hypedarhypedar
feedtrendsdiscovershowcasearchive
login
login
login
FeedTrendsDiscoverShowcaseArchiveDashboard
Submit Showcase

Trending now

Math + Games56Hardware + Inference + Robotics52Inference + Reliability49
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
4.8

OmniTrace: A Unified Framework for Generation-Time Attribution in Omni-Modal LLMs

Qianqi Yan, Yichen Guo, Ching-Chen Kuo, Shan Jiang, Hang Yin, Yang Zhao, Xin Eric Wang

View original ↗

Analysis

Viral velocity
low
Implementation gapYES
Novelty7/10
Categorypaper
Topics
multimodalinferencetransparency

Opportunity Brief

Develop a lightweight library that tracks token-level source attribution during multimodal inference. This will help developers debug hallucination and improve transparency in MLLMs.

Suggested repo: omnitrace-py

"Know exactly which pixel or word influenced your model's output."

Estimated effort: 60h