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Emergent Abilities of Large Language Models

Emergent Abilities of Large Language Models

15 June 2022
Jason W. Wei
Yi Tay
Rishi Bommasani
Colin Raffel
Barret Zoph
Sebastian Borgeaud
Dani Yogatama
Maarten Bosma
Denny Zhou
Donald Metzler
Ed H. Chi
Tatsunori Hashimoto
Oriol Vinyals
Percy Liang
J. Dean
W. Fedus
    ELM
    ReLM
    LRM
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Papers citing "Emergent Abilities of Large Language Models"

50 / 1,593 papers shown
Title
Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World
  Data
Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data
Nahema Marchal
Rachel Xu
Rasmi Elasmar
Iason Gabriel
Beth Goldberg
William S. Isaac
LLMAG
41
13
0
19 Jun 2024
Optimizing Psychological Counseling with Instruction-Tuned Large
  Language Models
Optimizing Psychological Counseling with Instruction-Tuned Large Language Models
Wenjie Li
Tianyu Sun
Kun Qian
Wenhong Wang
LM&MA
59
2
0
19 Jun 2024
Neural Residual Diffusion Models for Deep Scalable Vision Generation
Neural Residual Diffusion Models for Deep Scalable Vision Generation
Zhiyuan Ma
Liangliang Zhao
Biqing Qi
Bowen Zhou
DiffM
90
2
0
19 Jun 2024
Mathador-LM: A Dynamic Benchmark for Mathematical Reasoning on Large
  Language Models
Mathador-LM: A Dynamic Benchmark for Mathematical Reasoning on Large Language Models
Eldar Kurtic
Amir Moeini
Dan Alistarh
LRM
44
2
0
18 Jun 2024
Instruction Data Generation and Unsupervised Adaptation for Speech
  Language Models
Instruction Data Generation and Unsupervised Adaptation for Speech Language Models
Vahid Noroozi
Zhehuai Chen
Somshubra Majumdar
Steve Huang
Jagadeesh Balam
Boris Ginsburg
SyDa
69
5
0
18 Jun 2024
How Do Large Language Models Acquire Factual Knowledge During
  Pretraining?
How Do Large Language Models Acquire Factual Knowledge During Pretraining?
Hoyeon Chang
Jinho Park
Seonghyeon Ye
Sohee Yang
Youngkyung Seo
Du-Seong Chang
Minjoon Seo
KELM
50
38
0
17 Jun 2024
A Complete Survey on LLM-based AI Chatbots
A Complete Survey on LLM-based AI Chatbots
Sumit Kumar Dam
Choong Seon Hong
Yu Qiao
Chaoning Zhang
61
57
0
17 Jun 2024
Probing the Decision Boundaries of In-context Learning in Large Language
  Models
Probing the Decision Boundaries of In-context Learning in Large Language Models
Siyan Zhao
Tung Nguyen
Aditya Grover
70
6
0
17 Jun 2024
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging
Zhenyi Lu
Chenghao Fan
Wei Wei
Xiaoye Qu
Dangyang Chen
Yu Cheng
MoMe
63
52
0
17 Jun 2024
Text-space Graph Foundation Models: Comprehensive Benchmarks and New
  Insights
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
Zhikai Chen
Haitao Mao
Jingzhe Liu
Yu Song
Bingheng Li
...
Bahare Fatemi
Anton Tsitsulin
Bryan Perozzi
Hui Liu
Jiliang Tang
49
13
0
15 Jun 2024
A Survey of Large Language Models for Financial Applications: Progress,
  Prospects and Challenges
A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges
Yuqi Nie
Yaxuan Kong
Xiaowen Dong
John M. Mulvey
H. Vincent Poor
Qingsong Wen
Stefan Zohren
AIFin
63
44
0
15 Jun 2024
Improving Large Models with Small models: Lower Costs and Better
  Performance
Improving Large Models with Small models: Lower Costs and Better Performance
Dong Chen
Shuo Zhang
Yueting Zhuang
Siliang Tang
Qidong Liu
Hua Wang
Mingliang Xu
50
5
0
15 Jun 2024
What is the Visual Cognition Gap between Humans and Multimodal LLMs?
