AI 업계의 최신 소식을 빠르게 확인하세요.
arXiv:2603.00267v1 Announce Type: new Abstract: Misinformation spreading over the Internet poses a significant threat to both societies and individuals, necessitating robust and scalable factchecking that relies on retrieving accurate and trustworthy evidence.
arXiv:2603.00285v1 Announce Type: new Abstract: Evaluating AI agents in finance faces two key challenges: static benchmarks require costly expert annotation yet miss the dynamic decisionmaking central to realworld trading, while LLMbased judges introduce uncontrolled variance on domainspecific...
arXiv:2603.00309v1 Announce Type: new Abstract: The increasingly popular agentic AI paradigm promises to harness the power of multiple, generalpurpose large language model LLM agents to collaboratively complete complex tasks.
arXiv:2603.00312v1 Announce Type: new Abstract: While multimodal large language models offer a promising solution to the "black box" nature of health AI by generating interpretable reasoning traces, verifying the validity of these traces remains a critical challenge.
arXiv:2603.00349v1 Announce Type: new Abstract: Realworld scenarios increasingly require multiple embodied agents to collaborate in dynamic environments under embodied constraints, as many tasks exceed the capabilities of any single agent.
arXiv:2603.00350v1 Announce Type: new Abstract: The prevailing paradigm in artificial intelligence research equates progress with scale: larger models trained on broader datasets are presumed to yield superior capabilities.
arXiv:2603.00374v1 Announce Type: new Abstract: Offline learning of strategies takes data efficiency to its extreme by restricting algorithms to a fixed dataset of stateaction trajectories.
arXiv:2603.00376v1 Announce Type: new Abstract: \textit{NeuroHex} is a hexagonal coordinate system designed to support highly efficient world models and reference frames for online adaptive AI systems.
arXiv:2603.00451v1 Announce Type: new Abstract: Accurate and unambiguous guidelines are critical for large language model LLM based graders, yet manually crafting these prompts is often suboptimal as LLMs can misinterpret expert guidelines or lack necessary domain specificity.
arXiv:2603.00460v1 Announce Type: new Abstract: Clinical decisionmaking requires synthesizing heterogeneous evidence, including patient histories, clinical guidelines, and trajectories of comparable cases.
The fouryearold startup saw its revenue run rate double over the past three months, according to one Bloomberg source.
Gebbia was reportedly spotted at a San Francisco coffee shop using an unidentified pair of earbuds with a circular disc that looks similar to the device seen in a recent OpenAI hoax ad.