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Continual and Lifelong Learning

CLL
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Enables models to adapt over time without forgetting in dynamic, evolving environments.

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50 / 3,348 papers shown
Title
REMIND: Input Loss Landscapes Reveal Residual Memorization in Post-Unlearning LLMs
REMIND: Input Loss Landscapes Reveal Residual Memorization in Post-Unlearning LLMs
Liran Cohen
Yaniv Nemcovesky
Avi Mendelson
MUAAMLCLLKELM
10
0
0
06 Nov 2025
Scaling Agent Learning via Experience Synthesis
Scaling Agent Learning via Experience Synthesis
Zhaorun Chen
Zhuokai Zhao
Kai Zhang
Bo Liu
Qi Qi
...
Xian Li
Dawn Song
Bo Li
Jason Weston
Dat Huynh
OffRLCLL
55
0
0
05 Nov 2025
SCALE: Upscaled Continual Learning of Large Language Models
SCALE: Upscaled Continual Learning of Large Language Models
Jin-woo Lee
Junhwa Choi
Bongkyu Hwang
Jinho Choo
Bogun Kim
...
Joonseok Lee
DongYoung Jung
Jaeseon Park
Kyoungwon Park
Suk-hoon Jung
CLLLRM
93
0
0
05 Nov 2025
Merging Continual Pretraining Models for Domain-Specialized LLMs: A Case Study in Finance
Merging Continual Pretraining Models for Domain-Specialized LLMs: A Case Study in Finance
Kentaro Ueda
François Portet
H. Suwa
Keiichi Yasumoto
CLLMoMe
64
0
0
04 Nov 2025
Real-time Continual Learning on Intel Loihi 2
Real-time Continual Learning on Intel Loihi 2
Elvin Hajizada
Danielle Rager
Timothy M. Shea
L. Campos-Macias
Andreas Wild
Eyke Hüllermeier
Yulia Sandamirskaya
Mike Davies
CLLOffRL
23
0
0
03 Nov 2025
Path-Coordinated Continual Learning with Neural Tangent Kernel-Justified Plasticity: A Theoretical Framework with Near State-of-the-Art Performance
Path-Coordinated Continual Learning with Neural Tangent Kernel-Justified Plasticity: A Theoretical Framework with Near State-of-the-Art Performance
Rathin Chandra Shit
CLLAAML
8
0
0
03 Nov 2025
Random Initialization of Gated Sparse Adapters
Random Initialization of Gated Sparse Adapters
Vi Retault
Yohaï-Eliel Berreby
CLLMoE
20
0
0
03 Nov 2025
Bridging Lifelong and Multi-Task Representation Learning via Algorithm and Complexity Measure
Bridging Lifelong and Multi-Task Representation Learning via Algorithm and Complexity Measure
Zhi Wang
Chicheng Zhang
Ramya Korlakai Vinayak
CLL
48
0
0
03 Nov 2025
Dynamic Routing Between Experts: A Data-Efficient Approach to Continual Learning in Vision-Language Models
Dynamic Routing Between Experts: A Data-Efficient Approach to Continual Learning in Vision-Language Models
Jay Mohta
Kenan E. Ak
Dimitrios Dimitriadis
Yan Xu
Mingwei Shen
CLLVLM
36
0
0
03 Nov 2025
Continual Learning, Not Training: Online Adaptation For Agents
Continual Learning, Not Training: Online Adaptation For Agents
Aman Jaglan
Jarrod Barnes
CLL
12
0
0
02 Nov 2025
Beyond a Million Tokens: Benchmarking and Enhancing Long-Term Memory in LLMs
Beyond a Million Tokens: Benchmarking and Enhancing Long-Term Memory in LLMs
Mohammad Tavakoli
Alireza Salemi
Carrie Ye
Mohamed Abdalla
Hamed Zamani
J. Ross Mitchell
RALMCLL
143
0
0
31 Oct 2025
Parameterized Prompt for Incremental Object Detection
Parameterized Prompt for Incremental Object Detection
