Skip to content
Universidad del Mar SIBUMAR Descubridor Institucional UMAR
  • Inicio
  • Búsqueda avanzada
  • Explorar
  • Login
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
Advanced
  • EvoX: Meta-Evolution for Automated Discovery
Cover Image

EvoX: Meta-Evolution for Automated Discovery

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Liu, Shu, Agarwal, Shubham, Maheswaran, Monishwaran, Cemri, Mert, Li, Zhifei, Mang, Qiuyang, Naren, Ashwin, Boneh, Ethan, Cheng, Audrey, Pan, Melissa Z., Du, Alexander, Keutzer, Kurt, Cheung, Alvin, Dimakis, Alexandros G., Sen, Koushik, Zaharia, Matei, Stoica, Ion
Format: Preprint
Published: 2026
Subjects:
Machine Learning
Computation and Language
Neural and Evolutionary Computing
Online Access:
Acceder al recurso
Tags: Add Tag
No Tags, Be the first to tag this record!
  • Cite this
  • Text this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Save to List
  • Permanent link
  • Holdings
  • Description
  • Comments
  • Similar Items
  • Staff View

Internet

https://arxiv.org/abs/2602.23413

Similar Items

  • AdaEvolve: Adaptive LLM Driven Zeroth-Order Optimization
    by: Cemri, Mert, et al.
    Published: (2026)
  • The Time is Here for Just-in-Time Systems: Challenges and Opportunities
    by: Liu, Shu, et al.
    Published: (2026)
  • SIEVE: Sample-Efficient Parametric Learning from Natural Language
    by: Asawa, Parth, et al.
    Published: (2026)
  • SVG-EAR: Parameter-Free Linear Compensation for Sparse Video Generation via Error-aware Routing
    by: Zhou, Xuanyi, et al.
    Published: (2026)
  • Let the Barbarians In: How AI Can Accelerate Systems Performance Research
    by: Cheng, Audrey, et al.
    Published: (2025)
Universidad del Mar
Universidad del MarSistema Bibliotecario de la Universidad del MarDescubridor Institucional UMARImplementación y desarrollo: Mtro. Carlos Alonso Albores Pérez
InicioBúsqueda avanzadaExplorar
Visitas al Descubridor: 33,245© 2026 Universidad del Mar