Stay updated with the latest research and technology news
arXiv:2212.02653v4 Announce Type: replace-cross Abstract: We explore new interactions between finite model theory and classical streams of universal algebra and semigroup theory. A key result...
arXiv:2211.08417v2 Announce Type: replace-cross Abstract: Given a graph $G$, a colouring of $G$ is \emph{acyclic} if it is a proper colouring of $G$ and every...
arXiv:2208.13969v2 Announce Type: replace-cross Abstract: The lung airway tree modeling is essential to work for the diagnosis of pulmonary diseases, especially for X-Ray computed tomography...
arXiv:2203.00554v2 Announce Type: replace-cross Abstract: Traditional methods for matching in causal inference are impractical for high-dimensional datasets. They suffer from the curse of dimensionality: exact...
arXiv:2202.11496v2 Announce Type: replace-cross Abstract: We propose a new benchmark for evaluating stereoscopic visual-inertial computer vision algorithms (SLAM/ SfM/ 3D Reconstruction/ Visual-Inertial Odometry) for minimally...
arXiv:1512.03127v4 Announce Type: replace-cross Abstract: We examine some flexible notions of constraint satisfaction, observing some relationships between model theoretic notions of universal Horn class membership...
arXiv:2602.10090v2 Announce Type: replace Abstract: Recent advances in large language model (LLM) have empowered autonomous agents to perform complex tasks that require multi-turn interactions with...
arXiv:2602.10085v2 Announce Type: replace Abstract: Developing agents capable of open-endedly discovering and learning novel skills is a grand challenge in Artificial Intelligence. While reinforcement learning...
arXiv:2602.10042v2 Announce Type: replace Abstract: Recent studies have demonstrated that incorporating Chain-of-Thought (CoT) reasoning into the detection process can enhance a model's ability to detect...
arXiv:2602.10015v2 Announce Type: replace Abstract: Temporally locating and classifying fine-grained sub-task segments in long, untrimmed videos is crucial to safe human-robot collaboration. Unlike generic activity...
arXiv:2602.09987v2 Announce Type: replace Abstract: Influence functions are commonly used to attribute model behavior to training documents. We explore the reverse: crafting training data that...
arXiv:2602.09929v2 Announce Type: replace Abstract: Monocular normal estimation aims to estimate the normal map from a single RGB image of an object under arbitrary lights....
arXiv:2602.09882v2 Announce Type: replace Abstract: The advent of quantum computation compels the cryptographic community to design digital signature schemes whose security extends beyond the classical...
arXiv:2602.09877v2 Announce Type: replace Abstract: The emergence of multi-agent systems built from large language models (LLMs) offers a promising paradigm for scalable collective intelligence and...
arXiv:2602.09849v2 Announce Type: replace Abstract: Equipping embodied agents with the ability to reason about tasks, foresee physical outcomes, and generate precise actions is essential for...
arXiv:2602.09834v2 Announce Type: replace Abstract: Sixth generation (6G) physical layer (PHY) is evolving beyond the legacy orthogonal frequency division multiplexing (OFDM)-based waveforms. In this paper,...
arXiv:2602.09821v2 Announce Type: replace Abstract: Text summarization is a fundamental task in natural language processing (NLP), and the information explosion has made long-document processing increasingly...
arXiv:2602.09810v2 Announce Type: replace Abstract: Transfer learning in deep reinforcement learning is often motivated by improved stability and reduced training cost, but it can also...
arXiv:2602.09740v2 Announce Type: replace Abstract: This article investigates the robustness of vision systems in Connected and Autonomous Vehicles (CAVs), which is critical for developing Level-5...
arXiv:2602.09653v2 Announce Type: replace Abstract: Although large language models (LLMs) demonstrate expert-level medical knowledge, aligning their open-ended outputs with fine-grained clinician preferences remains challenging. Existing...
arXiv:2602.09621v2 Announce Type: replace Abstract: Post-training alignment is central to deploying large language models (LLMs), yet practical workflows remain split across backend-specific tools and ad-hoc...
arXiv:2602.09591v2 Announce Type: replace Abstract: Reinforcement learning substantially improves reasoning in large language models, but it also tends to lengthen chain of thought outputs and...
arXiv:2602.09555v2 Announce Type: replace Abstract: Recent advances in block diffusion language models have demonstrated competitive performance and strong scalability on reasoning tasks. However, existing BDLMs...
arXiv:2602.09514v2 Announce Type: replace Abstract: Long-horizon planning is widely recognized as a core capability of autonomous LLM-based agents; however, current evaluation frameworks suffer from being...