EUNO.NEWS EUNO.NEWS
  • All (21181) +146
  • AI (3169) +10
  • DevOps (940) +5
  • Software (11185) +102
  • IT (5838) +28
  • Education (48)
  • Notice
  • All (21181) +146
    • AI (3169) +10
    • DevOps (940) +5
    • Software (11185) +102
    • IT (5838) +28
    • Education (48)
  • Notice
  • All (21181) +146
  • AI (3169) +10
  • DevOps (940) +5
  • Software (11185) +102
  • IT (5838) +28
  • Education (48)
  • Notice
Sources Tags Search
한국어 English 中文
  • 1 month ago · ai

    [Paper] Optimisation of Aircraft Maintenance Schedules

    We present an aircraft maintenance scheduling problem, which requires suitably qualified staff to be assigned to maintenance tasks on each aircraft. The tasks o...

    #research #paper #ai #machine-learning
  • 1 month ago · ai

    [Paper] CIFE: Code Instruction-Following Evaluation

    Large Language Models (LLMs) are increasingly applied to real-world code generation, where functional correctness alone is insufficient for reliable deployment,...

    #research #paper #ai #nlp
  • 1 month ago · software

    [Paper] GraphCue for SDN Configuration Code Synthesis

    We present GraphCue, a topology-grounded retrieval and agent-in-the-loop framework for automated SDN configuration. Each case is abstracted into a JSON graph an...

    #research #paper #software
  • 1 month ago · ai

    [Paper] Adaptive Graph Pruning with Sudden-Events Evaluation for Traffic Prediction using Online Semi-Decentralized ST-GNNs

    Spatio-Temporal Graph Neural Networks (ST-GNNs) are well-suited for processing high-frequency data streams from geographically distributed sensors in smart mobi...

    #research #paper #ai #machine-learning
  • 1 month ago · devops

    [Paper] Scalable Distributed Vector Search via Accuracy Preserving Index Construction

    Scaling Approximate Nearest Neighbor Search (ANNS) to billions of vectors requires distributed indexes that balance accuracy, latency, and throughput. Yet exist...

    #research #paper #devops
  • 1 month ago · ai

    [Paper] Practical Framework for Privacy-Preserving and Byzantine-robust Federated Learning

    Federated Learning (FL) allows multiple clients to collaboratively train a model without sharing their private data. However, FL is vulnerable to Byzantine atta...

    #research #paper #ai #machine-learning
  • 1 month ago · devops

    [Paper] Taming the Memory Footprint Crisis: System Design for Production Diffusion LLM Serving

    Diffusion Large Language Models (dLLMs) have emerged as a promising alternative to Autoregressive Models (ARMs), utilizing parallel decoding to overcome sequent...

    #research #paper #devops
  • 1 month ago · devops

    [Paper] Sedna: Sharding transactions in multiple concurrent proposer blockchains

    Modern blockchains increasingly adopt multi-proposer (MCP) consensus to remove single-leader bottlenecks and improve censorship resistance. However, MCP alone d...

    #research #paper #devops
  • 1 month ago · ai

    [Paper] Generative Refocusing: Flexible Defocus Control from a Single Image

    Depth-of-field control is essential in photography, but getting the perfect focus often takes several tries or special equipment. Single-image refocusing is sti...

    #research #paper #ai #computer-vision
  • 1 month ago · ai

    [Paper] The World is Your Canvas: Painting Promptable Events with Reference Images, Trajectories, and Text

    We present WorldCanvas, a framework for promptable world events that enables rich, user-directed simulation by combining text, trajectories, and reference image...

    #research #paper #ai #computer-vision
  • 1 month ago · ai

    [Paper] Next-Embedding Prediction Makes Strong Vision Learners

    Inspired by the success of generative pretraining in natural language, we ask whether the same principles can yield strong self-supervised visual learners. Inst...

    #research #paper #ai #computer-vision
  • 1 month ago · ai

    [Paper] Differences That Matter: Auditing Models for Capability Gap Discovery and Rectification

    Conventional evaluation methods for multimodal LLMs (MLLMs) lack interpretability and are often insufficient to fully disclose significant capability gaps acros...

    #research #paper #ai #machine-learning #computer-vision

Newer posts

Older posts
EUNO.NEWS
RSS GitHub © 2026