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Weicheng Meng

2 accepted papers

2026

PCLR: Progressively Compressed LoRA for Multimodal Continual Instruction Tuning

ICLR 2026poster

Continual Instruction Tuning (CIT) enables Large Multimodal Models (LMMs) to rapidly adapt to new tasks without retraining, but it suffers from the catastrophic forgetting problem. By adding new branches, model extension provides a great idea to accommodate novel knowledge while causing huge memory…

Cited by 0SourcecodeScholar
2025

MVQA: Mamba with Unified Sampling for Efficient Video Quality Assessment

ICCV 2025poster

The rapid growth of long-duration, high-definition videos has made efficient video quality assessment (VQA) a critical challenge. Existing research typically tackles this problem through two main strategies: reducing model parameters and resampling inputs. However, light-weight Convolution Neural Ne…