Task-Oriented Rank Adaptation for Continual Learning in Text Classification

arXiv:2610.01702 · cs.CL · Submitted 2026-10-01 · Read on arXiv

cs.CL

Submitted: 2026-10-01

Updated: 2026-10-01

Terminology

• Adaptation — 27× in this paper · explained in 1 episode
• Benchmark — 16× in this paper · explained in 2 episodes
• Continual Learning — 16× in this paper · explained in 2 episodes
• Task-Oriented Rank Adaptation — 12× in this paper
• Accuracy — 11× in this paper · explained in 1 episode
• Catastrophic Forgetting — 8× in this paper · explained in 5 episodes
• Fine-Tuning — 7× in this paper · explained in 5 episodes
• Cosine Similarity — 5× in this paper · explained in 3 episodes
• Parameter-Efficient Fine-Tuning — 5× in this paper · explained in 2 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• LoRA Adapters — 3× in this paper · explained in 3 episodes
• LoRA Adaptation — 2× in this paper · explained in 2 episodes
• Parameter-Efficient Fine-Tuning (PEFT) — 2× in this paper · explained in 4 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Causal Reasoning — 1× in this paper · explained in 2 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Parameter Efficiency — 1× in this paper · explained in 3 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes
• alpha — 1× in this paper · explained in 1 episode

Sources

• On Tiny Episodic Memories in Continual Learning
• Gradient Descent Happens in a Tiny Subspace
• Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning
• An overview of gradient descent optimization algorithms
• DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Related papers

• Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
• Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
• Subliminal Steering: Stronger Encoding of Hidden Signals
• MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
• The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
• Untangling the Mechanisms of Misleading Context in Medical Question Answering