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전체 전문분석자료
arXiv:2603.09209v1 Announce Type: new Abstract: We formalize a macro-financial stress test for rapid AI adoption. Rather than a productivity bust or existential risk, we identify …
arXiv:2603.09231v1 Announce Type: new Abstract: Large language models (LLMs) demonstrate exceptional performance on general-purpose tasks. however, transferring them to complex engineering domains such as space …
arXiv:2603.09503v1 Announce Type: new Abstract: Phoneme frequency distributions exhibit robust statistical regularities across languages, including exponential-tailed rank-frequency patterns and a negative relationship between phonemic inventory …
arXiv:2603.09517v1 Announce Type: new Abstract: When language models are trained on synthetic data, they (student model) can covertly acquire behavioral traits from the data-generating model …
arXiv:2603.09556v1 Announce Type: new Abstract: Large audio language models (ALMs) extend LLMs with auditory understanding. A common approach freezes the LLM and trains only an …
arXiv:2603.09595v1 Announce Type: new Abstract: Political scientists increasingly face a consequential choice when adopting natural language processing tools: build a domain-specific model from scratch, borrow …
arXiv:2603.09616v1 Announce Type: new Abstract: We identify a systematic attention collapse pathology in the BLOOM family of transformer language models, where ALiBi positional encoding causes …
arXiv:2603.09638v1 Announce Type: new Abstract: Radiology reports capture crucial longitudinal information on tumor burden, treatment response, and disease progression, yet their unstructured narrative format complicates …
arXiv:2603.09654v1 Announce Type: new Abstract: Language Models (LMs) acquire parametric knowledge from their training process, embedding it within their weights. The increasing scalability of LMs, …
arXiv:2603.09685v1 Announce Type: new Abstract: To overcome the limitations of manual administrative coding in geriatric Cardiovascular Risk Management, this study introduces an automated classification framework …
arXiv:2603.09688v1 Announce Type: new Abstract: This research focuses on developing advanced methods for assessing similarity between recipes by combining different sources of information and analytical …
arXiv:2603.09691v1 Announce Type: new Abstract: Existing end-to-end modeling methods for modular task-oriented dialog systems are typically tailored to specific datasets, making it challenging to adapt …