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AI타임스 조예주 기자 joyejuoffice@aitimes.com
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AI타임스 조예주 기자 joyejuoffice@aitimes.com
arXiv:2603.02214v1 Announce Type: new Abstract: Federated Inference FI studies how independently trained and privately owned models can collaborate at inference time without sharing data or model parameters.
arXiv:2603.02239v1 Announce Type: new Abstract: The Engineering Reasoning and Instruction ERI benchmark is a taxonomydriven instruction dataset designed to train and evaluate engineeringcapable large language models LLMs and agents.
arXiv:2603.02240v1 Announce Type: new Abstract: We present SuperLocalMemory, a localfirst memory system for multiagent AI that defends against OWASP ASI06 memory poisoning through architectural isolation and Bayesian trust scoring, while personalizing retrieval through adaptive learningtorank all...
arXiv:2603.02359v1 Announce Type: new Abstract: Digital advertising increasingly relies on visual content, yet marketers lack rigorous methods for understanding how specific visual attributes causally affect consumer engagement.
arXiv:2603.02365v1 Announce Type: new Abstract: The paper investigates whether and how AI systems can realize states of uncertainty. By adopting a functionalist and behavioral perspective, it examines how symbolic, connectionist and hybrid architectures make room for uncertainty.
arXiv:2603.02396v1 Announce Type: new Abstract: Platelets expire within five days. Blood banks face uncertain daily demand and must balance ordering decisions between costly wastage from overstocking and lifethreatening shortages from understocking.
arXiv:2603.02435v1 Announce Type: new Abstract: Realworld multimodal knowledge graphs MKGs are inherently heterogeneous, modeling entities that are associated with diverse modalities.
arXiv:2603.02473v1 Announce Type: new Abstract: Memoryaugmented LLM agents store and retrieve information from prior interactions, yet the relative importance of how memories are written versus how they are retrieved remains unclear.
arXiv:2603.02479v1 Announce Type: new Abstract: DEEPTHINK methods improve reasoning by generating, refining, and aggregating populations of candidate solutions, which enables strong performance on complex mathematical and scientific tasks.
arXiv:2603.02495v1 Announce Type: new Abstract: We consider a setting where agents take action by following their role models in a social network, and study strategies for a social planner to help agents by revealing whether the role models are positive or negative.
Some AI founders are using a novel valuation mechanism to manufacture unicorn status.