layer skipping

Adaptive Compute Efficient Learning via Conceptual-Criticality (Student Abstract) AAAI 2026 AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference AAAI 2025 CLaSp: In-Context Layer Skip for Self-Speculative Decoding ACL 2025 DiffSkip: Differential Layer Skipping in Large Language Models ACL 2025 FiRST: Finetuning Router-Selective Transformers for Input-Adaptive Latency Reduction EMNLP 2025 Hopscotch: Discovering and Skipping Redundancies in Language Models EMNLP 2025 Position-Aware Depth Decay Decoding (D3): Boosting Large Language Model Inference Efficiency ACL 2025 Router-Tuning: A Simple and Effective Approach for Dynamic Depth EMNLP 2025 SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration ICLR 2025 D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models NeurIPS 2024 FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping EMNLP 2024 Multilingual Contrastive Decoding via Language-Agnostic Layers Skipping EMNLP 2024 HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient Inference EMNLP 2023 SmartBERT: A Promotion of Dynamic Early Exiting Mechanism for Accelerating BERT Inference IJCAI 2023 Stop or Forward: Dynamic Layer Skipping for Efficient Action Recognition WACV 2023 You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model CVPR 2023 SkipBERT: Efficient Inference with Shallow Layer Skipping ACL 2022 Transkimmer: Transformer Learns to Layer-wise Skim ACL 2022 Unified Visual Transformer Compression ICLR 2022 A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models AAAI 2021 Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference AAAI 2020