What is the Visual Cognition Gap between Humans and Multimodal LLMs?
Xu Cao
Bolin Lai
Wenqian Ye
Yunsheng Ma
Joerg Heintz
Jintai Chen
Jianguo Cao
James M. Rehg
54
8
0
14 Jun 2024
Quantifying Variance in Evaluation Benchmarks
Quantifying Variance in Evaluation Benchmarks
Lovish Madaan
Aaditya K. Singh
Rylan Schaeffer
Andrew Poulton
Sanmi Koyejo
Pontus Stenetorp
Sharan Narang
Dieuwke Hupkes
56
12
0
14 Jun 2024
From Text to Life: On the Reciprocal Relationship between Artificial
  Life and Large Language Models
From Text to Life: On the Reciprocal Relationship between Artificial Life and Large Language Models
Eleni Nisioti
Claire Glanois
Elias Najarro
Andrew Dai
Elliot Meyerson
J. Pedersen
Laetitia Teodorescu
Conor F. Hayes
Shyam Sudhakaran
Sebastian Risi
AI4CE
LM&Ro
60
3
0
14 Jun 2024
Transformers meet Neural Algorithmic Reasoners
Transformers meet Neural Algorithmic Reasoners
Wilfried Bounsi
Borja Ibarz
Andrew Dudzik
Jessica B. Hamrick
Larisa Markeeva
Alex Vitvitskyi
Razvan Pascanu
Petar Veličković
NAI
AI4CE
LRM
52
6
0
13 Jun 2024
INS-MMBench: A Comprehensive Benchmark for Evaluating LVLMs' Performance
  in Insurance
INS-MMBench: A Comprehensive Benchmark for Evaluating LVLMs' Performance in Insurance
Chenwei Lin
Hanjia Lyu
Xian Xu
Jiebo Luo
43
1
0
13 Jun 2024
The Impact of Initialization on LoRA Finetuning Dynamics
The Impact of Initialization on LoRA Finetuning Dynamics
Soufiane Hayou
Nikhil Ghosh
Bin Yu
AI4CE
48
16
0
12 Jun 2024
ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large
  Language Models
ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models
Xiang Meng
Kayhan Behdin
Haoyue Wang
Rahul Mazumder
53
3
0
12 Jun 2024
TelecomRAG: Taming Telecom Standards with Retrieval Augmented Generation
  and LLMs
TelecomRAG: Taming Telecom Standards with Retrieval Augmented Generation and LLMs
G. M. Yilma
J. Ayala-Romero
A. Garcia-Saavedra
Xavier Costa-Perez
49
8
0
11 Jun 2024
Scaling Large Language Model-based Multi-Agent Collaboration
Scaling Large Language Model-based Multi-Agent Collaboration
Chen Qian
Zihao Xie
YiFei Wang
Wei Liu
Yufan Dang
...
Zhuoyun Du
Weize Chen
Cheng Yang
Zhiyuan Liu
Maosong Sun
AI4CE
LLMAG
LM&Ro
83
53
0
11 Jun 2024
AI Sandbagging: Language Models can Strategically Underperform on Evaluations
AI Sandbagging: Language Models can Strategically Underperform on Evaluations
Teun van der Weij
Felix Hofstätter
Ollie Jaffe
Samuel F. Brown
Francis Rhys Ward
ELM
52
25
0
11 Jun 2024
In-Context Learning and Fine-Tuning GPT for Argument Mining
In-Context Learning and Fine-Tuning GPT for Argument Mining
Jérémie Cabessa
Hugo Hernault
Umer Mushtaq
39
0
0
10 Jun 2024
Autoregressive Model Beats Diffusion: Llama for Scalable Image
  Generation
Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation
Peize Sun
Yi Jiang
Shoufa Chen
Shilong Zhang
Bingyue Peng
Ping Luo
Zehuan Yuan
VLM
73
247
0
10 Jun 2024
Peer Review as A Multi-Turn and Long-Context Dialogue with Role-Based
  Interactions
Peer Review as A Multi-Turn and Long-Context Dialogue with Role-Based Interactions
Cheng Tan
Dongxin Lyu
Siyuan Li
Zhangyang Gao
Jingxuan Wei
Siqi Ma
Zicheng Liu
Stan Z. Li
LLMAG
60
11
0
09 Jun 2024
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models
Seungone Kim
Juyoung Suk
Ji Yong Cho
Shayne Longpre
Chaeeun Kim
...
