arXiv:2507.13681v2 Announce Type: replace-cross Abstract: Multi-turn dialogues are essential in many real-world applications of large language models, such as chatbots…
arXiv:2505.23863v2 Announce Type: replace-cross Abstract: Long-term forecasting of chaotic systems remains a fundamental challenge due to the intrinsic sensitivity to…
arXiv:2507.22168v2 Announce Type: replace-cross Abstract: Current benchmarks for evaluating Large Language Models (LLMs) often do not exhibit enough writing style…
arXiv:2410.21249v2 Announce Type: replace-cross Abstract: We study capacity- and budget-constrained multi-agent MDPs (CB-MA-MDPs), a class that captures many maintenance and…
arXiv:2505.11556v2 Announce Type: replace-cross Abstract: Multi-agent systems built on large language models (LLMs) promise enhanced problem-solving through distributed information integration,…
arXiv:2509.20113v2 Announce Type: replace-cross Abstract: Association Rule Mining (ARM) aims to discover patterns between features in datasets in the form…
arXiv:2509.21173v1 Announce Type: cross Abstract: The powerful zero-shot generalization capabilities of vision-language models (VLMs) like CLIP have enabled new paradigms…
arXiv:2509.21188v1 Announce Type: cross Abstract: Clinicians face growing information overload from biomedical literature and guidelines, hindering evidence-based care. Retrieval-augmented generation…
arXiv:2509.20317v2 Announce Type: replace-cross Abstract: Implicit Chain-of-Thought (CoT) methods offer a token-efficient alternative to explicit CoT reasoning in Large Language…
arXiv:2509.20364v1 Announce Type: new Abstract: This paper presents a temporal expression language for monitoring AI agent behavior, enabling systematic error-detection…