Zijia An
Boyu Diao
R. Liu
Libo Huang
Chuanguang Yang
Fei Wang
Zhulin An
Yongjun Xu
CLLVLM
28
0
0
31 Oct 2025
A Comparative Analysis of LLM Adaptation: SFT, LoRA, and ICL in Data-Scarce Scenarios
A Comparative Analysis of LLM Adaptation: SFT, LoRA, and ICL in Data-Scarce Scenarios
Bernd Bohnet
Rumen Dangovski
Kevin Swersky
Sherry Moore
Arslan Chaudhry
Kathleen Kenealy
Noah Fiedel
CLL
20
0
0
31 Oct 2025
From Amateur to Master: Infusing Knowledge into LLMs via Automated Curriculum Learning
From Amateur to Master: Infusing Knowledge into LLMs via Automated Curriculum Learning
Nishit Neema
Srinjoy Mukherjee
Sapan Shah
Gokul Ramakrishnan
Ganesh Venkatesh
CLL
40
0
0
30 Oct 2025
GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation
GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation
Zihao Guo
Qingyun Sun
Ziwei Zhang
Haonan Yuan
Huiping Zhuang
Xingcheng Fu
Jianxin Li
CLL
16
0
0
30 Oct 2025
Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning
Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning
Ruilin Tong
Haodong Lu
Yuhang Liu
Dong Gong
CLL
97
0
0
30 Oct 2025
Active Learning with Task-Driven Representations for Messy Pools
Active Learning with Task-Driven Representations for Messy Pools
Kianoosh Ashouritaklimi
Tom Rainforth
SSLCLL
100
0
0
29 Oct 2025
Continual Low-Rank Adapters for LLM-based Generative Recommender Systems
Continual Low-Rank Adapters for LLM-based Generative Recommender Systems
Hyunsik Yoo
Ting-Wei Li
SeongKu Kang
Zhining Liu
Charlie Xu
Qilin Qi
Hanghang Tong
CLL
112
0
0
29 Oct 2025
Layer of Truth: Probing Belief Shifts under Continual Pre-Training Poisoning
Layer of Truth: Probing Belief Shifts under Continual Pre-Training Poisoning
S. Churina
Niranjan Chebrolu
Kokil Jaidka
KELMHILMCLL
132
0
0
29 Oct 2025
PTPP-Aware Adaptation Scaling Laws: Predicting Domain-Adaptation Performance at Unseen Pre-Training Budgets
PTPP-Aware Adaptation Scaling Laws: Predicting Domain-Adaptation Performance at Unseen Pre-Training Budgets
Etienne Goffinet
Shane Bergsma
Avraham Sheinin
Natalia Vassilieva
Shaheer Muhammad
Preslav Nakov
Gurpreet Gosal
CLLVLM
111
0
0
27 Oct 2025
Robust Uncertainty Quantification for Self-Evolving Large Language Models via Continual Domain Pretraining
Robust Uncertainty Quantification for Self-Evolving Large Language Models via Continual Domain Pretraining
Xiaofan Zhou
Lu Cheng
CLL
157
0
0
27 Oct 2025
Explaining Robustness to Catastrophic Forgetting Through Incremental Concept Formation
Explaining Robustness to Catastrophic Forgetting Through Incremental Concept Formation
Nicki Barari
Edward J. Kim
Christopher MacLellan
CLL
16
0
0
27 Oct 2025
Knowledge-guided Continual Learning for Behavioral Analytics Systems
Knowledge-guided Continual Learning for Behavioral Analytics Systems
Yasas Senarath
Hemant Purohit
KELMCLL
57
0
0
25 Oct 2025
Edit Less, Achieve More: Dynamic Sparse Neuron Masking for Lifelong Knowledge Editing in LLMs
Edit Less, Achieve More: Dynamic Sparse Neuron Masking for Lifelong Knowledge Editing in LLMs
Jinzhe Liu
Junshu Sun
Shufan Shen
Chenxue Yang
Shuhui Wang
KELMCLL
120
1
0
25 Oct 2025
Gradual Forgetting: Logarithmic Compression for Extending Transformer Context Windows
