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arXiv:2603.05928v1 Announce Type: new Abstract: Language model training and inference ignore a fundamental linguistic fact -- there is a dependence between multiple sequences of text …
arXiv:2603.05933v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated impressive capabilities in role-playing (RP); however, small Language Models (SLMs) with highly stylized personas …
arXiv:2603.05953v1 Announce Type: new Abstract: Mental health is not a fixed trait but a dynamic process shaped by the interplay between individual dispositions and situational …
arXiv:2603.05996v1 Announce Type: new Abstract: Generative language models have shown significant potential in single-turn Text-to-SQL. However, their performance does not extend equivalently to multi-turn Text-to-SQL. …
arXiv:2603.06007v1 Announce Type: new Abstract: Large language model-based (LLM-based) multi-agent systems (MAS) are increasingly used to extend agentic problem solving via role specialization and collaboration. …
arXiv:2603.06024v1 Announce Type: new Abstract: Multi-view spatial reasoning remains difficult for current vision-language models. Even when multiple viewpoints are available, models often underutilize cross-view relations …
arXiv:2603.06066v1 Announce Type: new Abstract: Automated Essay Scoring (AES) has been explored for decades with the goal to support teachers by reducing grading workload and …
arXiv:2603.06088v1 Announce Type: new Abstract: Human problem-solving is enriched by a diversity of styles and personality traits, yet the development of Large Language Models (LLMs) …
arXiv:2603.06114v1 Announce Type: new Abstract: Real-world arguments in text and dialogues are normally enthymemes (i.e. some of their premises and/or claims are implicit). Natural language …
arXiv:2603.06123v1 Announce Type: new Abstract: Unlike autoregressive language models, which terminate variable-length generation upon predicting an End-of-Sequence (EoS) token, Diffusion Language Models (DLMs) operate over …
arXiv:2603.06135v1 Announce Type: new Abstract: Current methods for textual analysis rely on data annotated within predefined ontologies, often embedding human bias within black-box models. Despite …
arXiv:2603.06183v1 Announce Type: new Abstract: We introduce CRIMSON, a clinically grounded evaluation framework for chest X-ray report generation that assesses reports based on diagnostic correctness, …