attention distribution

D2 Prune: Sparsifying Large Language Models via Dual Taylor Expansion and Attention Distribution Awareness AAAI 2026 Enhancing Retrieval-Augmented Large Vision Language Models via Knowledge Conflict Mitigation AAAI 2026 Question Tells You Where the Answer Is: Intention-aware Long-Context KV Cache Compression ACL 2026 REFO: Reinforced Evolutionary Faithfulness Optimization for Large Language Models AAAI 2026 Components of Creativity: Language Model-based Predictors for Clustering and Switching in Verbal Fluency CoNLL 2025 Dually Self-Improved Counterfactual Data Augmentation Using Large Language Model ACL 2025 Feint and Attack: Jailbreaking and Protecting LLMs via Attention Distribution Modeling IJCAI 2025 RULEBREAKERS: Challenging LLMs at the Crossroads between Formal Logic and Human-like Reasoning ICML 2025 SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term Forecasting IJCAI 2024 Syntactic Substitutability as Unsupervised Dependency Syntax EMNLP 2023 Unnatural language processing: How do language models handle machine-generated prompts? EMNLP 2023 Self-supervised Models are Good Teaching Assistants for Vision Transformers ICML 2022 Uncertainty-Guided Probabilistic Transformer for Complex Action Recognition CVPR 2022 An Empirical Study on Adversarial Attack on NMT: Languages and Positions Matter ACL 2021 Global-aware Beam Search for Neural Abstractive Summarization NeurIPS 2021 Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation AAAI 2021 Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting ICCV 2021 Linear Context Transform Block AAAI 2020 Towards Transparent and Explainable Attention Models ACL 2020 Posterior Attention Models for Sequence to Sequence Learning ICLR 2019 Context-Aware Neural Machine Translation Learns Anaphora Resolution ACL 2018 Modeling Localness for Self-Attention Networks EMNLP 2018