Efficient Computing

AdaV: Adaptive Text-visual Redirection for Vision-Language Models ACL 2025 Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm EMNLP 2025 ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate Model AAAI 2025 Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough? ICML 2025 AdTEC: A Unified Benchmark for Evaluating Text Quality in Search Engine Advertising NAACL 2025 Advancing Spiking Neural Networks Towards Multiscale Spatiotemporal Interaction Learning AAAI 2025 Adventurer: Optimizing Vision Mamba Architecture Designs for Efficiency CVPR 2025 Adversarial Inputs for Linear Algebra Backends ICML 2025 A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Attention Networks ICML 2025 Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks ICML 2025 AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration ACL 2025 AgentStore: Scalable Integration of Heterogeneous Agents As Specialized Generalist Computer Assistant ACL 2025 AHCPTQ: Accurate and Hardware-Compatible Post-Training Quantization for Segment Anything Model ICCV 2025 A High-Efficiency Federated Learning Method Using Complementary Pruning for D2D Communication (Student Abstract) AAAI 2025 A Hitchhiker’s Guide to Scaling Law Estimation ICML 2025 AI2Agent: An End-to-End Framework for Deploying AI Projects as Autonomous Agents ACL 2025 AI for Data Ingestion into IPAC Archives AACL 2025 AIM: Let Any Multimodal Large Language Models Embrace Efficient In-Context Learning AAAI 2025 AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers AAAI 2025 AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark ACL 2025 AIRepr: An Analyst-Inspector Framework for Evaluating Reproducibility of LLMs in Data Science EMNLP 2025 AirRAG: Autonomous Strategic Planning and Reasoning Steer Retrieval Augmented Generation EMNLP 2025 Align Attention Heads Before Merging Them: An Effective Way for Converting MHA to GQA EMNLP 2025 Aligning Retrieval with Reader Needs: Reader-Centered Passage Selection for Open-Domain Question Answering COLING 2025 Align-KD: Distilling Cross-Modal Alignment Knowledge for Mobile Vision-Language Large Model Enhancement CVPR 2025