Efficient Computing

Can LLMs Generate High-Quality Test Cases for Algorithm Problems? TestCase-Eval: A Systematic Evaluation of Fault Coverage and Exposure ACL 2025 Can LLMs Help You at Work? A Sandbox for Evaluating LLM Agents in Enterprise Environments EMNLP 2025 Can Multimodal LLMs See Materials Clearly? A Multimodal Benchmark on Materials Characterization EMNLP 2025 Can Multi-turn Self-refined Single Agent LMs with Retrieval Solve Hard Coding Problems? ACL 2025 Canonical Rank Adaptation: An Efficient Fine-Tuning Strategy for Vision Transformers ICML 2025 Can Post-Training Quantization Benefit from an Additional QLoRA Integration? NAACL 2025 Can't Slow Me Down: Learning Robust and Hardware-Adaptive Object Detectors against Latency Attacks for Edge Devices CVPR 2025 Can We Achieve Efficient Diffusion Without Self-Attention? Distilling Self-Attention into Convolutions ICCV 2025 Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization Through Spare-Coding Transformer AAAI 2025 CaO2: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation ICCV 2025 Cape: Context-Aware Prompt Perturbation Mechanism with Differential Privacy ICML 2025 CARE Transformer: Mobile-Friendly Linear Visual Transformer via Decoupled Dual Interaction CVPR 2025 CARVQ: Corrective Adaptor with Group Residual Vector Quantization for LLM Embedding Compression EMNLP 2025 Case2Code: Scalable Synthetic Data for Code Generation COLING 2025 CASP: Compression of Large Multimodal Models Based on Attention Sparsity CVPR 2025 CAT-3DGS: A Context-Adaptive Triplane Approach to Rate-Distortion-Optimized 3DGS Compression ICLR 2025 CATANet: Efficient Content-Aware Token Aggregation for Lightweight Image Super-Resolution CVPR 2025 CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration ICML 2025 CBP-Tuning: Efficient Local Customization for Black-box Large Language Models EMNLP 2025 CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition ICML 2025 CellReplay: Towards accurate record-and-replay for cellular networks NSDI 2025 CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference ACL 2025 Certified Machine Unlearning Under High Dimensional Regime JMLR 2025 CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information COLING 2025 Chain-of-Rank: Enhancing Large Language Models for Domain-Specific RAG in Edge Device NAACL 2025