ReCAP: Retrieval-Guided Capability Reuse for Multimodal Continual Instruction Tuning

arXiv:2609.37889 · cs.CV, cs.LG · Submitted 2026-09-29 · Read on arXiv

cs.CV, cs.LG

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Core — 61× in this paper · explained in 2 episodes
• Adaptation — 41× in this paper · explained in 1 episode
• Instruction Tuning — 19× in this paper · explained in 2 episodes
• RAG — 11× in this paper · explained in 3 episodes
• Benchmark — 8× in this paper · explained in 2 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Continual Learning — 5× in this paper · explained in 2 episodes
• Grounding — 5× in this paper · explained in 3 episodes
• Catastrophic Forgetting — 4× in this paper · explained in 5 episodes
• Semantic Similarity — 4× in this paper · explained in 2 episodes
• Generative AI — 3× in this paper · explained in 2 episodes
• Knowledge Base Construction — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• ARK — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Adaptive Mechanism — 1× in this paper · explained in 1 episode
• Decode — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Knowledge Graph — 1× in this paper · explained in 7 episodes
• Knowledge graphs — 1× in this paper · explained in 2 episodes
• LoRA Adaptation — 1× in this paper · explained in 2 episodes
• Multimodal Reasoning — 1× in this paper · explained in 5 episodes
• Parameter Efficiency — 1× in this paper · explained in 3 episodes
• Parameter-Efficient Fine-Tuning — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 16 episodes
• Visual Grounding — 1× in this paper · explained in 2 episodes

Sources

• CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large Language Model
• SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning
• Atlas: Few-shot Learning with Retrieval Augmented Language Models
• CLEVR-Math: A Dataset for Compositional Language, Visual and Mathematical Reasoning
• IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning

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