Optimization & Theory

Rethinking Data Mixing from the Perspective of Large Language Models ACL 2026 Revisiting Downsampling in Semantic Segmentation: Fighting Aliasing with Dynamic Gaussian and Gabor Frequency Filters AAAI 2026 Revisiting Layer Normalization for Point Cloud Test Time Adaptation WACV 2026 Revisiting Network Inertia: Dynamic Inertia Inhibition Coupled Multidimensional Periodicity for Infrared and Visible Image Fusion AAAI 2026 Revisiting Token Compression for Accelerating ViT-based Sparse Multi-View 3D Object Detectors CVPR 2026 Reviving ConvNeXt for Efficient Convolutional Diffusion Models CVPR 2026 RoBSA: RoPE-based Blockwise Sparse Multi-head Latent Attention ACL 2026 RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-Agents ACL 2026 S2D: Selective Spectral Decay for Quantization-Friendly Conditioning of Neural Activations CVPR 2026 S2FT: Parameter-Efficient Fine-Tuning in Sparse Spectrum Domain CVPR 2026 Sampling-Aware Quantization for Diffusion Models CVPR 2026 Scaling Law for Multimodal Large Language Model Supervised Fine-Tuning ACL 2026 Scaling Laws for Code: A More Data-Hungry Regime ACL 2026 Scaling Parallel Sequence Models to Vision Foundation Models CVPR 2026 Scaling View Synthesis Transformers CVPR 2026 SCoRe: Salience-Coverage Reduction for Vision Token Pruning in Vision-Language Models CVPR 2026 SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization WACV 2026 SEA-BED: How Do Embedding Models Represent Southeast Asian Languages? ACL 2026 SeaCache: Spectral-Evolution-Aware Cache for Accelerating Diffusion Models CVPR 2026 SED-SFT: Selectively Encouraging Diversity in Supervised Fine-Tuning ACL 2026 Seeing Beyond: Extrapolative Domain Adaptive Panoramic Segmentation CVPR 2026 See the Forest for the Trees: Loosely Speculative Decoding via Visual-Semantic Guidance for Efficient Inference of Video LLMs ACL 2026 Segmentation Fault at SemEval-2026 Task 13: A Regularization-First Approach with Generator-Based Out-of-Distribution Splits for Detecting AI-Generated Code SemEval 2026 SegMo: Co-Designing Content-Aware Sparsity and Locally-Cohesive Segment Parallelism for Efficient VLM Inference CVPR 2026 SegQuant: A Semantics-Aware and Generalizable Quantization Framework for Diffusion Models CVPR 2026