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Continual Learning

1895 directly classified papers

Papers per year

Papers

Temporal Information Retrieval via Time-Specifier Model Merging ACL 2025
UNLEARN Efficient Removal of Knowledge in Large Language Models NAACL 2025
PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation AAAI 2025
Dynamic Prefix as Instructor for Incremental Named Entity Recognition: A Unified Seq2Seq Generation Framework ACL 2025
AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting ACL 2025
Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective AAAI 2025
KostasThesis2025 at SemEval-2025 Task 10 Subtask 2: A Continual Learning Approach to Propaganda Analysis in Online News ACL 2025
TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora ACL 2025
1-800-SHARED-TASKS at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains COLING 2025
When to Learn and When to Stop: Quitting at the Optimal Time (Student Abstract) AAAI 2025
Dynamic Expansion Diffusion Learning for Lifelong Generative Modelling AAAI 2025
Learn to Memorize: Scalable Continual Learning in Semiparametric Models with Mixture-of-Neighbors Induction Memory ACL 2025
Recurrent Knowledge Identification and Fusion for Language Model Continual Learning ACL 2025
Amuro & Char: Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Models NAACL 2025
Advancing SMoE for Continuous Domain Adaptation of MLLMs: Adaptive Router and Domain-Specific Loss ACL 2025
Don’t Half-listen: Capturing Key-part Information in Continual Instruction Tuning ACL 2025
Continual Unsupervised Generative Modelling via Online Optimal Transport AAAI 2025
Specifying What You Know or Not for Multi-Label Class-Incremental Learning AAAI 2025
Language Models Resist Alignment: Evidence From Data Compression ACL 2025
MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation ACL 2025
Exploring Rationale Learning for Continual Graph Learning AAAI 2025
Controlled Low-Rank Adaptation with Subspace Regularization for Continued Training on Large Language Models ACL 2025
Continual Gradient Low-Rank Projection Fine-Tuning for LLMs ACL 2025
Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration CVPR 2025
Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning AAAI 2025