Gradual Forgetting: Logarithmic Compression for Extending Transformer Context Windows
Billy Dickson
Zoran Tiganj
CLL
36
0
0
25 Oct 2025
ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of Multilinguality
ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of Multilinguality
Shayne Longpre
Sneha Kudugunta
Niklas Muennighoff
I-Hung Hsu
Isaac Caswell
Alex Pentland
Sercan O. Arik
Chen-Yu Lee
Sayna Ebrahimi
CLLLRM
36
0
0
24 Oct 2025
Beyond Reasoning Gains: Mitigating General Capabilities Forgetting in Large Reasoning Models
Beyond Reasoning Gains: Mitigating General Capabilities Forgetting in Large Reasoning Models
Hoang Phan
Xianjun Yang
Kevin Yao
Jingyu Zhang
Shengjie Bi
Xiaocheng Tang
Madian Khabsa
Lijuan Liu
Deren Lei
OffRLCLLKELMVLMLRM
36
0
0
24 Oct 2025
Contribution of task-irrelevant stimuli to drift of neural representations
Contribution of task-irrelevant stimuli to drift of neural representations
Farhad Pashakhanloo
OODCLL
44
0
0
24 Oct 2025
Memory-Free Continual Learning with Null Space Adaptation for Zero-Shot Vision-Language Models
Memory-Free Continual Learning with Null Space Adaptation for Zero-Shot Vision-Language Models
Yujin Jo
Taesup Kim
VLMCLL
84
0
0
24 Oct 2025
Randomized Neural Network with Adaptive Forward Regularization for Online Task-free Class Incremental Learning
Randomized Neural Network with Adaptive Forward Regularization for Online Task-free Class Incremental Learning
Junda Wang
Minghui Hu
Ning Li
Abdulaziz Al-Ali
Ponnuthurai Nagaratnam Suganthan
CLL
60
0
0
24 Oct 2025
PLAN: Proactive Low-Rank Allocation for Continual Learning
PLAN: Proactive Low-Rank Allocation for Continual Learning
Xiequn Wang
Zhan Zhuang
Yu Zhang
CLLVLM
80
0
0
24 Oct 2025
RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging
RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging
Bowen Wang
Haiyuan Wan
Liwen Shi
Chen Yang
Peng He
...
Tiao Tan
Yongjian Li
Fangming Liu
Yifan Gong
Sheng Zhang
CLLMoMeKELM
63
0
0
23 Oct 2025
Alleviating Forgetfulness of Linear Attention by Hybrid Sparse Attention and Contextualized Learnable Token Eviction
Alleviating Forgetfulness of Linear Attention by Hybrid Sparse Attention and Contextualized Learnable Token Eviction
Mutian He
Philip N. Garner
CLL
61
0
0
23 Oct 2025
Separating the what and how of compositional computation to enable reuse and continual learning
Separating the what and how of compositional computation to enable reuse and continual learning
Haozhe Shan
Sun Minni
Lea Duncker
CLL
56
0
0
23 Oct 2025
IKnow: Instruction-Knowledge-Aware Continual Pretraining for Effective Domain Adaptation
IKnow: Instruction-Knowledge-Aware Continual Pretraining for Effective Domain Adaptation
Tianyi Zhang
Florian Mai
Lucie Flek
CLL
45
0
0
23 Oct 2025
More Than Memory Savings: Zeroth-Order Optimization Mitigates Forgetting in Continual Learning
More Than Memory Savings: Zeroth-Order Optimization Mitigates Forgetting in Continual Learning
Wanhao Yu
Zheng Wang
Shuteng Niu
Sen Lin
Li Yang
CLL
44
0
0
23 Oct 2025
Continual Knowledge Adaptation for Reinforcement Learning
Continual Knowledge Adaptation for Reinforcement Learning
Jinwu Hu
Zihao Lian
Z. Wen
