Optimization

Tightening Robustness Verification of MaxPool-based Neural Networks via Minimizing the Over-Approximation Zone CVPR 2025 Tight Lower Bounds under Asymmetric High-Order Hölder Smoothness and Uniform Convexity ICLR 2025 Tight Runtime Guarantees From Understanding the Population Dynamics of the GSEMO Multi-Objective Evolutionary Algorithm IJCAI 2025 Tight Time Complexities in Parallel Stochastic Optimization with Arbitrary Computation Dynamics ICLR 2025 Tile-wise vs. Image-wise: Random-Tile Loss and Training Paradigm for Gaussian Splatting ICCV 2025 Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning AAAI 2025 Tilted Sharpness-Aware Minimization ICML 2025 TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting ICLR 2025 Time of the Flight of the Gaussians: Optimizing Depth Indirectly in Dynamic Radiance Fields CVPR 2025 Time Series Supplier Allocation via Deep Black-Litterman Model AAAI 2025 Time to Revisit Exact Match EMNLP 2025 TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights ICLR 2025 To Clip or not to Clip: the Dynamics of SGD with Gradient Clipping in High-Dimensions ICLR 2025 To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization ACL 2025 To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning ICLR 2025 Token-Budget-Aware LLM Reasoning ACL 2025 Token-level Preference Self-Alignment Optimization for Multi-style Outline Controllable Generation ACL 2025 Token Level Routing Inference System for Edge Devices ACL 2025 Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem? ACL 2025 TokenSelect: Efficient Long-Context Inference and Length Extrapolation for LLMs via Dynamic Token-Level KV Cache Selection EMNLP 2025 TokenSkip: Controllable Chain-of-Thought Compression in LLMs EMNLP 2025 Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models ICLR 2025 To Label or Not to Label: PALM - A Predictive Model for Evaluating Sample Efficiency in Active Learning Models ICCV 2025 ToM: Leveraging Tree-oriented MapReduce for Long-Context Reasoning in Large Language Models EMNLP 2025 ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models ACL 2025