AINewsnow

COMED: The Missing Middle Between Routing and Collaboration in Multi-LLM Inference

arXiv:2609.26913v1 Announce Type: new Abstract: No single Large Language Model (LLM) is uniformly reliable across queries, motivating multi-model inference systems that either route among models or combine their outputs. However, routing stops after selecting an initial model, while dense collabora…

Read the full story at arXiv cs.CL ↗

Timeline · 1 report

  1. 2026-09-24 04:00 · arXiv cs.CL
    COMED: The Missing Middle Between Routing and Collaboration in Multi-LLM Inference

More stories

  1. GPT-6 Sol and Luna now available on AI Gateway — Vercel Blog
  2. Bringing Private Processing to Meta AI Glasses — Engineering at Meta
  3. Sam Altman’s remarks at the United Nations Security Council — OpenAI News
  4. Gemini 3.8 text-to-speech models now available on AI Gateway — Vercel Blog
  5. Alibaba unveils new AI chip to challenge NVIDIA, plans Qwen models with up to 10 trillion parameters — Mint AI
  6. OpenAI Agent Hacked Australian Government Website — Wall Street Journal Technology
  7. AI Exchange — Financial Times AI
  8. How Benchling secured multi-tenant AI agents with Amazon Bedrock AgentCore — AWS Machine Learning Blog

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