refine
refine.ink · 738 words · saved by 2 readers
Refine helps researchers analyze papers, collaborate with teams, and streamline their research workflow with AI-powered tools.
Refine - AI-Powered Research Assistant Skip to main content AI-Powered Peer Review AI-powered feedback trusted by world-class researchers Refine devotes hours of compute to help you find and fix the issues that matter most to readers and reviewers. Preview for free No credit card required View examples Feedback Panel Accuracy Empirical specification description " We use the inverse of the propensity scores as weights. " For ATT, control units should be weighted by ω i / (1 - ω i ), not 1 / ω i , where ω i is the propensity score of unit i. Suggestions: if the nonstandard weights are appropriat
saved by
related reading
- Reflect Notesreflect.app
- Automated Weak-to-Strong Researcheralignment.anthropic.com
- Tips for Empirical Alignment Research — AI Alignment Forumalignmentforum.org
- Elicit: AI for scientific researchelicit.org
- Elicit: AI for scientific researchelicit.com
- Modifying LLM Beliefs with Synthetic Document Finetuningalignment.anthropic.com
- Explore | alphaXivalphaxiv.org
- Oversight Assistants: Turning Compute into Understandingbounded-regret.ghost.io
- GitHub - assafelovic/gpt-researcher: An autonomous agent that conducts deep research on any data using any LLM providersgithub.com
- Rewind.ai - Every AI Tool, Completely Freerewind.ai
- [2606.28277] Towards Automating Scientific Review with Google's Paper Assistant Toolarxiv.org
- Anara | AI Research Assistant with Source Citationsunriddle.ai