early stopping

Efficient Hyperparameter Optimization for LLM Reinforcement Learning ACL 2026 Proximal Policy Optimization Suffices for On-Policy Reinforcement Learning UAI 2026 S2O: Early Stopping for Sparse Attention via Online Permutation ACL 2026 Toward Early Quality Assessment of Text-to-Image Diffusion Models CVPR 2026 Answer Convergence as a Signal for Early Stopping in Reasoning EMNLP 2025 A Theoretical Framework For Overfitting In Energy-based Modeling ICML 2025 A Trajectory-Based Bayesian Approach to Multi-Objective Hyperparameter Optimization with Epoch-Aware Trade-Offs UAI 2025 Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression ICML 2025 ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning EMNLP 2025 From Token to Action: State Machine Reasoning to Mitigate Overthinking in Information Retrieval EMNLP 2025 High-Dimensional L2-Boosting: Rate of Convergence JMLR 2025 Instance-dependent Early Stopping ICLR 2025 Knowing Before Saying: LLM Representations Encode Information About Chain-of-Thought Success Before Completion ACL 2025 On the Role of Label Noise in the Feature Learning Process ICML 2025 Pick-to-Learn and Self-Certified Gaussian Process Approximations AISTATS 2025 Reasoning Aware Self-Consistency: Leveraging Reasoning Paths for Efficient LLM Sampling NAACL 2025 Reliable and Scalable Variable Importance Estimation via Warm-start and Early Stopping AISTATS 2025 RTop-K: Ultra-Fast Row-Wise Top-K Selection for Neural Network Acceleration on GPUs ICLR 2025 Sharp Generalization for Nonparametric Regression by Over-Parameterized Neural Networks: A Distribution-Free Analysis in Spherical Covariate ICML 2025 Stability-based Generalization Analysis of Randomized Coordinate Descent for Pairwise Learning AAAI 2025 Stanford MLab at SemEval-2025 Task 11: Track B–Emotion Intensity Detection SemEval 2025 Weak-to-Strong Generalization Even in Random Feature Networks, Provably ICML 2025 BatchPrompt: Accomplish more with less ICLR 2024 Don’t Waste Your Time: Early Stopping Cross-Validation AutoML 2024 Early Stopping Against Label Noise Without Validation Data ICLR 2024