Efficient Computing

Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction AAAI 2025 Fast and Low-Cost Genomic Foundation Models via Outlier Removal ICML 2025 FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks ICML 2025 FastDraft: How to Train Your Draft ACL 2025 FAST: Efficient Action Tokenization for Vision-Language-Action Models RSS 2025 Faster and Better LLMs via Latency-Aware Test-Time Scaling EMNLP 2025 Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation ICML 2025 FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality ICLR 2025 Faster Cascades via Speculative Decoding ICLR 2025 Faster Speculative Decoding via Effective Draft Decoder with Pruned Candidate Tree ACL 2025 Faster Stochastic Optimization with Arbitrary Delays via Adaptive Asynchronous Mini-Batching ICML 2025 Fast Exact Unlearning for In-Context Learning Data for LLMs ICML 2025 Fast Inference with Kronecker-Sparse Matrices ICML 2025 Fast Large Language Model Collaborative Decoding via Speculation ICML 2025 Fast Video Generation with Sliding Tile Attention ICML 2025 FastVLM: Efficient Vision Encoding for Vision Language Models CVPR 2025 FastVLM: Self-Speculative Decoding for Fast Vision-Language Model Inference IJCNLP 2025 Fathom: A Fast and Modular RAG Pipeline for Fact-Checking ACL 2025 FBQuant: FeedBack Quantization for Large Language Models IJCAI 2025 FBRT-YOLO: Faster and Better for Real-Time Aerial Image Detection AAAI 2025 FEA-Bench: A Benchmark for Evaluating Repository-Level Code Generation for Feature Implementation ACL 2025 Feature Coding in the Era of Large Models: Dataset, Test Conditions, and Benchmark ICCV 2025 FedCS: Coreset Selection for Federated Learning CVPR 2025 Federated Data-Efficient Instruction Tuning for Large Language Models ACL 2025 Federated Learning with Heterogeneous LLMs: Integrating Small Student Client Models with a Large Hungry Model AAAI 2025