ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2205.02014
  4. Cited By
On Continual Model Refinement in Out-of-Distribution Data Streams

On Continual Model Refinement in Out-of-Distribution Data Streams

4 May 2022
Bill Yuchen Lin
Sida I. Wang
Xi Victoria Lin
Robin Jia
Lin Xiao
Xiang Ren
Wen-tau Yih
    CLL
ArXivPDFHTML

Papers citing "On Continual Model Refinement in Out-of-Distribution Data Streams"

25 / 25 papers shown
Title
Gradient Localization Improves Lifelong Pretraining of Language Models
Gradient Localization Improves Lifelong Pretraining of Language Models
Jared Fernandez
Yonatan Bisk
Emma Strubell
KELM
31
1
0
07 Nov 2024
Novel-WD: Exploring acquisition of Novel World Knowledge in LLMs Using
  Prefix-Tuning
Novel-WD: Exploring acquisition of Novel World Knowledge in LLMs Using Prefix-Tuning
Maxime Méloux
Christophe Cerisara
KELM
CLL
24
0
0
30 Aug 2024
LEMoE: Advanced Mixture of Experts Adaptor for Lifelong Model Editing of
  Large Language Models
LEMoE: Advanced Mixture of Experts Adaptor for Lifelong Model Editing of Large Language Models
Renzhi Wang
Piji Li
KELM
CLL
37
7
0
28 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
39
3
0
25 Jun 2024
Better Late Than Never: Formulating and Benchmarking Recommendation
  Editing
Better Late Than Never: Formulating and Benchmarking Recommendation Editing
Chengyu Lai
Sheng Zhou
Zhimeng Jiang
Qiaoyu Tan
Yuanchen Bei
Jiawei Chen
Ningyu Zhang
Jiajun Bu
OffRL
KELM
33
0
0
06 Jun 2024
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of
  Large Language Models
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models
Peng Wang
Zexi Li
Ningyu Zhang
Ziwen Xu
Yunzhi Yao
Yong-jia Jiang
Pengjun Xie
Fei Huang
Huajun Chen
KELM
CLL
45
20
0
23 May 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
Continual Learning of Large Language Models: A Comprehensive Survey
Continual Learning of Large Language Models: A Comprehensive Survey
Haizhou Shi
Zihao Xu
Hengyi Wang
Weiyi Qin
Wenyuan Wang
Yibin Wang
Zifeng Wang
Sayna Ebrahimi
Hao Wang
CLL
KELM
LRM
39
62
0
25 Apr 2024
Scalable Model Editing via Customized Expert Networks
Scalable Model Editing via Customized Expert Networks
Zihan Yao
Yu He
Tianyu Qi
Ming Li
KELM
32
4
0
03 Apr 2024
Data-driven Discovery with Large Generative Models
Data-driven Discovery with Large Generative Models
Bodhisattwa Prasad Majumder
Harshit Surana
Dhruv Agarwal
Sanchaita Hazra
Ashish Sabharwal
Peter Clark
35
9
0
21 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
18
6
0
02 Feb 2024
MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA
MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA
Lang Yu
Qin Chen
Jie Zhou
Liang He
KELM
13
45
0
19 Dec 2023
How Do Large Language Models Capture the Ever-changing World Knowledge?
  A Review of Recent Advances
How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances
Zihan Zhang
Meng Fang
Lingxi Chen
Mohammad-Reza Namazi-Rad
Jun Wang
KELM
17
21
0
11 Oct 2023
Continual Learning for Out-of-Distribution Pedestrian Detection
Continual Learning for Out-of-Distribution Pedestrian Detection
Mahdiyar Molahasani
Ali Etemad
Michael A. Greenspan
OODD
18
3
0
26 Jun 2023
Estimating Semantic Similarity between In-Domain and Out-of-Domain
  Samples
Estimating Semantic Similarity between In-Domain and Out-of-Domain Samples
Rhitabrat Pokharel
Ameeta Agrawal
OODD
19
2
0
01 Jun 2023
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation
Da Yin
Xiao Liu
Fan Yin
Ming Zhong
Hritik Bansal
Jiawei Han
Kai-Wei Chang
ALM
34
37
0
23 May 2023
Lifelong Language Pretraining with Distribution-Specialized Experts
Lifelong Language Pretraining with Distribution-Specialized Experts
Wuyang Chen
Yan-Quan Zhou
Nan Du
Yanping Huang
James Laudon
Z. Chen
Claire Cu
KELM
13
47
0
20 May 2023
Robust Question Answering against Distribution Shifts with Test-Time
  Adaptation: An Empirical Study
Robust Question Answering against Distribution Shifts with Test-Time Adaptation: An Empirical Study
Hai Ye
Yuyang Ding
Juntao Li
Hwee Tou Ng
OOD
TTA
21
9
0
09 Feb 2023
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
Huaxiu Yao
Caroline Choi
Bochuan Cao
Yoonho Lee
Pang Wei Koh
Chelsea Finn
OOD
19
73
0
25 Nov 2022
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value
  Adaptors
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
Thomas Hartvigsen
S. Sankaranarayanan
Hamid Palangi
Yoon Kim
Marzyeh Ghassemi
KELM
14
143
0
20 Nov 2022
Fine-tuned Language Models are Continual Learners
Fine-tuned Language Models are Continual Learners
Thomas Scialom
Tuhin Chakrabarty
Smaranda Muresan
CLL
LRM
139
116
0
24 May 2022
Fast Model Editing at Scale
Fast Model Editing at Scale
E. Mitchell
Charles Lin
Antoine Bosselut
Chelsea Finn
Christopher D. Manning
KELM
219
341
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
211
1,656
0
15 Oct 2021
Towards Continual Knowledge Learning of Language Models
Towards Continual Knowledge Learning of Language Models
Joel Jang
Seonghyeon Ye
Sohee Yang
Joongbo Shin
Janghoon Han
Gyeonghun Kim
Stanley Jungkyu Choi
Minjoon Seo
CLL
KELM
222
150
0
07 Oct 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in
  NLP
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
Qinyuan Ye
Bill Yuchen Lin
Xiang Ren
209
179
0
18 Apr 2021
1