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arXiv:2505.05145v2 Announce Type: replace-cross Abstract: To perform in-context learning, language models must extract signals from individual few-shot examples, aggregate these...
arXiv:2504.17671v3 Announce Type: replace Abstract: This study addresses the critical challenge of hallucination mitigation in Large Vision-Language Models (LVLMs) for...
arXiv:2505.09738v1 Announce Type: new Abstract: Pretrained language models (LLMs) are often constrained by their fixed tokenization schemes, leading to inefficiencies...
arXiv:2505.10507v1 Announce Type: new Abstract: Translation-based strategies for cross-lingual transfer XLT such as translate-train — training on noisy target language...
arXiv:2505.09724v1 Announce Type: new Abstract: Analyzing texts such as open-ended responses, headlines, or social media posts is a time- and...
– Added new features to the FORM page – Updated pricing information on the pricing page – Improved logo satisfaction...
Added new features to the FORM page Updated pricing information on the pricing page Improved logo satisfaction in mobile view...
arXiv:2411.03343v2 Announce Type: replace-cross Abstract: Jailbreaks have been a central focus of research regarding the safety and reliability of large...
arXiv:2505.09338v1 Announce Type: new Abstract: We observe a novel phenomenon, contextual entrainment, across a wide range of language models (LMs)...
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