Efficient Computing

xFinder: Large Language Models as Automated Evaluators for Reliable Evaluation ICLR 2025 X-LeBench: A Benchmark for Extremely Long Egocentric Video Understanding EMNLP 2025 xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference ICML 2025 XSched: Preemptive Scheduling for Diverse XPUs OSDI 2025 YOLO-RD: Introducing Relevant and Compact Explicit Knowledge to YOLO by Retriever-Dictionary ICLR 2025 You Only Prune Once: Designing Calibration-Free Model Compression With Policy Learning ICLR 2025 ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think ICML 2025 ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping CVPR 2025 Zero-shot Quantization: A Comprehensive Survey IJCAI 2025 Zeroth-Order Fine-Tuning of LLMs in Random Subspaces ICCV 2025 zFLoRA: Zero-Latency Fused Low-Rank Adapters EMNLP 2025 ZigZagKV: Dynamic KV Cache Compression for Long-context Modeling based on Layer Uncertainty COLING 2025 ZipAR: Parallel Autoregressive Image Generation through Spatial Locality ICML 2025 ZooProbe: A Data Engine for Evaluating, Exploring, and Evolving Large-scale Training Data for Multimodal LLMs ICLR 2025 Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design NeurIPS 2024 dattri: A Library for Efficient Data Attribution NeurIPS 2024 1-Lipschitz Layers Compared: Memory Speed and Certifiable Robustness CVPR 2024 2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution NeurIPS 2024 3D-FuM: Benchmarking 3D Molecule Learning with Functional Groups IJCAI 2024 4-bit Shampoo for Memory-Efficient Network Training NeurIPS 2024 A2Q+: Improving Accumulator-Aware Weight Quantization ICML 2024 AAMDM: Accelerated Auto-regressive Motion Diffusion Model CVPR 2024 A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural Network CVPR 2024 Accelerating Augmentation Invariance Pretraining NeurIPS 2024 Accelerating Blockwise Parallel Language Models with Draft Refinement NeurIPS 2024