global attention

AVGGT: Rethinking Global Attention for Accelerating VGGT CVPR 2026 Block-Sparse Global Attention for Efficient Multi-View Geometry Transformers CVPR 2026 Vision Transformers Need More Than Registers CVPR 2026 Enhancing Zero-shot Object Counting via Text-guided Local Ranking and Number-evoked Global Attention ICCV 2025 Hierarchical Long-Document Summarization using LED for Legal Judgments AACL 2025 PanoDiT: Panoramic Videos Generation with Diffusion Transformer AAAI 2025 RTdetector: Deep Transformer Networks for Time Series Anomaly Detection Based on Reconstruction Trend IJCAI 2025 Star Attention: Efficient LLM Inference over Long Sequences ICML 2025 Are More Layers Beneficial to Graph Transformers? ICLR 2023 Full Contextual Attention for Multi-Resolution Transformers in Semantic Segmentation WACV 2023 SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations NeurIPS 2023 Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns ACL 2022 LED down the rabbit hole: exploring the potential of global attention for biomedical multi-document summarisation COLING 2022 Recipe for a General, Powerful, Scalable Graph Transformer NeurIPS 2022 Geometry-Free View Synthesis: Transformers and No 3D Priors ICCV 2021 LMML at SemEval-2020 Task 7: Siamese Transformers for Rating Humor in Edited News Headlines SemEval 2020 Relation-Aware Global Attention for Person Re-Identification CVPR 2020 An Analysis of Local Monotonic Attention Variants Interspeech 2019 Enhancing Dialogue Symptom Diagnosis with Global Attention and Symptom Graph EMNLP 2019 Improving Textual Network Embedding with Global Attention via Optimal Transport ACL 2019 MirrorGAN: Learning Text-To-Image Generation by Redescription CVPR 2019 Mixed Multi-Head Self-Attention for Neural Machine Translation EMNLP 2019 Temporal Attentive Pooling for Acoustic Event Detection Interspeech 2018