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arXiv:2602.18710v1 Announce Type: new Abstract: The conclusions of empirical research depend not only on data but on a sequence of analytic decisions that published results …
arXiv:2602.18724v1 Announce Type: new Abstract: Accelerating exploration in visual reinforcement learning under sparse rewards remains challenging due to the substantial task-irrelevant variations. Despite advances in …
arXiv:2602.18731v1 Announce Type: new Abstract: Chart summarization is crucial for enhancing data accessibility and the efficient consumption of information. However, existing methods, including those with …
arXiv:2602.18749v1 Announce Type: new Abstract: Data allocation plays a critical role in federated large language model (LLM) and small language models (SLMs) reasoning collaboration. Nevertheless, …
arXiv:2602.18764v1 Announce Type: new Abstract: This paper establishes a fundamental convergence: Schema-Guided Dialogue (SGD) and the Model Context Protocol (MCP) represent two manifestations of a …
arXiv:2602.18773v1 Announce Type: new Abstract: The emergence of tool-calling-based agent systems introduces a more evidence-driven paradigm for pathology image analysis in contrast to the coarse-grained …
arXiv:2602.18812v1 Announce Type: new Abstract: Path planning in complex environments is one of the key problems of artificial intelligence because it requires simultaneous understanding of …
arXiv:2602.18843v1 Announce Type: new Abstract: We introduce ABD, a benchmark for default-exception abduction over finite first-order worlds. Given a background theory with an abnormality predicate …
arXiv:2602.18884v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs), particularly smaller, deployable variants, exhibit a critical deficiency in understanding temporal and procedural visual data, …
arXiv:2602.18918v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly used as scientific copilots, but evidence on their role in research-level mathematics remains limited, …
arXiv:2602.18940v1 Announce Type: new Abstract: Deep Research Agents generate analyst-grade reports, yet evaluating them remains challenging due to the absence of a single ground truth …
arXiv:2602.18943v1 Announce Type: new Abstract: Procedural content generation (PCG) has made substantial progress in shaping static 2D/3D geometry, while most methods treat gameplay mechanics as …