Efficient Computing

Constrained Decoding with Speculative Lookaheads NAACL 2025 Consultant Decoding: Yet Another Synergistic Mechanism ACL 2025 Context Guided Transformer Entropy Modeling for Video Compression ICCV 2025 Context Length Alone Hurts LLM Performance Despite Perfect Retrieval EMNLP 2025 Context Minimization for Resource-Constrained Text Classification: Optimizing Performance-Efficiency Trade-offs through Linguistic Features EMNLP 2025 Continual Quantization-Aware Pre-Training: When to transition from 16-bit to 1.58-bit pre-training for BitNet language models? ACL 2025 ContraGS: Codebook-Condensed and Trainable Gaussian Splatting for Fast, Memory-Efficient Reconstruction ICCV 2025 Controlled Retrieval-augmented Context Evaluation for Long-form RAG EMNLP 2025 Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers EMNLP 2025 ConvMixFormer- A Resource-Efficient Convolution Mixer for Transformer-Based Dynamic Hand Gesture Recognition WACV 2025 CopySpec: Accelerating LLMs with Speculative Copy-and-Paste EMNLP 2025 CoRanking: Collaborative Ranking with Small and Large Ranking Agents EMNLP 2025 Core Context Aware Transformers for Long Context Language Modeling ICML 2025 CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models ICML 2025 CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking ICLR 2025 COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism AAAI 2025 Cost-Effective On-Device Sequential Recommendation with Spiking Neural Networks IJCAI 2025 Cost-efficient Collaboration between On-device and Cloud Language Models ICML 2025 Cost-Optimal Grouped-Query Attention for Long-Context Modeling EMNLP 2025 CoTFormer: A Chain of Thought Driven Architecture with Budget-Adaptive Computation Cost at Inference ICLR 2025 COUNTDOWN: Contextually Sparse Activation Filtering Out Unnecessary Weights in Down Projection EMNLP 2025 Counting-Stars: A Multi-evidence, Position-aware, and Scalable Benchmark for Evaluating Long-Context Large Language Models COLING 2025 CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems ACL 2025 Cover learning for large-scale topology representation ICML 2025 CoViPAL: Layer-wise Contextualized Visual Token Pruning for Large Vision-Language Models EMNLP 2025