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전체 전문분석자료
arXiv:2603.20854v1 Announce Type: new Abstract: Kazakh, a Turkic language spoken by over 22 million people, remains underserved by existing multilingual language models, which allocate minimal …
arXiv:2603.20884v1 Announce Type: new Abstract: The exponential growth of academic publications has led to a surge in papers of varying quality, increasing the cost of …
arXiv:2603.20895v1 Announce Type: new Abstract: LLMs often share comparable benchmark accuracies, but their complementary performance across task subsets suggests that an Oracle router--a theoretical selector …
arXiv:2603.20899v1 Announce Type: new Abstract: Large language models exhibit strong reasoning capabilities, yet often rely on shortcuts such as surface pattern matching and answer memorization …
arXiv:2603.20907v1 Announce Type: new Abstract: As users increasingly turn to LLMs for practical and personal advice, they become vulnerable to being subtly steered toward hidden …
arXiv:2603.20939v1 Announce Type: new Abstract: Large language models are increasingly used as personal assistants, yet most lack a persistent user model, forcing users to repeatedly …
arXiv:2603.20957v1 Announce Type: new Abstract: Frontier LLM companies have repeatedly assured courts and regulators that their models do not store copies of training data. They …
arXiv:2603.20975v1 Announce Type: new Abstract: Multi-agent LLM systems, where multiple prompted instances of a language model independently answer questions, are increasingly used for complex reasoning …
arXiv:2603.21016v1 Announce Type: new Abstract: Large language models (LLMs) used for multiple-choice and pairwise evaluation tasks often exhibit selection bias due to non-semantic factors like …
arXiv:2603.21036v1 Announce Type: new Abstract: We investigate how large language models perform on low-resource languages by benchmarking eight LLMs across five experimental conditions in English, …
arXiv:2603.21038v1 Announce Type: new Abstract: As text-based computer-mediated communication (CMC) increasingly structures everyday interaction, a central question re-emerges with new urgency: How do users reconstruct …
arXiv:2603.21078v1 Announce Type: new Abstract: This study proposes a segmental-level prosodic probing framework to evaluate neural TTS models' ability to reproduce consonant-induced f0 perturbation, a …