Meta's New Paper Uses LLMs to Predict Research Taste for Autonomous ML Agents
Hugging Face · youtube · 2026-09-04
The Hugging Face research team discusses Meta's new paper (2608.13940) on using LLMs to predict researchers' "research taste", aiming to improve agents' ability to run machine learning experiments autonomously.
- Paper: huggingface.co/papers/2608.13940
- Format: Hugging Face Journal Club video discussion
More from Research
- Richard Socher: AI could compress a century of scientific breakthroughs into a decade — RichardSocher · 2026-10-21
- Startup Electric Plant builds an AI model to decipher plants' electrical signals — TechCrunch AI · 2026-10-21
- Claude reads the literature to build open human surfaceome atlas, claim by claim — owl_posting · 2026-10-20
- Eval researcher teases guide to subjective-task evals, with a curated resource list — cwolferesearch · 2026-10-20
- IIT Madras article splits LLM memory into five approaches and asks why belief revision is still missing — LimeOptimal539 · 2026-10-20
- Scholar writes AI-assisted book on storytelling values, work nominated for EMNLP best paper — _akpiper · 2026-10-20