Learning to Route LLMs from Implicit Cost-Performance Preferences via Meta-Learning

arXiv:2606.06178 · cs.LG, cs.AI, cs.CL · Submitted 2026-06-04 · Read on arXiv

cs.LG, cs.AI, cs.CL

Submitted: 2026-06-04

Updated: 2026-06-04

Journal ref: Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence (IJCAI 2026), pp. 6045-6053, 2026

DOI: 10.24963/ijcai.2026/673

Code: https://github.com/meta-llama/llama3

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Meta-learning — 15× in this paper · explained in 2 episodes
• AUC — 11× in this paper · explained in 2 episodes
• Generalization — 10× in this paper · explained in 13 episodes
• Adaptation — 9× in this paper · explained in 1 episode
• Robustness — 6× in this paper · explained in 5 episodes
• Reinforcement Learning — 4× in this paper · explained in 4 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Large Language Models (LLMs) — 3× in this paper · explained in 6 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• Score Function — 3× in this paper · explained in 4 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Contextual Bandit Problem — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Edge Devices — 2× in this paper · explained in 2 episodes
• Entropy Regularization — 2× in this paper
• Hybrid System — 2× in this paper · explained in 2 episodes
• LLM judge — 2× in this paper · explained in 2 episodes
• Noise Injection — 2× in this paper
• Pairwise Comparisons — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Action Space — 1× in this paper · explained in 1 episode
• Adaptability — 1× in this paper · explained in 1 episode
• Area Under the CostPerformance Curve — 1× in this paper
• Benchmark — 1× in this paper · explained in 2 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Contextual Bandits — 1× in this paper · explained in 3 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Gated Residual Mechanism — 1× in this paper
• Inverted Generational Distance — 1× in this paper
• Personalization — 1× in this paper · explained in 2 episodes
• Reward Function — 1× in this paper · explained in 2 episodes

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