efficient inference

STEG-AIW: Spatio-Temporal Gating and Adaptive-Timestep Inference for Efficient Spiking Neural Networks WACV 2026 SToRe3D: Sparse Token Relevance in ViTs for Efficient Multi-View 3D Object Detection CVPR 2026 Thesis Proposal: Efficient KV Cache Reuse for Multi-Document Retrieval-Augmented Generation EACL 2026 TinyChemVL: Advancing Chemical Vision-Language Models via Efficient Visual Token Reduction and Complex Reaction Tasks AAAI 2026 Towards Efficient and Effective Diffusion Language Model Inference via Semantic-Aware Adaptive Denoising ACL 2026 T-pro 2.0: An Efficient Russian Hybrid-Reasoning Model and Playground EACL 2026 VLM-Pruner: Buffering for Spatial Sparsity in an Efficient VLM Centrifugal Token Pruning Paradigm CVPR 2026 500xCompressor: Generalized Prompt Compression for Large Language Models ACL 2025 A2ATS: Retrieval-Based KV Cache Reduction via Windowed Rotary Position Embedding and Query-Aware Vector Quantization ACL 2025 Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference AAAI 2025 AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning ICCV 2025 AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning CVPR 2025 Bitnet.cpp: Efficient Edge Inference for Ternary LLMs ACL 2025 BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices CVPR 2025 C3oT: Generating Shorter Chain-of-Thought Without Compromising Effectiveness AAAI 2025 ClusterAttn: KV Cache Compression under Intrinsic Attention Clustering ACL 2025 Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference AAAI 2025 Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient CVPR 2025 COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism AAAI 2025 COUNTDOWN: Contextually Sparse Activation Filtering Out Unnecessary Weights in Down Projection EMNLP 2025 Data-Free Group-Wise Fully Quantized Winograd Convolution via Learnable Scales CVPR 2025 Decoding in Latent Spaces for Efficient Inference in LLM-based Recommendation EMNLP 2025 DiffSkip: Differential Layer Skipping in Large Language Models ACL 2025 DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing WACV 2025 DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts ACL 2025