model compression

1LoRA: Summation Compression for Very Low-Rank Adaptation WACV 2026 Adaptive Compute Efficient Learning via Conceptual-Criticality (Student Abstract) AAAI 2026 Adaptive Data Flywheel: Applying MAPE Control Loops to AI Agent Improvement EACL 2026 AdaptViG: Adaptive Vision GNN with Exponential Decay Gating WACV 2026 AdaSVD: Singular Value Decomposition with Adaptive Mechanisms for Large Multimodal Models CVPR 2026 AFRAgent : An Adaptive Feature Renormalization Based High Resolution Aware GUI agent WACV 2026 AfriNLLB: Efficient Translation Models for African Languages EACL 2026 AgentSlimming: Towards Efficient and Cost-Aware Multi-Agent Systems ACL 2026 AntiDote: Bi-level Adversarial Training for Tamper-Resistant LLMs AAAI 2026 APEX-Q: Arbitrary-dimension Product-EXtension Quantization for Accelerated LLM Deployment (Student Abstract) AAAI 2026 A Universal Self-Attention Enhancement for Bridging Low-bit Quantization and Vision Transformers WACV 2026 Balanced Knowledge Distillation for Large Language Models with Mix-of-Experts AAAI 2026 BD-Net: Has Depth-Wise Convolution Ever Been Applied in Binary Neural Networks? AAAI 2026 Benchmarking Post-Training Quantization of Large Language Models under Microscaling Floating Point Formats ACL 2026 Beyond One-Step Distillation: Bridging the Capacity Gap in Small Language Models via Multi-Step Knowledge Transfer EACL 2026 Beyond Real Weights: Hypercomplex Representations for Stable Quantization WACV 2026 Beyond Variance: Knowledge-Aware LLM Compression via Fisher-Aligned Subspace Diagnostics ACL 2026 BinaryAttention: One-Bit QK-Attention for Vision and Diffusion Transformers CVPR 2026 Bit-by-Bit: Progressive QAT Strategy with Outlier Channel Splitting for Stable Low-Bit LLMs ACL 2026 Bound to Disagree: Generalization Bounds via Certifiable Surrogates UAI 2026 BTC-LLM: Efficient Sub-1-Bit LLM Quantization via Learnable Transformation and Binary Codebook ACL 2026 BWLA: Breaking the Barrier of W1AX Post-Training Quantization for LLMs ACL 2026 CacheNotes: Task-Aware Key-Value Cache Compression for Reasoning-Intensive Knowledge Tasks EACL 2026 CAMERA: Multi-Matrix Joint Compression for MoE Models via Micro-Expert Redundancy Analysis AAAI 2026 CanKD: Cross-Attention-based Non-local Operation for Feature-based Knowledge Distillation WACV 2026