Efficient Computing

Efficient Vision Transformers via Token Merging with Head-wise Attention Correction WACV 2026 EHL*: Memory-Budgeted Indexing for Ultrafast Optimal Euclidean Pathfinding AAAI 2026 ElastoGen: 4D Generative Elastodynamics AAAI 2026 Elevating AI on the Edge: A Demonstration of MIMaaS (Machine Intelligence with Microcontroller-as-a-Service) AAAI 2026 Enhanced Recommendation Systems with Retrieval-Augmented Large Language Model (Abstract Reprint) AAAI 2026 Enhancing Automatic Speech Recognition Models for Maternal and Reproductive Health: Fine-Tuning and Real-World Evaluation in Wolof EACL 2026 Enhancing Control Policy Smoothness by Aligning Actions with Predictions from Preceding States AAAI 2026 ERank: Fusing Supervised Fine-Tuning and Reinforcement Learning for Effective and Efficient Text Reranking AAAI 2026 ESG-KG: A Multi-modal Knowledge Graph System for Automated Compliance Assessment EACL 2026 Evaluating Cost-Efficiency of LLMs in a RAG Setup on Polish Wikipedia: Quality vs. Energy Consumption EACL 2026 EVTP-IVS: Effective Visual Token Pruning For Unifying Instruction Visual Segmentation In Multi-Modal Large Language Models WACV 2026 Explore and Establish Synergistic Effects Between Weight Pruning and Coreset Selection in Neural Network Training AAAI 2026 Explore How to Inject Beneficial Noise in MLLMs AAAI 2026 Exploring Fine-Tuning for In-Context Retrieval and Efficient KV-Caching in Long-Context Language Models EACL 2026 Exploring Iterative Controllable Summarization with Large Language Models EACL 2026 ExStrucTiny: A Benchmark for Schema-Variable Structured Information Extraction from Document Images EACL 2026 FastDriveVLA: Efficient End-to-End Driving via Plug-and-Play Reconstruction-based Token Pruning AAAI 2026 FastFLUX: Pruning FLUX with Block-wise Replacement and Sandwich Training AAAI 2026 Fast Vision Mamba: Pooling Spatial Dimensions for Accelerated Processing WACV 2026 Filter, Correlate, Compress: Training-Free Token Reduction for MLLM Acceleration AAAI 2026 Fine-Tuned LLMs Know They Don’t Know: A Parameter-Efficient Approach to Recovering Honesty AAAI 2026 FIRM-MoE:Fine-GrainedExpert Decomposition for Resource-Adaptive MoE Inference AAAI 2026 First-Order Error Matters: Accurate Compensation for Quantized Large Language Models AAAI 2026 FlashKAT: Understanding and Addressing Performance Bottlenecks in the Kolmogorov-Arnold Transformer AAAI 2026 FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models AAAI 2026