efficient inference

AccKV: Towards Efficient Audio-Video LLMs Inference via Adaptive-Focusing and Cross-Calibration KV Cache Optimization AAAI 2026 Adaptive Bayesian Early-Exit Networks for Efficient Non-Transferable Learning CVPR 2026 Alloc-MoE: Budget-Aware Expert Activation Allocation for Efficient Mixture-of-Experts Inference ACL 2026 Beyond Real Weights: Hypercomplex Representations for Stable Quantization WACV 2026 Block-Sparse Global Attention for Efficient Multi-View Geometry Transformers CVPR 2026 Calibrated Speculative Decoding: Frequency-Guided Candidate Selection for Efficient Inference ACL 2026 D²Pruner: Debiased Importance and Structural Diversity for MLLM Token Pruning AAAI 2026 DDiT: Dynamic Patch Scheduling for Efficient Diffusion Transformers CVPR 2026 Decoding Text Spans for Efficient and Accurate Named-Entity Recognition ACL 2026 DeepInsert: Early Layer Bypass for Efficient and Performant Multimodal Understanding EACL 2026 Evo-1: Lightweight Vision-Language-Action Model with Preserved Semantic Alignment CVPR 2026 FlashVGGT: Efficient and Scalable Visual Geometry Transformers with Compressed Descriptor Attention CVPR 2026 HiFi-Mesh: High-Fidelity Efficient 3D Mesh Generation via Compact Autoregressive Dependence AAAI 2026 HybridKV: Hybrid KV Cache Compression for Efficient Multimodal Large Language Model Inference ACL 2026 LADR: Locality-Aware Dynamic Rescue for Efficient Text-to-Image Generation with Diffusion Large Language Models ACL 2026 Making Large Language Models Efficient Dense Retrievers ACL 2026 MeToM: Metadata-Guided Token Merging for Efficient Video LLMs CVPR 2026 Mixture-of-Trees: Learning to Select and Weigh Reasoning Paths for Efficient LLM Inference AAAI 2026 MoDES: Accelerating Mixture-of-Experts Multimodal Large Language Models via Dynamic Expert Skipping CVPR 2026 MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation AAAI 2026 One Layer's Trash is Another Layer's Treasure: Adaptive Layer-wise Visual Token Selection in LVLMs CVPR 2026 PartialNet: Compute Less, Perform Better AAAI 2026 Rethinking Token Reduction for Large Vision-Language Models CVPR 2026 See the Forest for the Trees: Loosely Speculative Decoding via Visual-Semantic Guidance for Efficient Inference of Video LLMs ACL 2026 Sharp Eyes and Memory for VideoLLMs: Information-Aware Visual Token Pruning for Efficient and Reliable VideoLLM Reasoning AAAI 2026