AINewsnow

Beyond Scalar Leaderboards: Adaptive Sampling for Pareto Frontier Identification in Multi-Objective LLM Arenas

arXiv:2610.27447v1 Announce Type: new Abstract: The evaluation of large language models (LLMs) is inherently multi-objective, as different models may offer different tradeoffs across performance dimensions such as math, code, and writing. Because such evaluations are often based on costly and time-…

Read the full story at arXiv stat.ML ↗

Timeline · 1 report

  1. 2026-10-21 04:00 · arXiv stat.ML
    Beyond Scalar Leaderboards: Adaptive Sampling for Pareto Frontier Identification in Multi-Objective LLM Arenas

More stories

  1. DeepSeek V4.1 Flash is now available in Token Pass — Vercel Blog
  2. OpenAI acquires Orchestra Bio to expand AI in drug development — OpenAI News
  3. US bans DeepSeek AI from government systems: What the official notice says about ‘transfer of sensitive data’ to China — Mint AI
  4. Southeast Asia’s digital economy to hit $368 billion — Google AI Blog
  5. Deepseek released DeepInfer - Open Source high-performance, large-scale inference framework for DeepSeek models! — r/LocalLLaMA
  6. Gemini on Android Auto can access my photos, emails, and calendar now – why I’m OK with that (mostly) — ZDNET AI
  7. Otter AI raises $320M from General Catalyst's growth fund for its meeting tool — TechCrunch AI
  8. Run Agentic Workloads Safely at Scale with CoreWeave Sandboxes — CoreWeave Blog

Get the daily brief of stories like this at 6:30 every morning →