
Emergent autonomous scientific research capabilities of large language
  models
Emergent autonomous scientific research capabilities of large language models
Daniil A. Boiko
R. MacKnight
Gabe Gomes
ELM
LM&Ro
AI4CE
LLMAG
104
118
0
11 Apr 2023
Instruction Tuning with GPT-4
Instruction Tuning with GPT-4
Baolin Peng
Chunyuan Li
Pengcheng He
Michel Galley
Jianfeng Gao
SyDa
ALM
LM&MA
159
579
0
06 Apr 2023
PanGu-Σ: Towards Trillion Parameter Language Model with Sparse
  Heterogeneous Computing
PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing
Xiaozhe Ren
Pingyi Zhou
Xinfan Meng
Xinjing Huang
Yadao Wang
...
Jiansheng Wei
Xin Jiang
Teng Su
Qun Liu
Jun Yao
ALM
MoE
69
60
0
20 Mar 2023
Large Language Models as Zero-Shot Human Models for Human-Robot
  Interaction
Large Language Models as Zero-Shot Human Models for Human-Robot Interaction
Bowen Zhang
Harold Soh
LLMAG
LM&Ro
72
40
0
06 Mar 2023
Visual Language Maps for Robot Navigation
Visual Language Maps for Robot Navigation
Chen Huang
Oier Mees
Andy Zeng
Wolfram Burgard
LM&Ro
156
344
0
11 Oct 2022
Language Models are Multilingual Chain-of-Thought Reasoners
Language Models are Multilingual Chain-of-Thought Reasoners
Freda Shi
Mirac Suzgun
Markus Freitag
Xuezhi Wang
Suraj Srivats
...
Yi Tay
Sebastian Ruder
Denny Zhou
Dipanjan Das
Jason W. Wei
ReLM
LRM
172
327
0
06 Oct 2022
GLM-130B: An Open Bilingual Pre-trained Model
GLM-130B: An Open Bilingual Pre-trained Model
Aohan Zeng
Xiao Liu
Zhengxiao Du
Zihan Wang
Hanyu Lai
...
Jidong Zhai
Wenguang Chen
Peng-Zhen Zhang
Yuxiao Dong
Jie Tang
BDL
LRM
250
1,073
0
05 Oct 2022
Improving alignment of dialogue agents via targeted human judgements
Improving alignment of dialogue agents via targeted human judgements
Amelia Glaese
Nat McAleese
Maja Trkebacz
John Aslanides
Vlad Firoiu
...
John F. J. Mellor
Demis Hassabis
Koray Kavukcuoglu
Lisa Anne Hendricks
G. Irving
ALM
AAML
227
502
0
28 Sep 2022
ProgPrompt: Generating Situated Robot Task Plans using Large Language
  Models
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models
Ishika Singh
Valts Blukis
Arsalan Mousavian
Ankit Goyal
Danfei Xu
Jonathan Tremblay
D. Fox
Jesse Thomason
Animesh Garg
LM&Ro
LLMAG
120
624
0
22 Sep 2022
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors,
  and Lessons Learned
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
Deep Ganguli
Liane Lovitt
John Kernion
Amanda Askell
Yuntao Bai
...
Nicholas Joseph
Sam McCandlish
C. Olah
Jared Kaplan
Jack Clark
225
444
0
23 Aug 2022
Fine-tuned Language Models are Continual Learners
Fine-tuned Language Models are Continual Learners
Thomas Scialom
Tuhin Chakrabarty
Smaranda Muresan
CLL
LRM
145
117
0
24 May 2022
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
3,248
0
21 Mar 2022
Teaching language models to support answers with verified quotes
Teaching language models to support answers with verified quotes
Jacob Menick
Maja Trebacz
Vladimir Mikulik
John Aslanides
Francis Song
...
Mia Glaese
Susannah Young
Lucy Campbell-Gillingham
G. Irving
Nat McAleese
ELM
RALM
240
257
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
313
11,953
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
361
8,495
0
28 Jan 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
213
1,657
0
15 Oct 2021
BBQ: A Hand-Built Bias Benchmark for Question Answering
BBQ: A Hand-Built Bias Benchmark for Question Answering
Alicia Parrish
Angelica Chen
Nikita Nangia
Vishakh Padmakumar
Jason Phang
Jana Thompson
Phu Mon Htut
Sam Bowman
217
367
0
15 Oct 2021
RAFT: A Real-World Few-Shot Text Classification Benchmark
RAFT: A Real-World Few-Shot Text Classification Benchmark
Neel Alex
Eli Lifland
Lewis Tunstall
A. Thakur
Pegah Maham
...
Carolyn Ashurst
Paul Sedille
A. Carlier
M. Noetel
Andreas Stuhlmuller
RALM
184
56
0
28 Sep 2021
What Changes Can Large-scale Language Models Bring? Intensive Study on
  HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers
Boseop Kim
Hyoungseok Kim
Sang-Woo Lee
Gichang Lee
Donghyun Kwak
...
Jaewook Kang
Inho Kang
Jung-Woo Ha
W. Park
Nako Sung
VLM
246
121
0
10 Sep 2021
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for
  Code Understanding and Generation
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Yue Wang
Weishi Wang
Shafiq R. Joty
S. Hoi
235
1,489
0
02 Sep 2021
Train Short, Test Long: Attention with Linear Biases Enables Input
  Length Extrapolation
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Ofir Press
Noah A. Smith
M. Lewis
250
695
0
27 Aug 2021
Internet-Augmented Dialogue Generation
Internet-Augmented Dialogue Generation
M. Komeili
Kurt Shuster
Jason Weston
RALM
235
280
0
15 Jul 2021
Measuring Coding Challenge Competence With APPS
Measuring Coding Challenge Competence With APPS
Dan Hendrycks
Steven Basart
Saurav Kadavath
Mantas Mazeika
Akul Arora
...
Collin Burns
Samir Puranik
Horace He
D. Song
Jacob Steinhardt
ELM
AIMat
ALM
208
624
0
20 May 2021
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
211
179
0
18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,848
0
18 Apr 2021
Memorisation versus Generalisation in Pre-trained Language Models
Memorisation versus Generalisation in Pre-trained Language Models
Michael Tänzer
Sebastian Ruder
Marek Rei
94
50
0
16 Apr 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
1,312
0
17 Jan 2021
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit
  Reasoning Strategies
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies
Mor Geva
Daniel Khashabi
Elad Segal
Tushar Khot
Dan Roth
Jonathan Berant
RALM
250
673
0
06 Jan 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
253
1,989
0
31 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
240
4,469
0
23 Jan 2020
MLQA: Evaluating Cross-lingual Extractive Question Answering
MLQA: Evaluating Cross-lingual Extractive Question Answering
Patrick Lewis
Barlas Oğuz
Ruty Rinott
Sebastian Riedel
Holger Schwenk
ELM
246
492
0
16 Oct 2019
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
280
1,595
0
18 Sep 2019
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
245
1,821
0
17 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,956
0
20 Apr 2018
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