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Understand new AI research with readable explanations and links to the original papers.
SAT-Edge-Agent is a hardware-in-the-loop (HIL) system designed to manage onboard satellite intelligence by translating mission intent into actionable tool ca...
Interpretable Adaptive Sampling for LLM Test-Time Scaling introduces a method to dynamically adjust the amount of computation spent on individual LLM prompts...
Real-time bidding (RTB) ad exchanges typically forward nearly all incoming requests to demand-side platforms (DSPs), even though most do not result in a bid....
When Efficiency Becomes Fragility: Exploiting Dynamic Routing Vulnerabilities in Adaptive UAV Tracking introduces a security vulnerability in adaptive Transf...
This paper introduces a method for identifying the "actual causes" of neural network predictions while accounting for the structured causal dependencies inhe...
TACT (Taxonomy-Aligned Conversational Tutor) is a framework designed to improve how Large Language Models (LLMs) function as English-as-a-second-language (ES...
Risky Business: Measuring The Faithfulness-Safety Tension investigates the conflict between a model’s tendency to follow its own reasoning (faithfulness) and...
MissClick is a white-box adversarial attack designed to disrupt GUI visual grounding models by exploiting how these systems translate screen coordinates into...
The paper "The Transformer Revolution, Part 1: Dynamic Processing through Output- Weight Interconnections" by Marco Giunti and Fabrizia Giulia Garavaglia pro...
Socially Grounded Agentic AI: Coordinating Plural Perspectives through Social Theory proposes a framework for AI alignment that treats the representation of...
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