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Episodic Memory in Lifelong Language Learning

Episodic Memory in Lifelong Language Learning

3 June 2019
Cyprien de Masson dÁutume
Sebastian Ruder
Lingpeng Kong
Dani Yogatama
    CLL
    KELM
ArXivPDFHTML

Papers citing "Episodic Memory in Lifelong Language Learning"

50 / 169 papers shown
Title
Reinforced Interactive Continual Learning via Real-time Noisy Human Feedback
Reinforced Interactive Continual Learning via Real-time Noisy Human Feedback
Yutao Yang
Jie Zhou
Junsong Li
Qianjun Pan
Bihao Zhan
Qin Chen
Xipeng Qiu
Liang He
CLL
24
0
0
15 May 2025
Task-Core Memory Management and Consolidation for Long-term Continual Learning
Task-Core Memory Management and Consolidation for Long-term Continual Learning
Tianyu Huai
Jie Zhou
Yuxuan Cai
Qin Chen
Wen Wu
Xingjiao Wu
Xipeng Qiu
Liang He
CLL
26
0
0
15 May 2025
SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning
SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning
Jinpeng Chen
Runmin Cong
Yuzhi Zhao
Hongzheng Yang
Guangneng Hu
H. Ip
Sam Kwong
CLL
KELM
83
0
0
05 May 2025
SEE: Continual Fine-tuning with Sequential Ensemble of Experts
SEE: Continual Fine-tuning with Sequential Ensemble of Experts
Zhilin Wang
Yafu Li
Xiaoye Qu
Yu Cheng
CLL
KELM
53
0
0
09 Apr 2025
From TOWER to SPIRE: Adding the Speech Modality to a Text-Only LLM
Kshitij Ambilduke
Ben Peters
Sonal Sannigrahi
Anil Keshwani
Tsz Kin Lam
Bruno Martins
Marcely Zanon Boito
André F. T. Martins
52
0
0
13 Mar 2025
Soup to go: mitigating forgetting during continual learning with model averaging
Soup to go: mitigating forgetting during continual learning with model averaging
Anat Kleiman
Gintare Karolina Dziugaite
Jonathan Frankle
Sham Kakade
Mansheej Paul
MoMe
CLL
KELM
58
0
0
09 Jan 2025
LSEBMCL: A Latent Space Energy-Based Model for Continual Learning
LSEBMCL: A Latent Space Energy-Based Model for Continual Learning
Xiaodi Li
Dingcheng Li
Rujun Gao
Mahmoud Zamani
Latifur Khan
CLL
KELM
44
0
0
09 Jan 2025
Generate to Discriminate: Expert Routing for Continual Learning
Generate to Discriminate: Expert Routing for Continual Learning
Yewon Byun
Sanket Vaibhav Mehta
Saurabh Garg
Emma Strubell
Michael Oberst
Bryan Wilder
Zachary Chase Lipton
78
0
0
31 Dec 2024
Chained Tuning Leads to Biased Forgetting
Chained Tuning Leads to Biased Forgetting
Megan Ung
Alicia Sun
Samuel J. Bell
Bhaktipriya Radharapu
Levent Sagun
Adina Williams
CLL
KELM
89
0
0
21 Dec 2024
Filling Memory Gaps: Enhancing Continual Semantic Parsing via SQL Syntax
  Variance-Guided LLMs without Real Data Replay
Filling Memory Gaps: Enhancing Continual Semantic Parsing via SQL Syntax Variance-Guided LLMs without Real Data Replay
Ruiheng Liu
Jinyu Zhang
Yanqi Song
Yu Zhang
Bailong Yang
KELM
CLL
75
1
0
10 Dec 2024
A Practical Guide to Fine-tuning Language Models with Limited Data
A Practical Guide to Fine-tuning Language Models with Limited Data
Márton Szép
Daniel Rueckert
Rüdiger von Eisenhart-Rothe
Florian Hinterwimmer
SyDa
ALM
46
2
0
14 Nov 2024
Exploring Forgetting in Large Language Model Pre-Training
Exploring Forgetting in Large Language Model Pre-Training
Chonghua Liao
Ruobing Xie
X. Sun
Haowen Sun
Zhanhui Kang
CLL
33
0
0
22 Oct 2024
Controlled Low-Rank Adaptation with Subspace Regularization for Continued Training on Large Language Models
Controlled Low-Rank Adaptation with Subspace Regularization for Continued Training on Large Language Models
Yuheng Lu
Bingshuo Qian
Caixia Yuan
Huixing Jiang
Xiaojie Wang
CLL
34
0
0
22 Oct 2024
Is Parameter Collision Hindering Continual Learning in LLMs?
Is Parameter Collision Hindering Continual Learning in LLMs?
