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arXiv:2602.12872v1 Announce Type: new Abstract: Numerical solution of partial differential equations (PDEs) plays a vital role in various fields of science and engineering. In recent...
arXiv:2602.12873v1 Announce Type: new Abstract: Generative social robots (GSRs) powered by large language models enable adaptive, conversational tutoring but also introduce risks such as hallucina-tions,...
arXiv:2602.12875v1 Announce Type: new Abstract: The Microservices Architecture (MSA) design pattern has become a staple for modern applications, allowing functionalities to be divided across fine-grained...
arXiv:2602.12877v1 Announce Type: new Abstract: Understanding road scenes is essential for autonomous driving, as it enables systems to interpret visual surroundings to aid in effective...
arXiv:2602.12878v1 Announce Type: new Abstract: In this work we investigate the sociocultural values learned by large language models (LLMs). We introduce a novel open-access dataset,...
arXiv:2602.12881v1 Announce Type: new Abstract: Large-scale lyric corpora present unique challenges for data-driven analysis, including the absence of reliable annotations, multilingual content, and high levels...
arXiv:2602.12887v1 Announce Type: new Abstract: There is a growing interest in researching game design processes, artifacts and culture through active game design. Tools and processes...
arXiv:2602.12888v1 Announce Type: new Abstract: We study competitive dynamic pricing among multiple sellers, motivated by the rise of large-scale experimentation and algorithmic pricing in retail...
arXiv:2602.12889v1 Announce Type: new Abstract: We present BaziQA-Benchmark, a standardized benchmark for evaluating symbolic and temporally compositional reasoning in large language models. The benchmark is...
arXiv:2602.12891v1 Announce Type: new Abstract: This thesis documents a voyage towards truth and beauty via formal verification of theorems. To this end, we develop libraries...
arXiv:2602.12892v1 Announce Type: new Abstract: Pre-trained Multi-modal Large Language Models (MLLMs) provide a knowledge-rich foundation for post-training by leveraging their inherent perception and reasoning capabilities...
arXiv:2602.12894v1 Announce Type: new Abstract: In this paper, we present a 2-local proof labeling scheme with labels in $\{ 0,1,2\}$ for leader election in anonymous...
arXiv:2602.12902v1 Announce Type: new Abstract: As self-driving technology advances toward widespread adoption, determining safe operational thresholds across varying environmental conditions becomes critical for public safety....
arXiv:2602.12903v1 Announce Type: new Abstract: We study repeated bilateral trade when the valuations of the sellers and the buyers are contextual. More precisely, the agents'...
arXiv:2602.12904v1 Announce Type: new Abstract: We study the problem of contextual online bilateral trade. At each round, the learner faces a seller-buyer pair and must...
arXiv:2602.12905v1 Announce Type: new Abstract: Object completion networks typically produce static Signed Distance Fields (SDFs) that faithfully reconstruct geometry but cannot be rescaled or deformed...
arXiv:2602.12911v1 Announce Type: new Abstract: Code-switching (CS), which is when Vietnamese speech uses English words like drug names or procedures, is a common phenomenon in...
arXiv:2602.12913v1 Announce Type: new Abstract: Cooperative air-ground delivery has emerged as a promising logistics paradigm by leveraging the complementary strengths of UAVs and ground carriers....
arXiv:2602.12916v1 Announce Type: new Abstract: As a multimodal extension of Chain-of-Thought (CoT), Thinking with Images (TWI) has recently emerged as a promising avenue to enhance...
arXiv:2602.12918v1 Announce Type: new Abstract: Distinguishing the feel of smooth silk from coarse cotton is a trivial everyday task for humans. When exploring such fabrics,...
arXiv:2602.12919v1 Announce Type: new Abstract: Event stream-based Visual Place Recognition (VPR) is an emerging research direction that offers a compelling solution to the instability of...
arXiv:2602.12920v1 Announce Type: new Abstract: Purpose: This study compares two augmented reality (AR)-guided imaging workflows, one based on ultrasound shape completion and the other on...
arXiv:2602.12921v1 Announce Type: new Abstract: Figurative language understanding remains a significant challenge for Large Language Models (LLMs), especially for low-resource languages. To address this, we...
arXiv:2602.12924v1 Announce Type: new Abstract: Generative Social Agents (GSAs) are increasingly impacting human users through persuasive means. On the one hand, they might motivate users...