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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 …
arXiv:2603.09704v1 Announce Type: new Abstract: In this article, we evaluate four Large Language Models (LLMs) and their effectiveness at retrieving data within a specialized Retrieval-Augmented …
arXiv:2603.09723v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used across the scientific workflow, including to draft peer-review reports. However, many AI-generated reviews …
arXiv:2603.09758v1 Announce Type: new Abstract: Standardizing food terms from product labels and menus into ontology concepts is a prerequisite for trustworthy dietary assessment and safety …