hypedarhypedar
feedtrendsdiscovershowcasearchive
login
login
login
FeedTrendsDiscoverShowcaseArchiveDashboard
Submit Showcase

Trending now

Inference + Agents + Llm67Llm + Rl + Training66Math + Games56
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
5.0

Measuring Representation Robustness in Large Language Models for Geometry

Vedant Jawandhia, Yash Sinha, Murari Mandal, Ankan Pal, Dhruv Kumar

View original ↗

Analysis

Viral velocity
low
Implementation gapYES
Novelty7/10
Categorypaper
Topics
reasoningevaluationgeometry

Opportunity Brief

Develop a robustness benchmark tool that tests if an LLM solves math problems regardless of how the problem is expressed. This will expose fragility in current reasoning benchmarks.

Suggested repo: georep-eval

"Is your math model reasoning, or just pattern matching?"

Estimated effort: 35h