hypedarhypedar
feedtrendsdiscovershowcasearchive
login
login
login
FeedTrendsDiscoverShowcaseArchiveDashboard
Submit Showcase

Trending now

Workflow + Code Generation + Automation62Robotics + Design54Ai + Agents42
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
← trends

Llm + Reasoning + Inference

63.0

Implement a hybrid feedback loop where a Graph Neural Network provides structural insights to an LLM, improving performance on node classification tasks with limited labels.

+0
activeimplementation gap
reasoningpromptingllmsecuritygnninferencemedical

Signals (7)

arXiv7h ago

Medical Reasoning with Large Language Models: A Survey and MR-Bench

arXiv7h ago

CSAttention: Centroid-Scoring Attention for Accelerating LLM Inference

YHN1d ago

Small models also found the vulnerabilities that Mythos found

arXiv7h ago

GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning with GNN Feedback

arXiv7h ago

Temperature-Dependent Performance of Prompting Strategies in Extended Reasoning Large Language Models

arXiv7h ago

Drift and selection in LLM text ecosystems

arXiv7h ago

Act or Escalate? Evaluating Escalation Behavior in Automation with Language Models