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Efficient Computing

6876 directly classified papers

Papers per year

Papers

SOLAR: Switchable Output Layer for Accuracy and Robustness in Once-for-All Training WACV 2026

Zero-Shot Coreset Selection via Iterative Subspace Sampling WACV 2026

Gaussian Representations for Video WACV 2026

MaxInfo: A Training-Free Key-Frame Selection Method Using Maximum Volume for Enhanced Video Understanding WACV 2026

Improvise, Adapt, Overcome -- Telescopic Adapters for Efficient Fine-tuning of Vision Language Models in Medical Imaging WACV 2026

Delta-LLaVA: Base-then-Specialize Alignment for Token-Efficient Vision-Language Models WACV 2026

AFRAgent : An Adaptive Feature Renormalization Based High Resolution Aware GUI agent WACV 2026

A Fast, Simple, and Flexible Scale Informative Feature Transform Module for Arbitrary Scale Image Super-Resolution WACV 2026

Joint Optimization of Camera Model and Deep Neural Network for Image Recognition WACV 2026

How Quantization Shapes Bias in Large Language Models EACL 2026

PromptFE: Automated Feature Engineering by Prompting EACL 2026

Is This LLM Library Learning? Evaluation Must Account For Compute and Behaviour EACL 2026

Too Many Frames, Not All Useful: Efficient Strategies for Long-Form Video QA EACL 2026

MetaLead: A Comprehensive Human-Curated Leaderboard Dataset for Transparent Reporting of Machine Learning Experiments EACL 2026

GAST: Gradient-aligned Sparse Tuning of Large Language Models with Data-layer Selection EACL 2026

CacheNotes: Task-Aware Key-Value Cache Compression for Reasoning-Intensive Knowledge Tasks EACL 2026

DeepInsert: Early Layer Bypass for Efficient and Performant Multimodal Understanding EACL 2026

Over-Searching in Search-Augmented Large Language Models EACL 2026

Logic Haystacks: Probing LLMs’ Long-Context Logical Reasoning (Without Easily Identifiable Unrelated Padding) EACL 2026

ESG-KG: A Multi-modal Knowledge Graph System for Automated Compliance Assessment EACL 2026

Comparing Text Compression Capabilities of Large Language Models with Traditional Compression Algorithms EACL 2026

Iterative Structured Pruning for Large Language Models with Multi-Domain Calibration EACL 2026

Compact Multimodal Language Models as Robust OCR Alternatives for Noisy Textual Clinical Reports EACL 2026

Exploring Iterative Controllable Summarization with Large Language Models EACL 2026

Scalable and Efficient Large-Scale Log Analysis with LLMs: An IT Software Support Case Study AAAI 2026