CPR for LLMs: Critical-Point Routing against Catastrophic Forgetting in Domain Adaptation

arXiv:2608.30158 · cs.CL, cs.AI · Submitted 2026-08-31 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-08-31

Updated: 2026-10-08

Code: https://github.com/kwang-min-ki/CPR

Terminology

• Benchmark — 52× in this paper · explained in 2 episodes
• Accuracy — 25× in this paper · explained in 1 episode
• Catastrophic Forgetting — 15× in this paper · explained in 5 episodes
• Adaptation — 11× in this paper · explained in 1 episode
• Ablation — 9× in this paper · explained in 1 episode
• Fine-Tuning — 9× in this paper · explained in 5 episodes
• Regularization — 8× in this paper · explained in 3 episodes
• Generalization — 7× in this paper · explained in 13 episodes
• Ablation study — 6× in this paper · explained in 1 episode
• Robustness — 6× in this paper · explained in 5 episodes
• Decoupling — 5× in this paper · explained in 2 episodes
• Domain Adaptation — 5× in this paper · explained in 5 episodes
• In International Conference on Learning Representations — 3× in this paper
• KV cache — 3× in this paper · explained in 3 episodes
• Meeting of the Association for Computational Linguistics — 3× in this paper
• Positional Bias — 3× in this paper · explained in 2 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• Instruction Tuning — 2× in this paper · explained in 2 episodes
• Supervised Fine-Tuning (SFT) — 2× in this paper · explained in 8 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Chain-of-Thought (CoT) — 1× in this paper · explained in 4 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Deferral — 1× in this paper · explained in 2 episodes
• Empirical Methods in Natural Language Processing — 1× in this paper
• Failure Modes — 1× in this paper · explained in 3 episodes
• LLM judge — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Pairwise Comparisons — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Verifier — 1× in this paper · explained in 2 episodes

Sources

• Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
• Training Verifiers to Solve Math Word Problems
• Entropy-Adaptive Fine-Tuning: Resolving Confident Conflicts to Mitigate Forgetting
• Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators
• The Llama 3 Herd of Models
• MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data
• Gemma 3 Technical Report
• Token-Level LLM Collaboration via FusionRoute
• Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

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