AINewsnow

Linkup Research Releases SPARSEUP: A 149M-Parameter Open-Source Sparse Embedding Model

This story is from 2026-09-19. It is preserved in the archive; the latest stories are on the live feed.

Linkup just open-sourced SPARSEUP, a 149M sparse embedding model scoring 56.4 on BEIR-13. It is a SPLADE-style retriever that outputs readable token weights, not an opaque dense vector. It fills the sparse slot next to LightOn's DenseOn and LateOn, trained on the same open data. ✅ Apache 2.0, weigh…

Read the full story at r/machinelearningnews ↗

Timeline · 1 report

  1. 2026-09-19 08:00 · r/machinelearningnews
    Linkup Research Releases SPARSEUP: A 149M-Parameter Open-Source Sparse Embedding Model

More stories

  1. Trump announces a new 'AI Force,' but says he will not 'stifle' AI — Business Insider AI
  2. Introducing Kimi K3 on Amazon Bedrock — AWS Machine Learning Blog
  3. Introducing Amazon SageMaker HyperPod Inference Gateway — AWS Machine Learning Blog
  4. Anthropic, OpenAI, SpaceXAI, Google sued over call to ‘pace’ AI development — Politico Technology
  5. Google's Gemini AI hacks three other companies during security test — Sky News Technology
  6. Gemini Hacked Three Companies in First Known Breakout by Google’s AI — Wall Street Journal Technology
  7. OpenAI reveals cases of ‘concerning’ AI behaviour as it announces new disclosure system — The Guardian AI
  8. AI's role in building AI surging? Anthropic says Claude now leads 26% of its R&D — Mint AI

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