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Linlan Huang

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 11:22 PM AMS

4

papers

68

total citations

papers (4)

Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion

Generative Multi-modal Models are Good Class Incremental Learners

Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning

NEURIPS 2025arXiv

Mind the Gap: Preserving and Compensating for the Modality Gap in CLIP-Based Continual Learning