hypedarhypedar
feedtrendsdiscovershowcasearchive
login
login
login
FeedTrendsDiscoverShowcaseArchiveDashboard
Submit Showcase

Trending now

Security + Agents + Infrastructure60Claude + Agents40Code Generation + Agents + Inference31
View all trends →

hypedar

AI trend radar for developers. Catch emerging papers, repos, and discussions before the hype peaks.

AboutGitHubDiscord

By the makers of hypedar

Codepawl

Open-source tools for developers.

Explore our tools →
AboutPrivacyTermsX

© 2026 Codepawl

Built by Codepawl·© 2026

About·Terms·Privacy·Security

GitHub·Discord·X

feedtrendsdiscovershowcasearchive
← feed
arXiv2d ago
4.1

This Treatment Works, Right? Evaluating LLM Sensitivity to Patient Question Framing in Medical QA

Hye Sun Yun, Geetika Kapoor, Michael Mackert, Ramez Kouzy, Wei Xu, Junyi Jessy Li, Byron C. Wallace

View original ↗

Analysis

Viral velocity
low
Implementation gapYES
Novelty4/10
Categorypaper
Topics
ragevaluation

Opportunity Brief

Create an evaluation framework for medical QA systems to test prompt sensitivity. Developers can use this to benchmark their existing RAG pipelines for consistency.

Suggested repo: med-judge

"Does your medical RAG system change answers based on phrasing? Find out."

Estimated effort: 30h