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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....
arXiv:2310.16582v3 Announce Type: replace Abstract: Personality is a crucial factor that shapes human communication patterns, thereby regulating the personalities of...
arXiv:2509.07555v1 Announce Type: new Abstract: In a rapidly evolving world where information updates swiftly, knowledge in large language models (LLMs)...
arXiv:2504.13146v4 Announce Type: replace-cross Abstract: Frontier models that generate extended reasoning traces inadvertently produce rich token sequences that can facilitate...

