perplexity

An Interpretable N-gram Perplexity Threat Model for Large Language Model Jailbreaks ICML 2025 Cache Me If You Must: Adaptive Key-Value Quantization for Large Language Models ICML 2025 DeepCrossAttention: Supercharging Transformer Residual Connections ICML 2025 Deliberation in Latent Space via Differentiable Cache Augmentation ICML 2025 Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective ICML 2025 DLP: Dynamic Layerwise Pruning in Large Language Models ICML 2025 GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models ICML 2025 Learning to (Learn at Test Time): RNNs with Expressive Hidden States ICML 2025 LongRoPE2: Near-Lossless LLM Context Window Scaling ICML 2025 SKIM: Any-bit Quantization Pushing The Limits of Post-Training Quantization ICML 2025 SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models ICML 2025 Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks ICML 2025 STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs ICLR 2025 SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training ICML 2025 Synthetic Text Generation for Training Large Language Models via Gradient Matching ICML 2025 Targeted Low-rank Refinement: Enhancing Sparse Language Models with Precision ICML 2025 Adaptive Text Watermark for Large Language Models ICML 2024 BiLLM: Pushing the Limit of Post-Training Quantization for LLMs ICML 2024 Copyright Traps for Large Language Models ICML 2024 Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution ICML 2024 DOGE: Domain Reweighting with Generalization Estimation ICML 2024 Gated Linear Attention Transformers with Hardware-Efficient Training ICML 2024 In-Context Language Learning: Architectures and Algorithms ICML 2024 LASER: Linear Compression in Wireless Distributed Optimization ICML 2024 Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity ICML 2024