Optimization

Mitigating Length Bias in RLHF Through a Causal Lens AAAI 2026 Mixture-of-Trees: Learning to Select and Weigh Reasoning Paths for Efficient LLM Inference AAAI 2026 M-Loss: Quantifying Model Merging Compatibility with Limited Unlabeled Data AAAI 2026 Model Whisper: Steering Vectors Unlock Large Language Models’ Potential in Test-Time AAAI 2026 MoETTA: Test-Time Adaptation Under Mixed Distribution Shifts with MoE-LayerNorm AAAI 2026 Monte Carlo Diffusion for Generalizable Learning-Based RANSAC AAAI 2026 MoRe: Monocular Geometry Refinement via Graph Optimization for Cross-View Consistency WACV 2026 More Than Memory Savings: Zeroth-Order Optimization Mitigates Forgetting in Continual Learning WACV 2026 Mosaic Pruning: A Hierarchical Framework for Generalizable Pruning of Mixture-of-Experts Models AAAI 2026 MoSs: Mixture of Scales for Efficient High-Resolution Autoregressive Image Generation AAAI 2026 MOTIF: Multi-strategy Optimization via Turn-based Interactive Framework AAAI 2026 MPD-SGR: Robust Spiking Neural Networks with Membrane Potential Distribution-Driven Surrogate Gradient Regularization AAAI 2026 MTRL-CG: Multi-Task Reinforcement Learning Method with Spectral Clustering-Based Task Grouping AAAI 2026 Multi-Agent Reinforcement Learning for Modeling, Simulating, and Optimizing Energy Markets AAAI 2026 Multi-distribution Learning: From Worst-Case Optimality to Lexicographic Min-Max Optimality ALT 2026 Multi-Metric Preference Alignment for Generative Speech Restoration AAAI 2026 Multi-Objective Bilevel Learning AAAI 2026 Multi-Task Test-time Adaptation via Gradient Consensus and Plasticity Constraint AAAI 2026 Multi-Value Alignment for LLMs via Value Decorrelation and Extrapolation AAAI 2026 Nanoporous Materials Discovery via Search Bias-Guided Surrogate Modeling AAAI 2026 Navigating the Alpha Jungle: An LLM-Powered MCTS Framework for Formulaic Alpha Factor Mining AAAI 2026 Nemotron-CrossThink: Scaling Self-Learning beyond Math Reasoning EACL 2026 NeuPAN: Direct Point Robot Navigation with End-to-End Model-Based Learning (Abstract Reprint) AAAI 2026 Neural Architecture and Hyperparameter Selection Through Meta-Learning on Time Series AAAI 2026 Neural Geometry Image-Based Representations with Optimal Transport (OT) WACV 2026