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arXiv:2601.07251v3 Announce Type: replace Abstract: Recent advancements have expanded the role of Large Language Models in board games from playing agents to creative co-designers. However,...
arXiv:2601.07974v2 Announce Type: replace Abstract: AI-text detectors achieve high accuracy on in-domain benchmarks, but often struggle to generalize across different generation conditions such as unseen...
arXiv:2601.08209v2 Announce Type: replace Abstract: In domains such as biomedicine, materials, and finance, high-stakes deployment of large language models (LLMs) requires injecting private, domain-specific knowledge...
arXiv:2601.08235v3 Announce Type: replace Abstract: As language-model agents evolve from passive chatbots into proactive assistants that handle personal data, evaluating their adherence to social norms...
arXiv:2601.08258v2 Announce Type: replace Abstract: We introduce T3 (Testing Trustworthy Thinking), a diagnostic benchmark designed to rigorously evaluate LLM causal judgment across Pearl's Ladder of...
arXiv:2601.08387v2 Announce Type: replace Abstract: In this paper, we present an efficient algorithm to sample random sparse matrices to be used as check matrices for...
arXiv:2601.08641v2 Announce Type: replace Abstract: Copy trading has become the dominant entry strategy in meme coin markets. However, due to the market's extreme illiquid and...
arXiv:2601.08653v2 Announce Type: replace Abstract: Large Language Models are rapidly emerging as web-native interfaces to social platforms. On the social web, users frequently have ambiguous...
arXiv:2601.08815v2 Announce Type: replace Abstract: The Contract Net Protocol (1980) introduced coordination through contracts in multi-agent systems. Modern agent protocols standardize connectivity and interoperability; yet,...
arXiv:2601.09026v2 Announce Type: replace Abstract: We present a new training methodology for transformers using a multilevel, layer-parallel approach. Through a neural ODE formulation of transformers,...
arXiv:2601.09028v2 Announce Type: replace Abstract: The development of large language models (LLMs) has achieved superior performance in a range of downstream tasks, including LLM-based retrieval-augmented...
arXiv:2601.09033v2 Announce Type: replace Abstract: Generative AI (GenAI) is increasingly used in academic writing, yet its effects on students' writing self-efficacy remain contingent on how...
arXiv:2601.09053v2 Announce Type: replace Abstract: In this study, we evaluate a locally-deployed large-language model (LLM) to convert unstructured endometriosis transvaginal ultrasound (eTVUS) scan reports into...
arXiv:2601.09098v3 Announce Type: replace Abstract: The move to next-generation wireless communications with extremely large-scale antenna arrays (ELAAs) brings the communications into the radiative near-field (RNF)...
arXiv:2601.09150v3 Announce Type: replace Abstract: Large Language Models (LLMs) motivate generative agent simulation (e.g., AI Town) to create a ``dynamic world'', holding immense value across...
arXiv:2601.09308v2 Announce Type: replace Abstract: The Radon-Nikodym theorem plays a significant role in the definition of Shannon entropy, f-divergences, and other basic quantities in information...
arXiv:2601.09508v2 Announce Type: replace Abstract: We show that powersets over structures with a bounded counting sequence can be sampled efficiently without evaluating the generating function....
arXiv:2601.09635v2 Announce Type: replace Abstract: Large-scale optimization is a key backbone of modern business decision-making. However, building these models is often labor-intensive and time-consuming. We...
arXiv:2601.09658v3 Announce Type: replace Abstract: Estimating physically accurate, simulation-ready garments from a single image is challenging due to the absence of image-to-physics datasets and the...
arXiv:2601.09805v2 Announce Type: replace Abstract: Modern logical reasoning with LLMs primarily relies on employing complex interactive frameworks that decompose the reasoning process into subtasks solved...
arXiv:2601.09852v2 Announce Type: replace Abstract: Language places subtle constraints on how we make inductive inferences. Developmental evidence by Gelman et al. (2002) has shown children...
arXiv:2601.09877v2 Announce Type: replace Abstract: The emergence of AI twins, digital replicas that encapsulate an individual's knowledge, memories, psychological traits, and behavioral patterns, raises novel...
arXiv:2601.09931v2 Announce Type: replace Abstract: This paper addresses unsupervised diffusion-based single-channel speech enhancement (SE). Prior work in this direction combines a score-based diffusion model trained...
arXiv:2601.10132v2 Announce Type: replace Abstract: Large Language Models (LLMs) have demonstrated impressive capabilities in reasoning and prediction across different domains. Yet, their ability to infer...