model selection

AutoAnoEval: Semantic-Aware Model Selection via Tree-Guided LLM Reasoning for Tabular Anomaly Detection EACL 2026 Confidence-Driven Multi-Scale Model Selection for Cost-Efficient Inference EACL 2026 Consensus vs. Controversy: Mapping the Decision Space Where Architectures Diverge CVPR 2026 How Robust Are Router-LLMs? Analysis of the Fragility of LLM Routing Capabilities EACL 2026 ICL-Router: In-Context Learned Model Representations for LLM Routing AAAI 2026 Mixture-Greedy for Online Generative Model Selection: Is UCB Necessary in Diversity-Aware Multi-Armed Bandits? UAI 2026 MKJ at SemEval-2026 Task 9: A Comparative Study of Generalist, Specialist, and Ensemble Strategies for Multilingual Polarization SemEval 2026 MTRouter: Cost-Aware Multi-Turn LLM Routing with History–Model Joint Embeddings ACL 2026 PSEO: Optimizing Post-hoc Stacking Ensemble Through Hyperparameter Tuning AAAI 2026 Realist and Pluralist Conceptions of Intelligence and Their Implications on AI Research AAAI 2026 Rethinking Model Selection in VLM Through the Lens of Gromov-Wasserstein Distance CVPR 2026 RoSE: Round-robin Synthetic Data Evaluation for Selecting LLM Generators without Human Test Sets EACL 2026 RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-Agents ACL 2026 Sensor Model Identification via Simultaneous Model Selection and State Variable Determination (Abstract Reprint) AAAI 2026 The Sample Complexity of Parameter-Free Stochastic Convex Optimization JMLR 2026 A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets AISTATS 2025 AD-LLM: Benchmarking Large Language Models for Anomaly Detection ACL 2025 All models are wrong, some are useful: Model Selection with Limited Labels AISTATS 2025 A Multi-Armed Bandit Approach to Online Selection and Evaluation of Generative Models AISTATS 2025 A Realistic Protocol for Evaluation of Weakly Supervised Object Localization WACV 2025 A Simple and Comprehensive Benchmark for Single-Cell Transcriptomics AAAI 2025 Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components AAAI 2025 A Systematic Analysis of Base Model Choice for Reward Modeling EMNLP 2025 A Unified Approach to Routing and Cascading for LLMs ICML 2025 AutoIntent: AutoML for Text Classification EMNLP 2025