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Are Emergent Abilities of Large Language Models a Mirage?

Are Emergent Abilities of Large Language Models a Mirage?

28 April 2023
Rylan Schaeffer
Brando Miranda
Oluwasanmi Koyejo
    LRM
ArXivPDFHTML

Papers citing "Are Emergent Abilities of Large Language Models a Mirage?"

50 / 64 papers shown
Title
The Steganographic Potentials of Language Models
The Steganographic Potentials of Language Models
Artem Karpov
Tinuade Adeleke
Seong Hah Cho
Natalia Perez-Campanero
27
0
0
06 May 2025
Quiet Feature Learning in Algorithmic Tasks
Quiet Feature Learning in Algorithmic Tasks
Prudhviraj Naidu
Zixian Wang
Leon Bergen
R. Paturi
VLM
52
0
0
06 May 2025
LENSLLM: Unveiling Fine-Tuning Dynamics for LLM Selection
LENSLLM: Unveiling Fine-Tuning Dynamics for LLM Selection
Xinyue Zeng
Haohui Wang
Junhong Lin
Jun Wu
Tyler Cody
Dawei Zhou
60
0
0
01 May 2025
Reasoning Capabilities and Invariability of Large Language Models
Reasoning Capabilities and Invariability of Large Language Models
Alessandro Raganato
Rafael Peñaloza
Marco Viviani
G. Pasi
ReLM
LRM
80
0
0
01 May 2025
A Model Zoo on Phase Transitions in Neural Networks
A Model Zoo on Phase Transitions in Neural Networks
Konstantin Schurholt
Léo Meynent
Yefan Zhou
Haiquan Lu
Yaoqing Yang
Damian Borth
58
0
0
25 Apr 2025
PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models
PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models
Shi Qiu
Shaoyang Guo
Zhuo-Yang Song
Y. Sun
Zeyu Cai
...
Changkun Shao
Qing-Hong Cao
Ming-xing Luo
Muhan Zhang
Hua Xing Zhu
AIMat
LRM
27
0
0
22 Apr 2025
SePer: Measure Retrieval Utility Through The Lens Of Semantic Perplexity Reduction
SePer: Measure Retrieval Utility Through The Lens Of Semantic Perplexity Reduction
Lu Dai
Yijie Xu
Jinhui Ye
Hao Liu
Hui Xiong
3DV
RALM
76
2
0
03 Mar 2025
Distributional Scaling Laws for Emergent Capabilities
Distributional Scaling Laws for Emergent Capabilities
Rosie Zhao
Tian Qin
David Alvarez-Melis
Sham Kakade
Naomi Saphra
LRM
37
0
0
24 Feb 2025
Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing
Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing
Qi Le
Enmao Diao
Ziyan Wang
Xinran Wang
Jie Ding
Li Yang
Ali Anwar
69
1
0
24 Feb 2025
Beyond Release: Access Considerations for Generative AI Systems
Beyond Release: Access Considerations for Generative AI Systems
Irene Solaiman
Rishi Bommasani
Dan Hendrycks
Ariel Herbert-Voss
Yacine Jernite
Aviya Skowron
Andrew Trask
60
1
0
23 Feb 2025
Forecasting Frontier Language Model Agent Capabilities
Forecasting Frontier Language Model Agent Capabilities
Govind Pimpale
Axel Højmark
Jérémy Scheurer
Marius Hobbhahn
LLMAG
ELM
41
1
0
21 Feb 2025
Theoretical Benefit and Limitation of Diffusion Language Model
Theoretical Benefit and Limitation of Diffusion Language Model
Guhao Feng
Yihan Geng
Jian-Yu Guan
Wei Yu Wu
Liwei Wang
Di He
DiffM
48
0
0
13 Feb 2025
Large Language Models as Common-Sense Heuristics
Large Language Models as Common-Sense Heuristics
Andrey Borro
Patricia J. Riddle
Michael W Barley
Michael Witbrock
LRM
LM&Ro
128
1
0
31 Jan 2025
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
Kai He
Rui Mao
Qika Lin
Yucheng Ruan
Xiang Lan
Mengling Feng
Erik Cambria
LM&MA
AILaw
93
151
0
28 Jan 2025
Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation
Xing Zhang
Jiaheng Wen
Fangkai Yang
Pu Zhao
Yu Kang
...
