Efficient Computing

Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization EMNLP 2024 Preparing Lessons for Progressive Training on Language Models AAAI 2024 PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs ICML 2024 Principled Architecture-aware Scaling of Hyperparameters ICLR 2024 Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses ICML 2024 PrivCirNet: Efficient Private Inference via Block Circulant Transformation NeurIPS 2024 Prodigy: An Expeditiously Adaptive Parameter-Free Learner ICML 2024 ProMoAI: Process Modeling with Generative AI IJCAI 2024 PromptBench: A Unified Library for Evaluation of Large Language Models JMLR 2024 PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning EMNLP 2024 Prompt Learning with Extended Kalman Filter for Pre-trained Language Models IJCAI 2024 Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation NeurIPS 2024 Proteus: Exploring Protein Structure Generation for Enhanced Designability and Efficiency ICML 2024 ProTransformer: Robustify Transformers via Plug-and-Play Paradigm NeurIPS 2024 Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret ICML 2024 Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models ICML 2024 Pruning before Fine-tuning: A Retraining-free Compression Framework for Pre-trained Language Models COLING 2024 Pruning From Scratch via Shared Pruning Module and Nuclear Norm-Based Regularization WACV 2024 PSC: Extending Context Window of Large Language Models via Phase Shift Calibration EMNLP 2024 PTQ4DiT: Post-training Quantization for Diffusion Transformers NeurIPS 2024 PTQ4SAM: Post-Training Quantization for Segment Anything CVPR 2024 Purifying Quantization-conditioned Backdoors via Layer-wise Activation Correction with Distribution Approximation ICML 2024 PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression NeurIPS 2024 PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM Inference ACL 2024 PythonSaga: Redefining the Benchmark to Evaluate Code Generating LLMs EMNLP 2024