Efficient Computing

TTE: Two Tokens Are Enough to Improve Parameter-Efficient Tuning AAAI 2025 TTFSFormer: A TTFS-based Lossless Conversion of Spiking Transformer ICML 2025 Turbo2K: Towards Ultra-Efficient and High-Quality 2K Video Synthesis ICCV 2025 TurboFill: Adapting Few-step Text-to-image Model for Fast Image Inpainting CVPR 2025 TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed KV Caches for Chunked Text EMNLP 2025 TurboTrain: Towards Efficient and Balanced Multi-Task Learning for Multi-Agent Perception and Prediction ICCV 2025 TurnBench-MS: A Benchmark for Evaluating Multi-Turn, Multi-Step Reasoning in Large Language Models EMNLP 2025 Turning Conversations into Workflows: A Framework to Extract and Evaluate Dialog Workflows for Service AI Agents ACL 2025 Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling ACL 2025 Two Sparse Matrices are Better than One: Sparsifying Neural Networks with Double Sparse Factorization ICLR 2025 Two Step Automatic Post Editing of Patent Machine Translation based on Pre-trained Encoder Models and LLMs IJCNLP 2025 Two-stream Beats One-stream: Asymmetric Siamese Network for Efficient Visual Tracking AAAI 2025 TwT: Thinking without Tokens by Habitual Reasoning Distillation with Multi-Teachers’ Guidance EMNLP 2025 UHD-processer: Unified UHD Image Restoration with Progressive Frequency Learning and Degradation-aware Prompts CVPR 2025 UIOrchestra: Generating High-Fidelity Code from UI Designs with a Multi-agent System EMNLP 2025 Ultra-High-Definition Dynamic Multi-Exposure Image Fusion via Infinite Pixel Learning AAAI 2025 Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion ICML 2025 Ultra-Resolution Adaptation with Ease ICML 2025 UNComp: Can Matrix Entropy Uncover Sparsity? — A Compressor Design from an Uncertainty-Aware Perspective EMNLP 2025 Understanding and Improving Information Preservation in Prompt Compression for LLMs EMNLP 2025 Understanding and Improving Length Generalization in Recurrent Models ICML 2025 Understanding Silent Data Corruption in LLM Training ACL 2025 Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism ICML 2025 Understanding the Unfairness in Network Quantization ICML 2025 UniBuc-SB at ArchEHR-QA 2025: A Resource-Constrained Pipeline for Relevance Classification and Grounded Answer Synthesis ACL 2025