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AI

Evaluating Inference-Time Defenses Against Package Hallucination in LLM-Generated Code

Researchers have identified a problem with Large Language Models (LLMs) that generate code: they oft...

Aug 25 🗳️ 0
AI

Physical Agentic AI: An Architecture for Orchestrating a Robot Crew with LLMs

Researchers have developed a framework called Physical Agentic AI that enables robots to work togeth...

Aug 25 🗳️ 0
AI

Hyperbolic Hierarchical Clustering for Visual Representation Learning

Researchers have proposed a new approach to visual representation learning called Hyperbolic Hierarc...

Aug 25 🗳️ 0
AI

RACO: Reliability-Aware Coarse-Goal Optimization for Inspection-Oriented UAV Vision-Language Navigation

Researchers from the University of [Unknown] have introduced a new framework called RACO for improvi...

Aug 25 🗳️ 0
AI

Enrich-Retrieve-Rank: Scaling Capability Discovery Beyond In-Context Routing

Researchers have proposed an alternative approach to discovering capabilities wi...

AI

TEE-X: TEE-aware Acceleration Framework for Large Vision Models at the Edge

Researchers have proposed a framework called TEE-X to enable large vision models...

AI

DiaRelay: Relaying Dialogue Context with a Constant-Size Memory for Emotion Recognition in Conversation

Researchers have developed a new method called DiaRelay for emotion recognition ...

AI

Object-Uni: A Unified Model for Object-Centric Spatial Understanding and Controllable Generation

Researchers have proposed a new AI model called Object-Uni that can understand a...

LATEST

AI XTC: Head-Aware Sampling by Excluding Top Choices
AI Don't Repeat Yourself: Stopping Verbatim Loops at Sampling Time
AI TRACE: A Self-Evolving Skill Bank for Consistent, Limit-Aware LLM Agents
AI Triplet2Track: A Hierarchical System with Object-Centric Representations for Reliable Long-Horizon Manipulation
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