Qingwei Lin
Yingnong Dang
Saravan Rajmohan
Dongmei Zhang
Qi Zhang
53
2
0
28 Jan 2025
Physics of Skill Learning
Physics of Skill Learning
Ziming Liu
Yizhou Liu
Eric J. Michaud
Jeff Gore
Max Tegmark
44
0
0
21 Jan 2025
Scaling Laws for Predicting Downstream Performance in LLMs
Scaling Laws for Predicting Downstream Performance in LLMs
Yangyi Chen
Binxuan Huang
Yifan Gao
Zhengyang Wang
Jingfeng Yang
Heng Ji
LRM
43
7
0
11 Oct 2024
Data Selection via Optimal Control for Language Models
Data Selection via Optimal Control for Language Models
Yuxian Gu
Li Dong
Hongning Wang
Y. Hao
Qingxiu Dong
Furu Wei
Minlie Huang
AI4CE
48
4
0
09 Oct 2024
U-shaped and Inverted-U Scaling behind Emergent Abilities of Large Language Models
U-shaped and Inverted-U Scaling behind Emergent Abilities of Large Language Models
Tung-Yu Wu
Pei-Yu Lo
ReLM
LRM
44
2
0
02 Oct 2024
Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining
Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining
Jie Cheng
Ruixi Qiao
Gang Xiong
Binhua Li
Yingwei Ma
Binhua Li
Yongbin Li
Yisheng Lv
OffRL
OnRL
LM&Ro
40
3
0
01 Oct 2024
LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning
LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning
Jin Jiang
Yuchen Yan
Yang Liu
Yonggang Jin
Shuai Peng
M. Zhang
Xunliang Cai
Yixin Cao
Liangcai Gao
Zhi Tang
LRM
40
3
0
19 Sep 2024
What is the Role of Small Models in the LLM Era: A Survey
What is the Role of Small Models in the LLM Era: A Survey
Lihu Chen
Gaël Varoquaux
ALM
58
23
0
10 Sep 2024
MILE: A Mutation Testing Framework of In-Context Learning Systems
MILE: A Mutation Testing Framework of In-Context Learning Systems
Zeming Wei
Yihao Zhang
Meng Sun
35
0
0
07 Sep 2024
Information-Theoretic Progress Measures reveal Grokking is an Emergent
  Phase Transition
Information-Theoretic Progress Measures reveal Grokking is an Emergent Phase Transition
Kenzo Clauw
S. Stramaglia
Daniele Marinazzo
50
3
0
16 Aug 2024
On the Design and Analysis of LLM-Based Algorithms
On the Design and Analysis of LLM-Based Algorithms
Yanxi Chen
Yaliang Li
Bolin Ding
Jingren Zhou
41
4
0
20 Jul 2024
Thorns and Algorithms: Navigating Generative AI Challenges Inspired by
  Giraffes and Acacias
Thorns and Algorithms: Navigating Generative AI Challenges Inspired by Giraffes and Acacias
Waqar Hussain
38
0
0
16 Jul 2024
Show, Don't Tell: Evaluating Large Language Models Beyond Textual Understanding with ChildPlay
Show, Don't Tell: Evaluating Large Language Models Beyond Textual Understanding with ChildPlay
Gonçalo Hora de Carvalho
Oscar Knap
R. Pollice
ReLM
ELM
LRM
29
1
0
12 Jul 2024
Training on the Test Task Confounds Evaluation and Emergence
Training on the Test Task Confounds Evaluation and Emergence
Ricardo Dominguez-Olmedo
Florian E. Dorner
Moritz Hardt
ELM
58
6
1
10 Jul 2024
Resolving Discrepancies in Compute-Optimal Scaling of Language Models
Resolving Discrepancies in Compute-Optimal Scaling of Language Models
Tomer Porian
Mitchell Wortsman
J. Jitsev
Ludwig Schmidt
Y. Carmon
50
19
0
27 Jun 2024
AnnotatedTables: A Large Tabular Dataset with Language Model Annotations
AnnotatedTables: A Large Tabular Dataset with Language Model Annotations
Yaojie Hu
Ilias Fountalis
Jin Tian
N. Vasiloglou
LMTD
32
3
0
24 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
33
30
0
17 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
56
44
0
11 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
97
29
0
09 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
29
7
0
08 Jun 2024
Hallucination-Free? Assessing the Reliability of Leading AI Legal
  Research Tools
Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools
