Efficient Computing

Golden Cudgel Network for Real-Time Semantic Segmentation CVPR 2025 GPU-Disaggregated Serving for Deep Learning Recommendation Models at Scale NSDI 2025 GQSA: Group Quantization and Sparsity for Accelerating Large Language Model Inference IJCNLP 2025 Gradient Weight-normalized Low-rank Projection for Efficient LLM Training AAAI 2025 Grading Massive Open Online Courses Using Large Language Models COLING 2025 GradQ-ViT: Robust and Efficient Gradient Quantization for Vision Transformers AAAI 2025 Grammar Pruning: Enabling Low-Latency Zero-Shot Task-Oriented Language Models for Edge AI EMNLP 2025 GRANNY: Granular Management of Compute-Intensive Applications in the Cloud NSDI 2025 Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training AAAI 2025 GraphKV: Breaking the Static Selection Paradigm with Graph-Based KV Cache Eviction EMNLP 2025 Graph Neural Network Combining Event Stream and Periodic Aggregation for Low-Latency Event-based Vision CVPR 2025 Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems ICLR 2025 GRASP: Replace Redundant Layers with Adaptive Singular Parameters for Efficient Model Compression EMNLP 2025 GREEN: Carbon-efficient Resource Scheduling for Machine Learning Clusters NSDI 2025 Green Topics, Deep Roots: Energy-Aware Topic Modelling of Multilingual Nigerian Lyrics NeurIPS 2025 GRIT: Guided Relational Integration for Efficient Multi-Table Understanding EMNLP 2025 Grouped Sequency-arranged Rotation: Optimizing Rotation Transformation for Quantization for Free ACL 2025 GSM-$∞$: How Do your LLMs Behave over Infinitely Increasing Reasoning Complexity and Context Length? ICML 2025 gsplat: An Open-Source Library for Gaussian Splatting JMLR 2025 GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training for LLMs On-Device Fine-tuning ACL 2025 Guaranteed Guess: A Language Modeling Approach for CISC-to-RISC Transpilation with Testing Guarantees EMNLP 2025 GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance ICML 2025 Gumiho: A Hybrid Architecture to Prioritize Early Tokens in Speculative Decoding ICML 2025 Habitizing Diffusion Planning for Efficient and Effective Decision Making ICML 2025 HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated Learning AAAI 2025