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Optimization

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Papers

ConstraintLLM: A Neuro-Symbolic Framework for Industrial-Level Constraint Programming EMNLP 2025 Constraint Optimisation Approaches for Designing Group-Living Captive Breeding Programmes AAAI 2025 Constraint-Preserving Data Generation for One-Shot Visuomotor Policy Generalization CoRL 2025 Constructing Your Model’s Value Distinction: Towards LLM Alignment with Anchor Words Tuning EMNLP 2025 Context-aware Biases for Length Extrapolation EMNLP 2025 Context-aware Dynamic Pruning for Speech Foundation Models ICLR 2025 Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement WACV 2025 Context Guided Transformer Entropy Modeling for Video Compression ICCV 2025 Contextual Bandits for Unbounded Context Distributions ICML 2025 Contextual Optimization Under Model Misspecification: A Tractable and Generalizable Approach ICML 2025 Continual Adaptation: Environment-Conditional Parameter Generation for Object Detection in Dynamic Scenarios ICCV 2025 Continual Unsupervised Generative Modelling via Online Optimal Transport AAAI 2025 Continuous Diffusion for Mixed-Type Tabular Data ICLR 2025 Continuous Diffusive Prediction Network for Multi-Station Weather Prediction IJCAI 2025 Continuous Exposure Learning for Low-light Image Enhancement using Neural ODEs ICLR 2025 Continuous-Time Attention: PDE-Guided Mechanisms for Long-Sequence Transformers EMNLP 2025 Continuous Visual Autoregressive Generation via Score Maximization ICML 2025 Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion ICML 2025 Controllable Memorization in LLMs via Weight Pruning EMNLP 2025 Controllable Unlearning for Image-to-Image Generative Models via ε-Constrained Optimization ICLR 2025 Controlled LLM Decoding via Discrete Auto-regressive Biasing ICLR 2025 Controlled Low-Rank Adaptation with Subspace Regularization for Continued Training on Large Language Models ACL 2025 Control-oriented Clustering of Visual Latent Representation ICLR 2025 Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers EMNLP 2025 Convergence Analysis of Federated Learning Methods Using Backward Error Analysis AAAI 2025