Chenghao Li
Guohao Chen
Xutao Wen
Bin Xiao
Mingkui Tan
CLLKELM
96
0
0
22 Oct 2025
BLiSS 1.0: Evaluating Bilingual Learner Competence in Second Language Small Language Models
BLiSS 1.0: Evaluating Bilingual Learner Competence in Second Language Small Language Models
Yuan Gao
Suchir Salhan
Andrew Caines
P. Buttery
Weiwei Sun
CLL
39
0
0
22 Oct 2025
Adapting Multilingual Models to Code-Mixed Tasks via Model Merging
Adapting Multilingual Models to Code-Mixed Tasks via Model Merging
Prashant Kodali
Vaishnavi Shivkumar
Swarang Joshi
Monojit Choudhary
Ponnurangam Kumaraguru
Manish Shrivastava
MoMeCLL
100
0
0
22 Oct 2025
Conditions for Catastrophic Forgetting in Multilingual Translation
Conditions for Catastrophic Forgetting in Multilingual Translation
Danni Liu
Jan Niehues
CLL
72
0
0
22 Oct 2025
COLA: Continual Learning via Autoencoder Retrieval of Adapters
COLA: Continual Learning via Autoencoder Retrieval of Adapters
Jaya Krishna Mandivarapu
CLL
107
0
0
22 Oct 2025
KORE: Enhancing Knowledge Injection for Large Multimodal Models via Knowledge-Oriented Augmentations and Constraints
KORE: Enhancing Knowledge Injection for Large Multimodal Models via Knowledge-Oriented Augmentations and Constraints
Kailin Jiang
Hongbo Jiang
Ning Jiang
Zhi Gao
Jinhe Bi
Yuchen Ren
B. Li
Yuntao Du
L. J. Liu
Qing Li
CLLOffRLKELMVLM
64
1
0
22 Oct 2025
On Biologically Plausible Learning in Continuous Time
On Biologically Plausible Learning in Continuous Time
Marc Gong Bacvanski
Liu Ziyin
T. Poggio
CLL
67
0
0
21 Oct 2025
Retaining by Doing: The Role of On-Policy Data in Mitigating Forgetting
Retaining by Doing: The Role of On-Policy Data in Mitigating Forgetting
Howard Chen
Noam Razin
Karthik Narasimhan
Danqi Chen
CLLKELM
52
0
0
21 Oct 2025
Mapping Post-Training Forgetting in Language Models at Scale
Mapping Post-Training Forgetting in Language Models at Scale
Jackson Harmon
Andreas Hochlehnert
Matthias Bethge
Ameya Prabhu
CLLKELM
36
0
0
20 Oct 2025
Taming Modality Entanglement in Continual Audio-Visual Segmentation
Taming Modality Entanglement in Continual Audio-Visual Segmentation
Yuyang Hong
Qi Yang
Tao Zhang
Zili Wang
Zhaojin Fu
Kun Ding
Bin Fan
Shiming Xiang
CLLVLM
32
0
0
20 Oct 2025
Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models
Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models
Yuefeng Peng
Parnian Afshar
Megan Ganji
Thomas Butler
Amir Houmansadr
Mingxian Wang
Dezhi Hong
KELMMUCLL
44
0
0
20 Oct 2025
Contextual Attention Modulation: Towards Efficient Multi-Task Adaptation in Large Language Models
Contextual Attention Modulation: Towards Efficient Multi-Task Adaptation in Large Language Models
Dayan Pan
Zhaoyang Fu
Jingyuan Wang
Xiao Han
Yue Zhu
Xiangyu Zhao
KELMCLL
40
0
0
20 Oct 2025
EndoCIL: A Class-Incremental Learning Framework for Endoscopic Image Classification
EndoCIL: A Class-Incremental Learning Framework for Endoscopic Image Classification
Bingrong Liu
Jun Shi
Yushan Zheng
CLL
63
0
0
20 Oct 2025
Domain Generalizable Continual Learning
Domain Generalizable Continual Learning
Hongwei Yan
Guanglong Sun
Zhiqi Kang
Yi Zhong
Liyuan Wang
CLLOODVLM
51
0
0
19 Oct 2025
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