Efficient Computing

Distributed LLM Serving on Consumer-Grade GPUs by Reconciling Computation and Communication EMNLP 2025 Distributed Parallel Gradient Stacking(DPGS): Solving Whole Slide Image Stacking Challenge in Multi-Instance Learning ICML 2025 Distributed Speculative Inference (DSI): Speculation Parallelism for Provably Faster Lossless Language Model Inference ICLR 2025 DiTAR: Diffusion Transformer Autoregressive Modeling for Speech Generation ICML 2025 DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing WACV 2025 DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers ICCV 2025 Diversity-Enhanced Distribution Alignment for Dataset Distillation ICCV 2025 Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models AAAI 2025 Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation ACL 2025 DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models CVPR 2025 DLP: Dynamic Layerwise Pruning in Large Language Models ICML 2025 DLRG at BHASHA: Task 1 (IndicGEC): A Hybrid Neurosymbolic Approach for Tamil and Malayalam Grammatical Error Correction AACL 2025 DM-EFS: Dynamically Multiplexed Expanded Features Set Form for Robust and Efficient Small Object Detection ICCV 2025 DMM: Distributed Matrix Mechanism for Differentially-Private Federated Learning Based on Constant-Overhead Linear Secret Resharing ICML 2025 DnLUT: Ultra-Efficient Color Image Denoising via Channel-Aware Lookup Tables CVPR 2025 DocKylin: A Large Multimodal Model for Visual Document Understanding with Efficient Visual Slimming AAAI 2025 Documentation Retrieval Improves Planning Language Generation IJCNLP 2025 Do Current Video LLMs Have Strong OCR Abilities? A Preliminary Study COLING 2025 Does Acceleration Cause Hidden Instability in Vision Language Models? Uncovering Instance-Level Divergence Through a Large-Scale Empirical Study EMNLP 2025 Does One-shot Give the Best Shot? Mitigating Model Inconsistency in One-shot Federated Learning ICML 2025 Does quantization affect models’ performance on long-context tasks? EMNLP 2025 Does Spatial Cognition Emerge in Frontier Models? ICLR 2025 Does Your Vision-Language Model Get Lost in the Long Video Sampling Dilemma? ICCV 2025 DOLPHIN: A Programmable Framework for Scalable Neurosymbolic Learning ICML 2025 Domain Adapted Text Summarization with Self-Generated Guidelines EMNLP 2025