Efficient Computing

Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding ICML 2025 Learning to (Learn at Test Time): RNNs with Expressive Hidden States ICML 2025 Learning to Quantize for Training Vector-Quantized Networks ICML 2025 Learning What to Remember: Adaptive Probabilistic Memory Retention for Memory-Efficient Language Models EMNLP 2025 Learning with Exact Invariances in Polynomial Time ICML 2025 Learning without Isolation: Pathway Protection for Continual Learning ICML 2025 LECTURE4ALL: A Lightweight Approach to Precise Timestamp Detection in Online Lecture Videos ACL 2025 Lego Sketch: A Scalable Memory-augmented Neural Network for Sketching Data Streams ICML 2025 LEO-MINI: An Efficient Multimodal Large Language Model using Conditional Token Reduction and Mixture of Multi-Modal Experts EMNLP 2025 Less is More: A Simple yet Effective Token Reduction Method for Efficient Multi-modal LLMs COLING 2025 Less is More: Efficient Model Merging with Binary Task Switch CVPR 2025 Less is More: Explainable and Efficient ICD Code Prediction with Clinical Entities ACL 2025 Let LLM Tell What to Prune and How Much to Prune ICML 2025 Let’s Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model COLING 2025 Let’s Group: A Plug-and-Play SubGraph Learning Method for Memory-Efficient Spatio-Temporal Graph Modeling IJCAI 2025 Leveraging Attention to Effectively Compress Prompts for Long-Context LLMs AAAI 2025 Leveraging Computer Vision and Visual LLMs for Cost-Effective and Consistent Street Food Safety Assessment in Kolkata India AAAI 2025 Leveraging Large Pre-trained Multilingual Models for High-Quality Speech-to-Text Translation on Industry Scenarios COLING 2025 Leveraging Randomness in Model and Data Partitioning for Privacy Amplification ICML 2025 Leveraging Sparsity for Sample-Efficient Preference Learning: A Theoretical Perspective ICML 2025 Lexico: Extreme KV Cache Compression via Sparse Coding over Universal Dictionaries ICML 2025 Libra-Merging: Importance-redundancy and Pruning-merging Trade-off for Acceleration Plug-in in Large Vision-Language Model CVPR 2025 Lifting the Veil on Visual Information Flow in MLLMs: Unlocking Pathways to Faster Inference CVPR 2025 Liger: Linearizing Large Language Models to Gated Recurrent Structures ICML 2025 LightGTS: A Lightweight General Time Series Forecasting Model ICML 2025