Varun Magesh
Faiz Surani
Matthew Dahl
Mirac Suzgun
Christopher D. Manning
Daniel E. Ho
HILM
ELM
AILaw
27
65
0
30 May 2024
Improve Student's Reasoning Generalizability through Cascading
  Decomposed CoTs Distillation
Improve Student's Reasoning Generalizability through Cascading Decomposed CoTs Distillation
Chengwei Dai
Kun Li
Wei Zhou
Song Hu
LRM
44
3
0
30 May 2024
Asymptotic theory of in-context learning by linear attention
Asymptotic theory of in-context learning by linear attention
Yue M. Lu
Mary I. Letey
Jacob A. Zavatone-Veth
Anindita Maiti
C. Pehlevan
19
10
0
20 May 2024
A Multi-Perspective Analysis of Memorization in Large Language Models
A Multi-Perspective Analysis of Memorization in Large Language Models
Bowen Chen
Namgi Han
Yusuke Miyao
38
1
0
19 May 2024
Evaluation of Few-Shot Learning for Classification Tasks in the Polish
  Language
Evaluation of Few-Shot Learning for Classification Tasks in the Polish Language
Tsimur Hadeliya
D. Kajtoch
38
0
0
27 Apr 2024
From Matching to Generation: A Survey on Generative Information Retrieval
From Matching to Generation: A Survey on Generative Information Retrieval
Xiaoxi Li
Jiajie Jin
Yujia Zhou
Yuyao Zhang
Peitian Zhang
Yutao Zhu
Zhicheng Dou
3DV
67
45
0
23 Apr 2024
Token-Efficient Leverage Learning in Large Language Models
Token-Efficient Leverage Learning in Large Language Models
Yuanhao Zeng
Min Wang
Yihang Wang
Yingxia Shao
29
0
0
01 Apr 2024
The Unreasonable Ineffectiveness of the Deeper Layers
The Unreasonable Ineffectiveness of the Deeper Layers
Andrey Gromov
Kushal Tirumala
Hassan Shapourian
Paolo Glorioso
Daniel A. Roberts
41
79
0
26 Mar 2024
Understanding Emergent Abilities of Language Models from the Loss Perspective
Understanding Emergent Abilities of Language Models from the Loss Perspective
Zhengxiao Du
Aohan Zeng
Yuxiao Dong
Jie Tang
UQCV
LRM
62
46
0
23 Mar 2024
Yi: Open Foundation Models by 01.AI
Yi: Open Foundation Models by 01.AI
01. AI
Alex Young
01.AI Alex Young
Bei Chen
Chao Li
...
Yue Wang
Yuxuan Cai
Zhenyu Gu
Zhiyuan Liu
Zonghong Dai
OSLM
LRM
121
495
0
07 Mar 2024
On the Challenges and Opportunities in Generative AI
On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Robert Bamler
Ryan Cotterell
Sina Daubener
...
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
Vincent Fortuin
56
17
0
28 Feb 2024
Soft Self-Consistency Improves Language Model Agents
Soft Self-Consistency Improves Language Model Agents
Han Wang
Archiki Prasad
Elias Stengel-Eskin
Mohit Bansal
LLMAG
24
7
0
20 Feb 2024
Sample, estimate, aggregate: A recipe for causal discovery foundation models
Sample, estimate, aggregate: A recipe for causal discovery foundation models
Menghua Wu
Yujia Bao
Regina Barzilay
Tommi Jaakkola
CML
41
7
0
02 Feb 2024
On the generalization capacity of neural networks during generic
  multimodal reasoning
On the generalization capacity of neural networks during generic multimodal reasoning
Takuya Ito
Soham Dan
Mattia Rigotti
James Kozloski
Murray Campbell
LRM
30
2
0
26 Jan 2024
Black-Box Access is Insufficient for Rigorous AI Audits
Black-Box Access is Insufficient for Rigorous AI Audits
Stephen Casper
Carson Ezell
Charlotte Siegmann
Noam Kolt
Taylor Lynn Curtis
...
Michael Gerovitch
David Bau
Max Tegmark
David M. Krueger
Dylan Hadfield-Menell
AAML
13
76
0
25 Jan 2024
Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs
Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs
Yu-xin Zhang
Lirui Zhao
Mingbao Lin
Yunyun Sun
Yiwu Yao
Xingjia Han
Jared Tanner
Shiwei Liu
Rongrong Ji
SyDa
29
40
0
13 Oct 2023
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