arXiv:2508.01249v1 Announce Type: cross Abstract: Large Language Model (LLM) agents offer a powerful new paradigm for solving various problems by...

arXiv:2505.07167v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have been extensively used across diverse domains, including virtual assistants, automated...

arXiv:2506.16123v2 Announce Type: replace Abstract: This paper presents FinCoT, a structured chain-of-thought (CoT) prompting framework that embeds domain-specific expert financial...

arXiv:2508.01674v1 Announce Type: new Abstract: Personalization of Large Language Models (LLMs) often assumes users hold static preferences that reflect globally...

In today’s data-driven world, valuable insights are often buried in unstructured text—be it clinical notes, lengthy legal contracts, or customer...

arXiv:2402.02364v3 Announce Type: replace-cross Abstract: Deep learning involves navigating a high-dimensional loss landscape over the neural network parameter space. Over...

arXiv:2507.22462v2 Announce Type: replace Abstract: Code large language models (Code LLMs) have made significant progress in code generation by translating...

arXiv:2508.00675v1 Announce Type: new Abstract: Style change detection – identifying the points in a document where writing style shifts –...

arXiv:2508.00414v1 Announce Type: cross Abstract: General AI Agents are increasingly recognized as foundational frameworks for the next generation of artificial...