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arXiv:2602.11340v1 Announce Type: new Abstract: Large language models (LLMs) have become widely adopted as automated judges for evaluating AI-generated content. Despite their success, aligning LLM-based...
arXiv:2602.11342v1 Announce Type: new Abstract: Theory of Mind (ToM) -- the ability to infer what others are thinking (e.g., intentions) from observable cues -- is...
arXiv:2602.11346v1 Announce Type: new Abstract: Multi-objective combinatorial optimization seeks Pareto-optimal solutions over exponentially large discrete spaces, yet existing methods sacrifice generality, scalability, or theoretical guarantees....
arXiv:2602.11348v1 Announce Type: new Abstract: Recent advances in large language models have enabled LLM-based agents to achieve strong performance on a variety of benchmarks. However,...
arXiv:2602.11349v1 Announce Type: new Abstract: Many Art History articles discuss artworks in general as well as specific parts of works, such as layout, iconography, or...
arXiv:2602.11350v1 Announce Type: new Abstract: Estimating intervention effects in dynamical systems is crucial for outcome optimization. In medicine, such interventions arise in physiological regulation (e.g.,...
arXiv:2602.11351v1 Announce Type: new Abstract: Proactive large language model (LLM) agents aim to actively plan, query, and interact over multiple turns, enabling efficient task completion...
arXiv:2602.11353v1 Announce Type: new Abstract: Generative artificial intelligence (GenAI) has engrossed the mainstream culture, expanded AI's creative user base, and catalyzed economic, legal, and aesthetic...
arXiv:2602.11354v1 Announce Type: new Abstract: The literature has witnessed an emerging interest in AI agents for automated assessment of scientific papers. Existing benchmarks focus primarily...
arXiv:2602.11357v1 Announce Type: new Abstract: Achieving high compute utilization across a wide range of AI workloads is crucial for the efficiency of versatile DNN accelerators....
arXiv:2602.11358v1 Announce Type: new Abstract: Large language models produce rich introspective language when prompted for self-examination, but whether this language reflects internal computation or sophisticated...
arXiv:2602.11360v1 Announce Type: new Abstract: Clinical prediction models are increasingly used to support patient care, yet many deep learning-based approaches remain unstable, as their predictions...
arXiv:2602.11361v1 Announce Type: new Abstract: Large language models have demonstrated impressive performance across a variety of reasoning tasks. However, their problem-solving ability often declines on...
arXiv:2602.11362v1 Announce Type: new Abstract: Modern distributed systems rely on consensus protocols to build a fault-tolerant-core upon which they can build applications. Consensus protocols are...
arXiv:2602.11363v1 Announce Type: new Abstract: We consider the classic 3SUM problem: given sets of integers $A, B, C $, determine whether there is a tuple...
arXiv:2602.11364v1 Announce Type: new Abstract: Large Language Models (LLMs) frequently hallucinate plausible but incorrect assertions, a vulnerability often missed by uncertainty metrics when models are...
arXiv:2602.11367v1 Announce Type: new Abstract: While generative AI tools are increasingly adopted for creative and analytical tasks, their role in interpretive practices, where meaning is...
arXiv:2602.11368v1 Announce Type: new Abstract: This paper formalizes religious epistemology through the mathematics of Variational Autoencoders. We model religious traditions as distinct generative mappings from...
arXiv:2602.11373v1 Announce Type: new Abstract: Using Bayesian decision theory, we modify the perfect-information, differential game-based guidance law (DGL1) to address the inevitable estimation error occurring...
arXiv:2602.11374v1 Announce Type: new Abstract: State-space models (SSMs) offer efficient sequence modeling but lag behind Transformers on benchmarks that require in-context retrieval. Prior work links...
arXiv:2602.11376v1 Announce Type: new Abstract: We introduces a category-theoretic framework for modelling trust as applied to trusted computation systems and remote attestation. By formalizing elements,...
arXiv:2602.11378v1 Announce Type: new Abstract: Projection-based Reduced Order Models (ROMs) are often deployed as static surrogates, which limits their practical utility once a system leaves...
arXiv:2602.11380v1 Announce Type: new Abstract: The Internet of Bio-Nano Things (IoBNT) requires mobile nanomachines that navigate complex fluids while exchanging molecular signals under external supervision....
arXiv:2602.11382v1 Announce Type: new Abstract: This paper investigates the extension complexity of polytopes by exploiting the correspondence between non-negative factorizations of slack matrices and randomized...