Sean Welleck
Graham Neubig
Moontae Lee
Kyungjae Lee
Minjoon Seo
ELM
ALM
LM&MA
114
35
0
09 Jun 2024
Towards a Benchmark for Causal Business Process Reasoning with LLMs
Towards a Benchmark for Causal Business Process Reasoning with LLMs
Fabiana Fournier
Lior Limonad
Inna Skarbovsky
53
2
0
08 Jun 2024
M3GIA: A Cognition Inspired Multilingual and Multimodal General
  Intelligence Ability Benchmark
M3GIA: A Cognition Inspired Multilingual and Multimodal General Intelligence Ability Benchmark
Wei Song
Yadong Li
Jianhua Xu
Guowei Wu
Lingfeng Ming
...
Weihua Luo
Houyi Li
Yi Du
Fangda Guo
Kaicheng Yu
ELM
LRM
44
7
0
08 Jun 2024
LLM-Enhanced Bayesian Optimization for Efficient Analog Layout
  Constraint Generation
LLM-Enhanced Bayesian Optimization for Efficient Analog Layout Constraint Generation
Guojin Chen
Keren Zhu
Seunggeun Kim
Hanqing Zhu
Yao Lai
Bei Yu
David Z. Pan
39
7
0
07 Jun 2024
What do MLLMs hear? Examining reasoning with text and sound components
  in Multimodal Large Language Models
What do MLLMs hear? Examining reasoning with text and sound components in Multimodal Large Language Models
Enis Berk Çoban
Michael I. Mandel
Johanna Devaney
AuLLM
LRM
51
0
0
07 Jun 2024
StackSight: Unveiling WebAssembly through Large Language Models and
  Neurosymbolic Chain-of-Thought Decompilation
StackSight: Unveiling WebAssembly through Large Language Models and Neurosymbolic Chain-of-Thought Decompilation
Weike Fang
Zhejian Zhou
Junzhou He
Weihang Wang
LRM
29
2
0
07 Jun 2024
llmNER: (Zero|Few)-Shot Named Entity Recognition, Exploiting the Power
  of Large Language Models
llmNER: (Zero|Few)-Shot Named Entity Recognition, Exploiting the Power of Large Language Models
F. Villena
Luis Miranda
Claudio Aracena
77
2
0
06 Jun 2024
PaCE: Parsimonious Concept Engineering for Large Language Models
PaCE: Parsimonious Concept Engineering for Large Language Models
Jinqi Luo
Tianjiao Ding
Kwan Ho Ryan Chan
D. Thaker
Aditya Chattopadhyay
Chris Callison-Burch
René Vidal
CVBM
50
7
0
06 Jun 2024
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language
  Models
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
Ling Yang
Zhaochen Yu
Tianjun Zhang
Shiyi Cao
Minkai Xu
Wentao Zhang
Joseph E. Gonzalez
Bin Cui
LLMAG
LM&Ro
LRM
KELM
62
38
0
06 Jun 2024
Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge
  Devices
Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices
Ruiyang Qin
Dancheng Liu
Zheyu Yan
Zhaoxuan Tan
Zixuan Pan
Zhenge Jia
Meng Jiang
Ahmed Abbasi
Jinjun Xiong
Yiyu Shi
64
14
0
06 Jun 2024
A Survey on Medical Large Language Models: Technology, Application,
  Trustworthiness, and Future Directions
A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions
Lei Liu
Xiaoyan Yang
Junchi Lei
Xiaoyang Liu
Yue Shen
...
