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Continual Learning of Large Language Models: A Comprehensive Survey

https://doi.org/10.1145/3735633
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01219-9_9openalex-snapshot
Memory Aware Synapses: Learning What (not) to Forget
inferredcites →https://doi.org/10.1007/978-3-031-19809-0_15openalex-snapshot
CoSCL: Cooperation of Small Continual Learners is Stronger Than a Big One
inferredcites →https://doi.org/10.1007/978-3-031-70563-2_6openalex-snapshot
Continual Learning Under Language Shift
inferredcites →https://doi.org/10.1007/978-3-319-24486-0_13openalex-snapshot
Multi-task and Lifelong Learning of Kernels
inferredcites →https://doi.org/10.1007/s10994-009-5152-4openalex-snapshot
A theory of learning from different domains
inferredcites →https://doi.org/10.1016/j.jss.2023.111734openalex-snapshot
GitHub Copilot AI pair programmer: Asset or Liability?
inferredcites →https://doi.org/10.1016/j.neucom.2021.10.021openalex-snapshot
Online continual learning in image classification: An empirical survey
inferredcites →https://doi.org/10.1016/s0079-7421(08)60536-8openalex-snapshot
Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem
inferredcites →https://doi.org/10.1038/s42256-022-00568-3openalex-snapshot
Three types of incremental learning
inferredcites →https://doi.org/10.1073/pnas.1611835114openalex-snapshot
Overcoming catastrophic forgetting in neural networks
inferredcites →https://doi.org/10.1109/bibm58861.2023.10385733openalex-snapshot
AF Adapter: Continual Pretraining for Building Chinese Biomedical Language Model
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2017.587openalex-snapshot
iCaRL: Incremental Classifier and Representation Learning
inferredcites →https://doi.org/10.1109/cvpr.2017.670openalex-snapshot
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
inferredcites →https://doi.org/10.1109/cvpr.2018.00380openalex-snapshot
VizWiz Grand Challenge: Answering Visual Questions from Blind People
inferredcites →https://doi.org/10.1109/cvpr.2019.00046openalex-snapshot
Large Scale Incremental Learning
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00024openalex-snapshot
Learning to Prompt for Continual Learning
inferredcites →https://doi.org/10.1109/cvpr52729.2023.00360openalex-snapshot
Computationally Budgeted Continual Learning: What Does Matter?
inferredcites →https://doi.org/10.1109/cvpr52733.2024.02712openalex-snapshot
Generative Multi-modal Models are Good Class-Incremental Learners
inferredcites →https://doi.org/10.1109/cvprw50498.2020.00131openalex-snapshot
Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches
inferredcites →https://doi.org/10.1109/iccv51070.2023.01752openalex-snapshot
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
inferredcites →https://doi.org/10.1109/icdar.2019.00156openalex-snapshot
OCR-VQA: Visual Question Answering by Reading Text in Images
inferredcites →https://doi.org/10.1109/sp40001.2021.00019openalex-snapshot
Machine Unlearning
inferredcites →https://doi.org/10.1109/tnnls.2021.3072041openalex-snapshot
Memory-Efficient Class-Incremental Learning for Image Classification
inferredcites →https://doi.org/10.1109/tnnls.2024.3498935openalex-snapshot
A Survey on Knowledge Editing of Neural Networks
inferredcites →https://doi.org/10.1109/tpami.2017.2773081openalex-snapshot
Learning without Forgetting
inferredcites →https://doi.org/10.1109/tpami.2024.3367329openalex-snapshot
A Comprehensive Survey of Continual Learning: Theory, Method and Application
inferredcites →https://doi.org/10.1145/2872427.2883037openalex-snapshot
Ups and Downs
inferredcites →https://doi.org/10.1145/3447548.3467162openalex-snapshot
Dynamic Language Models for Continuously Evolving Content
inferredcites →https://doi.org/10.1145/3458754openalex-snapshot
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
inferredcites →https://doi.org/10.1145/3488560.3498529openalex-snapshot