Shuo Yang
Kun-Peng Ning
Yu-Yang Liu
Jia-Yu Yao
Yong-Hong Tian
Yi-Bing Song
Li Yuan
MoMe
CLL
21
3
0
14 Oct 2024
Does RoBERTa Perform Better than BERT in Continual Learning: An
  Attention Sink Perspective
Does RoBERTa Perform Better than BERT in Continual Learning: An Attention Sink Perspective
Xueying Bai
Yifan Sun
Niranjan Balasubramanian
CLL
24
0
0
08 Oct 2024
Learning Attentional Mixture of LoRAs for Language Model Continual
  Learning
Learning Attentional Mixture of LoRAs for Language Model Continual Learning
Jialin Liu
Jianhua Wu
Jie Liu
Yutai Duan
KELM
CLL
MoMe
27
1
0
29 Sep 2024
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online
  Continual Learning
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning
Xinrui Wang
Chuanxing Geng
Wenhai Wan
Shao-yuan Li
Songcan Chen
CLL
39
2
0
28 Sep 2024
Learning to Route for Dynamic Adapter Composition in Continual Learning
  with Language Models
Learning to Route for Dynamic Adapter Composition in Continual Learning with Language Models
Vladimir Araujo
Marie-Francine Moens
Tinne Tuytelaars
CLL
MoMe
26
2
0
16 Aug 2024
PMoE: Progressive Mixture of Experts with Asymmetric Transformer for
  Continual Learning
PMoE: Progressive Mixture of Experts with Asymmetric Transformer for Continual Learning
Min Jae Jung
Romain Rouvoy
KELM
MoE
CLL
44
2
0
31 Jul 2024
Stress-Testing Long-Context Language Models with Lifelong ICL and Task
  Haystack
Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack
Xiaoyue Xu
Qinyuan Ye
Xiang Ren
45
6
0
23 Jul 2024
Learning at a Glance: Towards Interpretable Data-limited Continual
  Semantic Segmentation via Semantic-Invariance Modelling
Learning at a Glance: Towards Interpretable Data-limited Continual Semantic Segmentation via Semantic-Invariance Modelling
Bo Yuan
Danpei Zhao
Z. Shi
VLM
CLL
32
3
0
22 Jul 2024
Unlocking the Potential of Model Merging for Low-Resource Languages
Unlocking the Potential of Model Merging for Low-Resource Languages
Mingxu Tao
Chen Zhang
Quzhe Huang
Tianyao Ma
Songfang Huang
Dongyan Zhao
Yansong Feng
CLL
MoMe
27
3
0
04 Jul 2024
A look under the hood of the Interactive Deep Learning Enterprise
  (No-IDLE)
A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE)
Daniel Sonntag
Michael Barz
Thiago S. Gouvêa
VLM
44
4
0
27 Jun 2024
MoE-CT: A Novel Approach For Large Language Models Training With
  Resistance To Catastrophic Forgetting
MoE-CT: A Novel Approach For Large Language Models Training With Resistance To Catastrophic Forgetting
Tianhao Li
Shangjie Li
Binbin Xie
Deyi Xiong
Baosong Yang
CLL
50
3
0
25 Jun 2024
Unlocking Continual Learning Abilities in Language Models
Unlocking Continual Learning Abilities in Language Models
Wenyu Du
Shuang Cheng
Tongxu Luo
Zihan Qiu
Zeyu Huang
Ka Chun Cheung
Reynold Cheng
Jie Fu
KELM
CLL
43
6
0
25 Jun 2024
Do As I Do: Pose Guided Human Motion Copy
Do As I Do: Pose Guided Human Motion Copy
Sifan Wu
Zhenguang Liu
Beibei Zhang
Roger Zimmermann
Zhongjie Ba
Xiaosong Zhang
Kui Ren
36
8
0
24 Jun 2024
Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt
  Tuning
Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning
Chenyuan Wu
Gangwei Jiang
Defu Lian
CLL
25
0
0
18 Jun 2024
ChronosLex: Time-aware Incremental Training for Temporal Generalization
  of Legal Classification Tasks
ChronosLex: Time-aware Incremental Training for Temporal Generalization of Legal Classification Tasks
Santosh T.Y.S.S
Tuan-Quang Vuong
Matthias Grabmair
AILaw
CLL
53
4
0
23 May 2024
Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language
  Learning
Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning
Yanhui Guo
Shaoyuan Xu
Jinmiao Fu
Jia-Wei Liu
Chaosheng Dong
Bryan Wang
VLM
CLL
33
5
0
22 Apr 2024
Balancing Speciality and Versatility: a Coarse to Fine Framework for
  Supervised Fine-tuning Large Language Model
Balancing Speciality and Versatility: a Coarse to Fine Framework for Supervised Fine-tuning Large Language Model
Hengyuan Zhang
Yanru Wu
Dawei Li
Zacc Yang
Rui Zhao
Yong Jiang
Fei Tan
ALM
27
0
0
16 Apr 2024
Scalable Language Model with Generalized Continual Learning
Scalable Language Model with Generalized Continual Learning
Bohao Peng
Zhuotao Tian
Shu Liu
Mingchang Yang
Jiaya Jia
ALM
CLL
KELM
30
13
0
11 Apr 2024
Continual Learning of Numerous Tasks from Long-tail Distributions
Continual Learning of Numerous Tasks from Long-tail Distributions
Liwei Kang