Peng Wei
Jinjie Gu
Zhixuan Chu
Zhan Qin
Kui Ren
LM&MA
AILaw
53
14
0
06 Jun 2024
Evaluating the World Model Implicit in a Generative Model
Evaluating the World Model Implicit in a Generative Model
Keyon Vafa
Justin Y. Chen
Jon M. Kleinberg
S. Mullainathan
Ashesh Rambachan
90
33
0
06 Jun 2024
Wings: Learning Multimodal LLMs without Text-only Forgetting
Wings: Learning Multimodal LLMs without Text-only Forgetting
Yi-Kai Zhang
Shiyin Lu
Yang Li
Yanqing Ma
Qing-Guo Chen
Zhao Xu
Weihua Luo
Kaifu Zhang
De-Chuan Zhan
Han-Jia Ye
VLM
55
7
0
05 Jun 2024
Does your data spark joy? Performance gains from domain upsampling at
  the end of training
Does your data spark joy? Performance gains from domain upsampling at the end of training
Cody Blakeney
Mansheej Paul
Brett W. Larsen
Sean Owen
Jonathan Frankle
29
20
0
05 Jun 2024
Assessing the Emergent Symbolic Reasoning Abilities of Llama Large
  Language Models
Assessing the Emergent Symbolic Reasoning Abilities of Llama Large Language Models
Flavio Petruzzellis
Alberto Testolin
A. Sperduti
ReLM
LRM
64
3
0
05 Jun 2024
The Task-oriented Queries Benchmark (ToQB)
The Task-oriented Queries Benchmark (ToQB)
Keun Soo Yim
61
1
0
05 Jun 2024
Disentangling Logic: The Role of Context in Large Language Model
  Reasoning Capabilities
Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities
Wenyue Hua
Kaijie Zhu
Lingyao Li
Lizhou Fan
Shuhang Lin
Mingyu Jin
Haochen Xue
Zelong Li
Jindong Wang
Yongfeng Zhang
LRM
67
9
0
04 Jun 2024
Dynamic and Adaptive Feature Generation with LLM
Dynamic and Adaptive Feature Generation with LLM
Xinhao Zhang
Jinghan Zhang
Banafsheh Rekabdar
Yuanchun Zhou
Pengfei Wang
Kunpeng Liu
69
20
0
04 Jun 2024
MidiCaps: A large-scale MIDI dataset with text captions
MidiCaps: A large-scale MIDI dataset with text captions
J. Melechovský
Abhinaba Roy
Dorien Herremans
50
10
0
04 Jun 2024
Dishonesty in Helpful and Harmless Alignment
Dishonesty in Helpful and Harmless Alignment
Youcheng Huang
Jingkun Tang
Duanyu Feng
Zheng Zhang
Wenqiang Lei
Jiancheng Lv
Anthony G. Cohn
LLMSV
51
4
0
04 Jun 2024
Explicitly Encoding Structural Symmetry is Key to Length Generalization
  in Arithmetic Tasks
Explicitly Encoding Structural Symmetry is Key to Length Generalization in Arithmetic Tasks
Mahdi Sabbaghi
George Pappas
Hamed Hassani
Surbhi Goel
58
5
0
04 Jun 2024
ACCORD: Closing the Commonsense Measurability Gap
ACCORD: Closing the Commonsense Measurability Gap
François Roewer-Després
Jinyue Feng
Zining Zhu
Frank Rudzicz
LRM
61
0
0
04 Jun 2024
Decompose, Enrich, and Extract! Schema-aware Event Extraction using LLMs
Decompose, Enrich, and Extract! Schema-aware Event Extraction using LLMs
Fatemeh Shiri
Van Nguyen
Farhad Moghimifar
John Yoo
Gholamreza Haffari
Yuan-Fang Li
ReLM
93
4
0
03 Jun 2024
Scalable Ensembling For Mitigating Reward Overoptimisation
Scalable Ensembling For Mitigating Reward Overoptimisation
Ahmed M. Ahmed
Rafael Rafailov
Stepan Sharkov
Xuechen Li
Oluwasanmi Koyejo
72
5
0
03 Jun 2024
Dragonfly: Multi-Resolution Zoom Supercharges Large Visual-Language
  Model
Dragonfly: Multi-Resolution Zoom Supercharges Large Visual-Language Model
Kezhen Chen
Rahul Thapa
Rahul Chalamala
Ben Athiwaratkun
Shuaiwen Leon Song
James Zou
VLM
73
5
0
03 Jun 2024
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