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Found 8 papers, 1 papers with code
Original Content Is All You Need! an Empirical Study on Leveraging Answer Summary for WikiHowQA Answer Selection Task
And their experiments show that leveraging the answer summaries helps to attend the essential information in original lengthy answers and improve the answer selection performance under certain circumstances.
Fuzzy Information Entropy and Region Biased Matrix Factorization for Web Service QoS Prediction
Simultaneously, it integrates the region bias between each user and service linearly into matrix factorization to capture the non-interactive features between users and services.
RAHN: A Reputation Based Hourglass Network for Web Service QoS Prediction
Considering the excellent role of reputation and deep learning (DL) techniques in the field of QoS prediction, we propose a reputation and DL based QoS prediction network, RAHN, which contains the Reputation Calculation Module (RCM), the Latent Feature Extraction Module (LFEM), and the QoS Prediction Hourglass Network (QPHN).
InstInfer: In-Storage Attention Offloading for Cost-Effective Long-Context LLM Inference
Several cost-effective solutions leverage host memory or SSDs to reduce storage costs for offline inference scenarios and improve the throughput.
Characterization of Large Language Model Development in the Datacenter
Large Language Models (LLMs) have presented impressive performance across several transformative tasks.
Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision
Deep learning (DL) shows its prosperity in a wide variety of fields.
Exploring General Intelligence of Program Analysis for Multiple Tasks
To this end, we explore a generic program embedding approach that aim at solving multiple program analysis tasks.
GRAPHSPY: Fused Program Semantic-Level Embedding via Graph Neural Networks for Dead Store Detection
To this end, we propose a learning-aided approach to identify unnecessary memory operations intelligently with low overhead.
