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Table of contents Why was a new multilingual encoder needed? Understanding the architecture of mmBERT What training data and phases...
arXiv:2509.08803v1 Announce Type: cross Abstract: The rise of misinformation underscores the need for scalable and reliable fact-checking solutions. Large language...
arXiv:2509.08753v1 Announce Type: new Abstract: We introduce Delayed Streams Modeling (DSM), a flexible formulation for streaming, multimodal sequence-to-sequence learning. Sequence-to-sequence...
arXiv:2504.02438v5 Announce Type: replace Abstract: Long-form video processing fundamentally challenges vision-language models (VLMs) due to the high computational costs of...
arXiv:2502.06130v2 Announce Type: replace-cross Abstract: While recent Large Vision-Language Models (LVLMs) have shown remarkable performance in multi-modal tasks, they are...
arXiv:2509.08355v1 Announce Type: new Abstract: In high-stakes English Language Assessments, low-skill test takers may employ memorized materials called “templates” on...
arXiv:2508.06401v3 Announce Type: replace-cross Abstract: This systematic review of the research literature on retrieval-augmented generation (RAG) provides a focused analysis...
arXiv:2509.07925v1 Announce Type: new Abstract: Uncertainty estimation is essential for enhancing the reliability of Large Language Models (LLMs), particularly in...
arXiv:2507.15512v3 Announce Type: replace Abstract: Test-Time Scaling (TTS) is a promising approach to progressively elicit the model’s intelligence during inference....




