token reduction

Adaptive Inference for Medical Vision Transformers: Token Reduction or Early Exit? MIDL 2026 CoIn: Coverage and Informativeness-Guided Token Reduction for Efficient Large Multimodal Models CVPR 2026 Critical Patch-Aware Sparse Prompting with Decoupled Training for Continual Learning on the Edge CVPR 2026 Efficient Reasoning for Large Reasoning Language Models via Certainty-Guided Reflection Suppression AAAI 2026 EM-KD: Distilling Efficient Multimodal Large Language Model with Unbalanced Vision Tokens AAAI 2026 End-to-End Hyper-Relational Information Extraction for Engineering Diagrams via Dynamically Tokenized Relation Transformer CVPR 2026 Filter, Correlate, Compress: Training-Free Token Reduction for MLLM Acceleration AAAI 2026 Generative Video Compression with One-Dimensional Latent Representation CVPR 2026 HCC-3D: Hierarchical Compensatory Compression for 98% 3D Token Reduction in Vision-Language Models AAAI 2026 Instruction-Guided Cross-Modal Clustering for Training-Free Visual Token Pruning in Vision-Language Models AAAI 2026 LLMC+: Benchmarking Vision-Language Model Compression with a plug-and-play Toolkit AAAI 2026 Merlin’s Whisper: Enabling Efficient Reasoning in Large Language Models via Black-box Persuasive Prompting ACL 2026 ResCa: Residual Caching for Diffusion Transformers Acceleration CVPR 2026 Rethinking Token Reduction for Large Vision-Language Models CVPR 2026 Rethinking Visual Token Reduction in LVLMs Under Cross-Modal Misalignment AAAI 2026 SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication AAAI 2026 Think Hard Only When Needed: A Hybrid Best-of-N and Beam Search for Efficient Test-Time Compute EACL 2026 Token Reduction via Local and Global Contexts Optimization for Efficient Video Large Language Models CVPR 2026 Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction CVPR 2025 Answer Convergence as a Signal for Early Stopping in Reasoning EMNLP 2025 Conical Visual Concentration for Efficient Large Vision-Language Models CVPR 2025 CoT-Valve: Length-Compressible Chain-of-Thought Tuning ACL 2025 D-CoDe: Scaling Image-Pretrained VLMs to Video via Dynamic Compression and Question Decomposition EMNLP 2025 DocVLM: Make Your VLM an Efficient Reader CVPR 2025 Does Acceleration Cause Hidden Instability in Vision Language Models? Uncovering Instance-Level Divergence Through a Large-Scale Empirical Study EMNLP 2025