hypedarhypedar
feedtrendsdiscovershowcasearchive
login
login
login
FeedTrendsDiscoverShowcaseArchiveDashboard
Submit Showcase

Trending now

Inference + Agents + Llm67Math + Games56Security + Watermarking45
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
arXiv9h ago
4.8

Experiments or Outcomes? Probing Scientific Feasibility in Large Language Models

Seyedali Mohammadi, Manas Gaur, Francis Ferraro

View original ↗

Analysis

Viral velocity
low
Implementation gapYES
Novelty6/10
Categorypaper
Topics
reasoningscienceevaluationllm

Opportunity Brief

Create an evaluation tool that probes scientific feasibility of LLM outputs by comparing generated claims against established knowledge repositories. Developers need a way to verify scientific reasoning consistency.

Suggested repo: sci-probe

"Verify if your AI is making actual science or just science fiction."

Estimated effort: 60h