Time Masking for Temporal Language Models
inferredcites →https://doi.org/10.1145/3533767.3534219openalex-snapshot
CIRCLE: continual repair across programming languages
inferredcites →https://doi.org/10.1145/3580305.3599891openalex-snapshot
QUERT: Continual Pre-training of Language Model for Query Understanding in Travel Domain Search
inferredcites →https://doi.org/10.1145/3583780.3615285openalex-snapshot
XuanYuan 2.0: A Large Chinese Financial Chat Model with Hundreds of Billions Parameters
inferredcites →https://doi.org/10.1145/3611643.3616244openalex-snapshot
On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code
inferredcites →https://doi.org/10.1145/3616855.3635772openalex-snapshot
K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization
inferredcites →https://doi.org/10.1162/tacl_a_00276openalex-snapshot
Natural Questions: A Benchmark for Question Answering Research
inferredcites →https://doi.org/10.1162/tacl_a_00459openalex-snapshot
Time-Aware Language Models as Temporal Knowledge Bases
inferredcites →https://doi.org/10.1609/aaai.v34i05.6239openalex-snapshot
PIQA: Reasoning about Physical Commonsense in Natural Language
inferredcites →https://doi.org/10.1609/aaai.v34i05.6428openalex-snapshot
ERNIE 2.0: A Continual Pre-Training Framework for Language Understanding
inferredcites →https://doi.org/10.1609/icwsm.v14i1.7347openalex-snapshot
The Pushshift Reddit Dataset
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.522openalex-snapshot
Editing Factual Knowledge in Language Models
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.685openalex-snapshot
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
inferredcites →https://doi.org/10.18653/v1/2021.naacl-main.52openalex-snapshot
Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence
inferredcites →https://doi.org/10.18653/v1/2022.acl-long.246openalex-snapshot
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.340openalex-snapshot
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.759openalex-snapshot
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
inferredcites →https://doi.org/10.18653/v1/2022.findings-emnlp.438openalex-snapshot
Calibrating Factual Knowledge in Pretrained Language Models
inferredcites →https://doi.org/10.18653/v1/2023.acl-long.368openalex-snapshot
Trillion Dollar Words: A New Financial Dataset, Task & Market Analysis
inferredcites →https://doi.org/10.18653/v1/2023.findings-acl.112openalex-snapshot
Large Language Models with Controllable Working Memory
inferredcites →https://doi.org/10.18653/v1/2023.findings-acl.723openalex-snapshot
Recyclable Tuning for Continual Pre-training
inferredcites →https://doi.org/10.18653/v1/2024.acl-long.840openalex-snapshot
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
inferredcites →https://doi.org/10.18653/v1/2024.emnlp-main.35openalex-snapshot
Mitigating the Alignment Tax of RLHF
inferredcites →https://doi.org/10.18653/v1/2024.findings-acl.809openalex-snapshot
Code Needs Comments: Enhancing Code LLMs with Comment Augmentation
inferredcites →https://doi.org/10.18653/v1/2024.findings-naacl.235openalex-snapshot
CodecLM: Aligning Language Models with Tailored Synthetic Data
inferredcites →https://doi.org/10.18653/v1/2024.naacl-long.37openalex-snapshot
InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning Large Language Models with Instructions
inferredcites →https://doi.org/10.18653/v1/d19-5808openalex-snapshot
Reasoning Over Paragraph Effects in Situations
inferredcites →https://doi.org/10.18653/v1/k17-1034openalex-snapshot
Zero-Shot Relation Extraction via Reading Comprehension
inferredcites →https://doi.org/10.18653/v1/n18-1023openalex-snapshot
Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences
inferredcites →https://doi.org/10.18653/v1/n18-1074openalex-snapshot
FEVER: a Large-scale Dataset for Fact Extraction and VERification
inferredcites →https://doi.org/10.18653/v1/p18-2124openalex-snapshot
Know What You Don’t Know: Unanswerable Questions for SQuAD
