Optimization

Finding the Signal in the Spam: Jointly Learning Rewards and Worker Reliability from Pairwise Comparisons UAI 2026 Fine-Tuned LLMs Know They Don’t Know: A Parameter-Efficient Approach to Recovering Honesty AAAI 2026 Fine-Tuning Sample Order Matters in Propositional Logical Question-Answering (Student Abstract) AAAI 2026 Firing Bits Where It Matters: Spiking-Guided Just Recognizable Distortion Modeling for Machine-Centric Video Coding AAAI 2026 First-Order Error Matters: Accurate Compensation for Quantized Large Language Models AAAI 2026 Fixed-Confidence Best-Arm Identification for Causal Mediation Analysis UAI 2026 FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation AAAI 2026 FLAT-LLM: Fine-grained Low-rank Activation Space Transformation for Large Language Model Compression EACL 2026 Flavors of Margin: Implicit Bias of Steepest Descent in Homogeneous Neural Networks JMLR 2026 Flow-Based Knowledge Transfer for Efficient Large Model Distillation AAAI 2026 Force-Aware 3D Contact Modeling for Stable Grasp Generation AAAI 2026 FP=XINT: Representing Neural Networks via Low-Bit Series Basis Functions AAAI 2026 FreLay: Frequency-aware Energy Function for Training-free Layout-to-Image Generation AAAI 2026 Frequency Is What You Need: Considering Word Frequency When Text Masking Benefits Vision-Language Model Pre-training WACV 2026 From Continual Learning to SGD and Back: Better Rates for Continual Linear Models ALT 2026 From Intent to Execution: Multimodal Chain-of-Thought Reinforcement Learning for Precise CAD Code Generation AAAI 2026 From Mathematical Reasoning to Code: Generalization of Process Reward Models in Test-Time Scaling AAAI 2026 From Parameter to Representation: A Closed-Form Approach for Controllable Model Merging AAAI 2026 From Sequential to Recursive: Enhancing Decision-Focused Learning with Bidirectional Feedback AAAI 2026 FT-NCFM: An Influence-Aware Data Distillation Framework for Efficient VLA Models AAAI 2026 FUSION: Dataset Pruning via Fusing Uncertainty with Structural Information for Optimal Neural Training in Crystal Property Prediction AAAI 2026 GAHMN: A Generative Approach for High-Dimensional Mediation Analysis AAAI 2026 GateRA: Token-aware Modulation for Parameter-Efficient Fine-tuning AAAI 2026 GCImOpt: Learning efficient goal-conditioned policies by imitating optimal trajectories L4DC 2026 GDBA Revisited: Unleashing the Power of Guided Local Search for Distributed Constraint Optimization AAAI 2026