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arXiv:2602.21814v1 Announce Type: new Abstract: Large language models consistently fail the "car wash problem," a viral reasoning benchmark requiring implicit physical constraint inference. We present …
arXiv:2602.21857v1 Announce Type: new Abstract: Complex claim verification requires decomposing sentences into verifiable subclaims, yet existing methods struggle to align decomposition quality with verification performance. …
arXiv:2602.21858v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) have made significant progress in mobile agent development, yet their capabilities are predominantly confined to …
arXiv:2602.21889v1 Announce Type: new Abstract: Across a growing number of fields, human decision making is supported by predictions from AI models. However, we still lack …
arXiv:2602.22067v1 Announce Type: new Abstract: Grounding is a critical step in classical planning, yet it often becomes a computational bottleneck due to the exponential growth …
arXiv:2602.22070v1 Announce Type: new Abstract: Large language models are increasingly used in decision-making tasks that require them to process information from a variety of sources, …
arXiv:2602.22094v1 Announce Type: new Abstract: Plans often change due to changes in the situation or our understanding of the situation. Sometimes, a feasible plan may …
arXiv:2602.21215v1 Announce Type: cross Abstract: Token-level steering has emerged as a pivotal approach for inference-time alignment, enabling fine grained control over large language models by …
arXiv:2602.21216v1 Announce Type: cross Abstract: The EQ-5D (EuroQol 5-Dimensions) is a standardized instrument for the evaluation of health-related quality of life. In health economics, systematic …
arXiv:2602.21217v1 Announce Type: cross Abstract: This paper establishes Applied Sociolinguistic AI for Community Development (ASA-CD) as a novel scientific paradigm for addressing community challenges through …
arXiv:2602.21218v1 Announce Type: cross Abstract: High-quality data is essential for modern machine learning, yet many valuable corpora are sensitive and cannot be freely shared. Synthetic …
arXiv:2602.21220v1 Announce Type: cross Abstract: We present a memory system for AI agents that treats stored information as continuous fields governed by partial differential equations …