Wee Sun Lee
27
0
0
03 Apr 2024
Rehearsal-Free Modular and Compositional Continual Learning for Language
  Models
Rehearsal-Free Modular and Compositional Continual Learning for Language Models
Mingyang Wang
Heike Adel
Lukas Lange
Jannik Strötgen
Hinrich Schütze
KELM
CLL
32
14
0
31 Mar 2024
InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning
  Large Language Models with Instructions
InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning Large Language Models with Instructions
Yifan Wang
Yafei Liu
Chufan Shi
Haoling Li
Chen Chen
H. Lu
Yujiu Yang
CLL
39
25
0
18 Mar 2024
Mitigating Catastrophic Forgetting in Large Language Models with
  Self-Synthesized Rehearsal
Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal
Jianheng Huang
Leyang Cui
Ante Wang
Chengyi Yang
Xinting Liao
Linfeng Song
Junfeng Yao
Jinsong Su
KELM
CLL
32
32
0
02 Mar 2024
Both Matter: Enhancing the Emotional Intelligence of Large Language
  Models without Compromising the General Intelligence
Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence
Weixiang Zhao
Zhuojun Li
Shilong Wang
Yang Wang
Yulin Hu
Yanyan Zhao
Chen Wei
Bing Qin
22
4
0
15 Feb 2024
Balancing the Causal Effects in Class-Incremental Learning
Balancing the Causal Effects in Class-Incremental Learning
Junhao Zheng
Ruiyan Wang
Chongzhi Zhang
Hu Feng
Qianli Ma
CML
CLL
31
0
0
15 Feb 2024
What Will My Model Forget? Forecasting Forgotten Examples in Language
  Model Refinement
What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement
Xisen Jin
Xiang Ren
KELM
CLL
20
6
0
02 Feb 2024
Sample Weight Estimation Using Meta-Updates for Online Continual
  Learning
Sample Weight Estimation Using Meta-Updates for Online Continual Learning
Hamed Hemati
Damian Borth
30
0
0
29 Jan 2024
SAPT: A Shared Attention Framework for Parameter-Efficient Continual
  Learning of Large Language Models
SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models
Weixiang Zhao
Shilong Wang
Yulin Hu
Yanyan Zhao
Bing Qin
Xuanyu Zhang
Qing Yang
Dongliang Xu
Wanxiang Che
KELM
CLL
29
11
0
16 Jan 2024
Improving Plasticity in Online Continual Learning via Collaborative
  Learning
Improving Plasticity in Online Continual Learning via Collaborative Learning
Maorong Wang
Nicolas Michel
Ling Xiao
Toshihiko Yamasaki
CLL
12
6
0
01 Dec 2023
Prompt Pool based Class-Incremental Continual Learning for Dialog State
  Tracking
Prompt Pool based Class-Incremental Continual Learning for Dialog State Tracking
Hong Liu
Yucheng Cai
Yuan Zhou
Zhijian Ou
Yi Huang
Junlan Feng
CLL
19
2
0
17 Nov 2023
Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language
  Models
Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models
Yujin Kim
Jaehong Yoon
Seonghyeon Ye
Sangmin Bae
Namgyu Ho
Sung Ju Hwang
Se-Young Yun
KELM
32
9
0
14 Nov 2023
Learning to Learn for Few-shot Continual Active Learning
Learning to Learn for Few-shot Continual Active Learning
Stella Ho
Ming Liu
Shang Gao
Longxiang Gao
KELM
BDL
VLM
CLL
14
2
0
07 Nov 2023
Continual Learning Under Language Shift
Continual Learning Under Language Shift
Evangelia Gogoulou
Timothée Lesort
Magnus Boman
Joakim Nivre
KELM
CLL
27
3
0
02 Nov 2023
Continual Event Extraction with Semantic Confusion Rectification
Continual Event Extraction with Semantic Confusion Rectification
Zitao Wang
Xin-Yue Wang
Wei Hu
CLL
16
4
0
24 Oct 2023
Orthogonal Subspace Learning for Language Model Continual Learning
Orthogonal Subspace Learning for Language Model Continual Learning
Xiao Wang
Tianze Chen
Qiming Ge
Han Xia
Rong Bao
Rui Zheng
Qi Zhang
Tao Gui
Xuanjing Huang
CLL
116
89
0
22 Oct 2023
Towards Anytime Fine-tuning: Continually Pre-trained Language Models
  with Hypernetwork Prompt
Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompt
Gangwei Jiang
Caigao Jiang
Siqiao Xue
James Y. Zhang
Junqing Zhou
Defu Lian
Ying Wei
VLM
32
7
0
19 Oct 2023
Sub-network Discovery and Soft-masking for Continual Learning of Mixed
  Tasks
Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks
Zixuan Ke
Bing Liu
Wenhan Xiong
Asli Celikyilmaz
Haoran Li
CLL
32
5
0
13 Oct 2023
Transport-Hub-Aware Spatial-Temporal Adaptive Graph Transformer for
  Traffic Flow Prediction
Transport-Hub-Aware Spatial-Temporal Adaptive Graph Transformer for Traffic Flow Prediction
Xiao Xu
Lei Zhang
Bailong Liu
Zhi Liang
Xuefei Zhang
AI4TS
27
1
0
12 Oct 2023
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