AI-Driven Synthesis for High-Tech System Design: Automating Innovation
AI-Driven Synthesis for High-Tech System Design: Automating Innovation Modern high-tech engineering faces a "combinatorial explosion," where the sheer number...
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AI-Driven Synthesis for High-Tech System Design: Automating Innovation Modern high-tech engineering faces a "combinatorial explosion," where the sheer number...
Knowledge graphs are essential for organizing facts, but they are often incomplete, missing many connections between entities.
Tandem Reinforcement Learning (TRL) is a new training approach designed to improve how large language models perform complex reasoning tasks.
Ontology-Guided Evidence Path Inference for Multi-hop Knowledge Graph Question Answering Knowledge graph question answering (KGQA) involves answering natural...
NormAct: A Benchmark for Hidden Social Norm Compliance in Embodied Planning Modern AI agents, such as Multimodal Large Language Models (MLLMs), are increasin...
Agent-Native Immune System: Architecture, Taxonomy, and Engineering introduces a new framework designed to protect autonomous AI agents from runtime threats....
This research introduces a new approach to causal inference in relational domains, where data involves complex relationships between objects.
JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications introduces a lar...
ATOD: Annealed Turn-aware On-policy Distillation for Multi-turn Autonomous Agents Training small language models to act as effective agents—capable of naviga...
Heart Rate Variability (HRV) is a vital metric for understanding cardiac health and diagnosing medical conditions.
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