arXiv:2509.22199v2 Announce Type: replace-cross Abstract: Vision Language Action (VLA) models derive their generalization capability from diverse training data, yet collecting…
arXiv:2509.24368v1 Announce Type: cross Abstract: We introduce the first watermark tailored for diffusion language models (DLMs), an emergent LLM paradigm…
arXiv:2509.24369v1 Announce Type: cross Abstract: Street view imagery has become an essential source for geospatial data collection and urban analytics,…
arXiv:2509.22445v2 Announce Type: replace-cross Abstract: The Minimum Description Length (MDL) principle offers a formal framework for applying Occam’s razor in…
arXiv:2509.22746v1 Announce Type: new Abstract: Current visual reasoning methods mainly focus on exploring specific reasoning modes. Although improvements can be…
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,…
