Unifying Detection and Adaptation in Task-Free Continual Learning

arXiv:2608.27070 · cs.LG, cs.CL · Submitted 2026-08-27 · Read on arXiv

cs.LG, cs.CL

Submitted: 2026-08-27

Updated: 2026-08-27

Code: https://github.com/SSG2019/FiUni

Terminology

• Benchmark — 53× in this paper · explained in 2 episodes
• Continual Learning — 38× in this paper · explained in 2 episodes
• Adaptation — 35× in this paper · explained in 1 episode
• Accuracy — 21× in this paper · explained in 1 episode
• Trace — 14× in this paper · explained in 2 episodes
• Fine-Tuning — 13× in this paper · explained in 5 episodes
• Fisher Information — 13× in this paper · explained in 3 episodes
• Ablation — 9× in this paper · explained in 1 episode
• Catastrophic Forgetting — 6× in this paper · explained in 5 episodes
• Long Sequence Benchmark — 6× in this paper
• Core — 5× in this paper · explained in 2 episodes
• Parameter-Efficient Fine-Tuning — 5× in this paper · explained in 2 episodes
• Regularization — 5× in this paper · explained in 3 episodes
• Standard CL Benchmark — 5× in this paper
• Transformer — 4× in this paper · explained in 2 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Downstream Tasks — 2× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Transfer Learning — 2× in this paper · explained in 10 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Adaptive Mechanism — 1× in this paper · explained in 1 episode
• Computational overhead — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Low-Rank Adaptation (LoRA) — 1× in this paper · explained in 9 episodes
• Parameter Efficiency — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
• The Llama 3 Herd of Models
• Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
• Continual Learning of Natural Language Processing Tasks: A Survey
• Lifelong Learning with Dynamically Expandable Networks
• Continual Learning for Large Language Models: A Survey
• Qwen2.5 Technical Report
• Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
• TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

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