CopRoute: Dependence-Aware Conformal Routing for Language Models
cs.LG
Submitted: 2026-10-09
Updated: 2026-10-09
Code: https://github.com/kasakh/coproute
Sources
- Uncertainty Sets for Image Classifiers using Conformal Prediction
- Conformal Risk Control
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
- When Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier Models
- FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance
- Cost-Effective Online Multi-LLM Selection with Versatile Reward Models
- Language Model Cascades
- Language Model Cascades: Token-level uncertainty and beyond
- RACER: Risk-Aware Calibrated Efficient Routing for Large Language Models
- Valid Selection among Conformal Sets
- RouterBench: A Benchmark for Multi-LLM Routing System
- LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion
- LLM Bandit: Cost-Efficient LLM Generation via Preference-Conditioned Dynamic Routing
- RouteLLM: Learning to Route LLMs with Preference Data
- Conformal Language Modeling
- Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling
- Large Language Model Routing with Benchmark Datasets
- Correlation-Aware Contextual Bandits with Surrogate Rewards for LLM Routing
- CP-Router: An Uncertainty-Aware Router Between LLM and LRM
- Don't Always Pick the Highest-Performing Model: An Information Theoretic View of LLM Ensemble Selection
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks