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Towards Incremental Learning in Large Language Models: A Critical Review

Towards Incremental Learning in Large Language Models: A Critical Review

28 April 2024
M. Jovanovic
Peter Voss
    ELM
    CLL
    KELM
ArXivPDFHTML

Papers citing "Towards Incremental Learning in Large Language Models: A Critical Review"

30 / 30 papers shown
Title
LLMs Are Few-Shot In-Context Low-Resource Language Learners
LLMs Are Few-Shot In-Context Low-Resource Language Learners
Samuel Cahyawijaya
Holy Lovenia
Pascale Fung
27
32
0
25 Mar 2024
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Zeyu Han
Chao Gao
Jinyang Liu
Jeff Zhang
Sai Qian Zhang
127
236
0
21 Mar 2024
Boosting Continual Learning of Vision-Language Models via
  Mixture-of-Experts Adapters
Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters
Jiazuo Yu
Yunzhi Zhuge
Lu Zhang
Ping Hu
Dong Wang
Huchuan Lu
You He
VLM
KELM
CLL
OODD
100
13
0
18 Mar 2024
CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and
  Vocabulary Learning
CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning
Yukun Li
Guansong Pang
Wei Suo
Chenchen Jing
Yuling Xi
Lingqiao Liu
Hao Chen
Guoqiang Liang
Peng Wang
CLL
VLM
28
2
0
15 Mar 2024
Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive
  Prompt
Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt
Chenxi Liu
Zhenyi Wang
Tianyi Xiong
Ruibo Chen
Yihan Wu
Junfeng Guo
Heng-Chiao Huang
CLL
37
7
0
14 Mar 2024
DiffClass: Diffusion-Based Class Incremental Learning
DiffClass: Diffusion-Based Class Incremental Learning
Zichong Meng
Jie M. Zhang
Changdi Yang
Zheng Zhan
Pu Zhao
Yanzhi Wang
DiffM
CLL
33
14
0
08 Mar 2024
Online Training of Large Language Models: Learn while chatting
Online Training of Large Language Models: Learn while chatting
Juhao Liang
Ziwei Wang
Zhuoheng Ma
Jianquan Li
Zhiyi Zhang
Xiangbo Wu
Benyou Wang
KELM
29
3
0
04 Mar 2024
MuseGraph: Graph-oriented Instruction Tuning of Large Language Models
  for Generic Graph Mining
MuseGraph: Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining
Yanchao Tan
Hang Lv
Xin Huang
Jiawei Zhang
Shiping Wang
Carl Yang
26
10
0
02 Mar 2024
LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks
LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks
Subbarao Kambhampati
Karthik Valmeekam
L. Guan
Mudit Verma
Kaya Stechly
Siddhant Bhambri
Lucas Saldyt
Anil Murthy
LRM
78
107
0
02 Feb 2024
When Large Language Models Meet Vector Databases: A Survey
When Large Language Models Meet Vector Databases: A Survey
Zhi Jing
Yongye Su
Yikun Han
Bo Yuan
Haiyun Xu
Chunjiang Liu
Kehai Chen
Min Zhang
33
32
0
30 Jan 2024
INCPrompt: Task-Aware incremental Prompting for Rehearsal-Free
  Class-incremental Learning
INCPrompt: Task-Aware incremental Prompting for Rehearsal-Free Class-incremental Learning
Zhiyuan Wang
Xiaoyang Qu
Jing Xiao
Bokui Chen
Jianzong Wang
CLL
27
1
0
22 Jan 2024
CITB: A Benchmark for Continual Instruction Tuning
CITB: A Benchmark for Continual Instruction Tuning
Zihan Zhang
Meng Fang
Ling-Hao Chen
Mohammad-Reza Namazi-Rad
ALM
CLL
28
20
0
23 Oct 2023
Untying the Reversal Curse via Bidirectional Language Model Editing
Untying the Reversal Curse via Bidirectional Language Model Editing
Jun-Yu Ma
Jia-Chen Gu
Zhen-Hua Ling
Quan Liu
Cong Liu
KELM
79
35
0
16 Oct 2023
Investigating the Catastrophic Forgetting in Multimodal Large Language
  Models
Investigating the Catastrophic Forgetting in Multimodal Large Language Models
Yuexiang Zhai
Shengbang Tong
Xiao Li
Mu Cai
Qing Qu
Yong Jae Lee
Y. Ma
VLM
MLLM
CLL
66
75
0
19 Sep 2023
Dual Adaptive Representation Alignment for Cross-domain Few-shot
  Learning
Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning
Yifan Zhao
Tong Zhang
Jia Li
Yonghong Tian
36
19
0
18 Jun 2023
Preventing Zero-Shot Transfer Degradation in Continual Learning of
  Vision-Language Models
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
Zangwei Zheng
Mingyu Ma
Kai Wang
Ziheng Qin
Xiangyu Yue
Yang You
CLL
VLM
84
29
0
12 Mar 2023
Finding Alignments Between Interpretable Causal Variables and
  Distributed Neural Representations
Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations
Atticus Geiger
Zhengxuan Wu
Christopher Potts
Thomas F. Icard
Noah D. Goodman
CML
73
98
0
05 Mar 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLM
MLLM
244
4,186
0
30 Jan 2023
CLIP model is an Efficient Continual Learner
CLIP model is an Efficient Continual Learner
Vishal G. Thengane
Salman Khan
Munawar Hayat
F. Khan
BDL
VLM
CLL
85
43
0
06 Oct 2022
Meta-Learning a Cross-lingual Manifold for Semantic Parsing
Meta-Learning a Cross-lingual Manifold for Semantic Parsing
Tom Sherborne
Mirella Lapata
30
13
0
26 Sep 2022
Fine-tuned Language Models are Continual Learners
Fine-tuned Language Models are Continual Learners
Thomas Scialom
Tuhin Chakrabarty
Smaranda Muresan
CLL
LRM
132
116
0
24 May 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
Continual Learning with Recursive Gradient Optimization
Continual Learning with Recursive Gradient Optimization
Hao Liu
Huaping Liu
VLM
CLL
75
30
0
29 Jan 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
315
8,261
0
28 Jan 2022
Fast Model Editing at Scale
Fast Model Editing at Scale
E. Mitchell
Charles Lin
Antoine Bosselut
Chelsea Finn
Christopher D. Manning
KELM
217
254
0
21 Oct 2021
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
203
1,651
0
15 Oct 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
275
3,784
0
18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
238
1,898
0
31 Dec 2020
Neurosymbolic AI: The 3rd Wave
Neurosymbolic AI: The 3rd Wave
Artur Garcez
Luís C. Lamb
NAI
57
232
0
10 Dec 2020
On the Transformer Growth for Progressive BERT Training
On the Transformer Growth for Progressive BERT Training
Xiaotao Gu
Liyuan Liu
Hongkun Yu
Jing Li
C. L. P. Chen
Jiawei Han
VLM
61
49
0
23 Oct 2020
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