length extrapolation

SCOPE: Boosting LLM Efficiency with Scoped Position Encoding ACL 2026 VideoCoF: Unified Video Editing with Temporal Reasoner CVPR 2026 A Training-Free Length Extrapolation Approach for LLMs: Greedy Attention Logit Interpolation EMNLP 2025 Context-aware Biases for Length Extrapolation EMNLP 2025 DAPE V2: Process Attention Score as Feature Map for Length Extrapolation ACL 2025 DCIS: Efficient Length Extrapolation of LLMs via Divide-and-Conquer Scaling Factor Search EMNLP 2025 DeciMamba: Exploring the Length Extrapolation Potential of Mamba ICLR 2025 Disentangle to Decay: Linear Attention with Trainable Decay Factor COLING 2025 Forgetting Transformer: Softmax Attention with a Forget Gate ICLR 2025 Hansel: Output Length Controlling Framework for Large Language Models AAAI 2025 LongSafety: Enhance Safety for Long-Context LLMs ACL 2025 ReAttention: Training-Free Infinite Context with Finite Attention Scope ICLR 2025 Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling ICLR 2025 SWAN: An Efficient and Scalable Approach for Long-Context Language Modeling EMNLP 2025 Teaching by Failure: Counter-Example–Driven Curricula for Transformer Self-Improvement IJCNLP 2025 TokenSelect: Efficient Long-Context Inference and Length Extrapolation for LLMs via Dynamic Token-Level KV Cache Selection EMNLP 2025 Advancing Regular Language Reasoning in Linear Recurrent Neural Networks NAACL 2024 Attention Alignment and Flexible Positional Embeddings Improve Transformer Length Extrapolation NAACL 2024 CLEX: Continuous Length Extrapolation for Large Language Models ICLR 2024 DAPE: Data-Adaptive Positional Encoding for Length Extrapolation NeurIPS 2024 E2-LLM: Efficient and Extreme Length Extension of Large Language Models ACL 2024 Efficient Temporal Extrapolation of Multimodal Large Language Models with Temporal Grounding Bridge EMNLP 2024 Exploring Context Window of Large Language Models via Decomposed Positional Vectors NeurIPS 2024 Exploring Transformer Extrapolation AAAI 2024 Extending Context Window of Large Language Models from a Distributional Perspective EMNLP 2024