arXiv:2509.26124v1 Announce Type: new Abstract: When using an LLM to process text outside the training domain(s), an often overlooked factor...

arXiv:2509.23946v2 Announce Type: replace-cross Abstract: Chain-of-Thought (CoT) and its variants have markedly advanced the reasoning abilities of Large Language Models...

arXiv:2509.26103v1 Announce Type: new Abstract: We present a scalable large language model (LLM)-based system that combines aspect-based sentiment analysis (ABSA)...

In this tutorial, we walk through the implementation of an Agentic Retrieval-Augmented Generation (RAG) system. We design it so that...

arXiv:2509.24251v1 Announce Type: cross Abstract: Multimodal Large Language Models (MLLMs) have achieved notable gains in various tasks by incorporating Chain-of-Thought...

arXiv:2509.24322v1 Announce Type: new Abstract: In recent years, large language models (LLMs) have driven major advances in language understanding, marking...

arXiv:2509.24202v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used in high-stakes settings, where overconfident responses can mislead...

arXiv:2509.15235v4 Announce Type: replace-cross Abstract: Speculative decoding is a widely adopted technique for accelerating inference in large language models (LLMs),...

arXiv:2505.21956v3 Announce Type: replace-cross Abstract: Text-to-image generation increasingly demands access to domain-specific, fine-grained, and rapidly evolving knowledge that pretrained models...