hypedarhypedar
feedtrendsdiscovershowcasearchive
login
login
login
FeedTrendsDiscoverShowcaseArchiveDashboard
Submit Showcase

Trending now

Ethics + Sociology49Audio + Real Time39Quantization + Inference + Llm38
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
arXiv1d ago
4.6

Just Pass Twice: Efficient Token Classification with LLMs for Zero-Shot NER

Ahmed Ewais, Ahmed Hashish, Amr Ali

View original ↗

Analysis

Viral velocity
low
Implementation gapYES
Novelty6/10
Categorypaper
Topics
inferenceneroptimization

Opportunity Brief

Implement a bidirectional inference wrapper for standard LLMs to perform zero-shot NER more efficiently. By allowing future-context visibility without full-context re-computation, this tool can significantly speed up entity extraction.

Suggested repo: bidirNER

"See the whole sentence without double the compute cost."

Estimated effort: 35h