Application Areas

BlockDance: Reuse Structurally Similar Spatio-Temporal Features to Accelerate Diffusion Transformers CVPR 2025 BlockDialect: Block-wise Fine-grained Mixed Format Quantization for Energy-Efficient LLM Inference ICML 2025 BlockPruner: Fine-grained Pruning for Large Language Models ACL 2025 Block Verification Accelerates Speculative Decoding ICLR 2025 Blood Flow Speed Estimation with Optical Coherence Tomography Angiography Images CVPR 2025 BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices CVPR 2025 BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks ICLR 2025 bnContextQA: Benchmarking Long-Context Question Answering and Challenges in Bangla AACL 2025 BoA: Attention-aware Post-training Quantization without Backpropagation ICML 2025 Boltzmann Attention Sampling for Image Analysis with Small Objects CVPR 2025 Boltzmann Semantic Score: A Semantic Metric for Evaluating Large Vision Models Using Large Language Models ICLR 2025 BOND: Aligning LLMs with Best-of-N Distillation ICLR 2025 Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation ACL 2025 Boost-and-Skip: A Simple Guidance-Free Diffusion for Minority Generation ICML 2025 Boost Embodied AI Models with Robust Compression Boundary IJCAI 2025 Boosting Class Representation via Semantically Related Instances for Robust Long-Tailed Learning with Noisy Labels ICCV 2025 Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability ICCV 2025 Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need CVPR 2025 Boosting Long-Context Information Seeking via Query-Guided Activation Refilling ACL 2025 Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference AAAI 2025 Boosting Multiple Views for pretrained-based Continual Learning ICLR 2025 Boosting Sentiment Analysis in Persian through a GAN-Based Synthetic Data Augmentation Method COLING 2025 Boosting Test Performance with Importance Sampling--a Subpopulation Perspective AAAI 2025 Boosting the Capabilities of Compact Models in Low-Data Contexts with Large Language Models and Retrieval-Augmented Generation COLING 2025 Boosting Virtual Agent Learning and Reasoning: A Step-Wise, Multi-Dimensional, and Generalist Reward Model with Benchmark ICML 2025