inferredcites →https://doi.org/10.18653/v1/w17-4508openalex-snapshot
TL;DR: Mining Reddit to Learn Automatic Summarization
inferredcites →https://doi.org/10.2139/ssrn.4495233openalex-snapshot
Continual Pre-Training Mitigates Forgetting in Language and Vision
inferredcites →https://doi.org/10.21437/interspeech.2014-564openalex-snapshot
One billion word benchmark for measuring progress in statistical language modeling
inferredcites →https://doi.org/10.48550/arxiv.1910.10683openalex-snapshot
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
inferredcites →https://doi.org/10.48550/arxiv.2102.01951openalex-snapshot
Mind the Gap: Assessing Temporal Generalization in Neural Language Models
inferredcites →https://doi.org/10.48550/arxiv.2112.09153openalex-snapshot
An Empirical Investigation of the Role of Pre-training in Lifelong Learning
inferredcites →https://doi.org/10.48550/arxiv.2202.05262openalex-snapshot
Locating and Editing Factual Associations in GPT
inferredcites →https://doi.org/10.48550/arxiv.2204.02311openalex-snapshot
PaLM: Scaling Language Modeling with Pathways
inferredcites →https://doi.org/10.48550/arxiv.2302.09432openalex-snapshot
BBT-Fin: Comprehensive Construction of Chinese Financial Domain Pre-trained Language Model, Corpus and Benchmark
inferredcites →https://doi.org/10.48550/arxiv.2303.17564openalex-snapshot
BloombergGPT: A Large Language Model for Finance
inferredcites →https://doi.org/10.48550/arxiv.2306.05443openalex-snapshot
PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance
inferredcites →https://doi.org/10.48550/arxiv.2308.05361openalex-snapshot
WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine
inferredcites →https://doi.org/10.48550/arxiv.2309.06126openalex-snapshot
AstroLLaMA: Towards Specialized Foundation Models in Astronomy
inferredcites →https://doi.org/10.48550/arxiv.2310.02031openalex-snapshot
OceanGPT: A Large Language Model for Ocean Science Tasks
inferredcites →https://doi.org/10.48550/arxiv.2310.10631openalex-snapshot
Llemma: An Open Language Model For Mathematics
inferredcites →https://doi.org/10.48550/arxiv.2310.13596openalex-snapshot
MarineGPT: Unlocking Secrets of Ocean to the Public
inferredcites →https://doi.org/10.48550/arxiv.2310.14029openalex-snapshot
LLM-Prop: Predicting Physical And Electronic Properties Of Crystalline Solids From Their Text Descriptions
inferredcites →https://doi.org/10.48550/arxiv.2311.09774openalex-snapshot
HuatuoGPT-II, One-stage Training for Medical Adaption of LLMs
inferredcites →https://doi.org/10.48550/arxiv.2311.16208openalex-snapshot
InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery
inferredcites →https://doi.org/10.48550/arxiv.2401.01600openalex-snapshot
PLLaMa: An Open-source Large Language Model for Plant Science
inferredcites →https://doi.org/10.52202/068431-0142openalex-snapshot
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
inferredcites →https://doi.org/10.52202/068431-1481openalex-snapshot
SparCL: Sparse Continual Learning on the Edge
inferredcites →https://doi.org/10.52202/079017-0046openalex-snapshot
SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Optimizing the Management of the Tahfidz Learning Program at NU Islamic Elementary School: Instilling Qur'anic Values from an Early Age
inferred← citeshttps://doi.org/10.3390/app15148103openalex-snapshot
Large Language Models: A Structured Taxonomy and Review of Challenges, Limitations, Solutions, and Future Directions
inferred← citeshttps://doi.org/10.3390/s25133987openalex-snapshot
Towards Predictive Communication: The Fusion of Large Language Models and Brain–Computer Interface
inferred← citeshttps://doi.org/10.52825/ocp.v4i.2491openalex-snapshot
RWTH-DBIS at LLMs4OL 2024 Tasks A and B
inferred← citeshttps://doi.org/10.61453/jods.v20260214openalex-snapshot
Continual Learning Frameworks for Long-Term Knowledge Retention in Evolving Data Streams
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