CARF: Context-Aware Reasoning Supervision for Scientific Evidence Screening
arXiv:2610.38041v1 Announce Type: new Abstract: Systematic reviews synthesize biomedical evidence to inform clinical and public-health decision-making, but require domain experts to manually screen thousands of studies against detailed eligibility criteria. We investigate whether language models ca…
Read the full story at arXiv cs.CL ↗
Timeline · 1 report
- 2026-10-30 04:00 · arXiv cs.CL
CARF: Context-Aware Reasoning Supervision for Scientific Evidence Screening
More stories
- 8 examples of Gemini 4 Argon in action — Google Gemini Blog
- Welcome Le Chonk: Mistral Large 4 on Hugging Face — Hugging Face Blog
- How a wave of startups are betting on AI to make formal software verification practical and essential, including &Truth, which launches with a $70M seed — Techmeme
- Meta quietly launches an AI fashion app called Style Sketch — TechCrunch AI
- You can now generate, preview, and edit documents, PDFs, presentations, spreadsheets, and more directly in Gemini. — Google Gemini Blog
- ChatGPT Enterprise at Zendesk: Putting Company Data to Work — OpenAI YouTube
- Grey-Market Relay Turns Off Codex and Claude Code Sandboxes — DailyAI
- Here is my submission for ComfyUI’s Open Source Higgsfield challenge: Openjutsu, one-click character swap for videos, fully local using Minimax H3 only — r/StableDiffusion
Get the daily brief of stories like this at 6:30 every morning →