arXiv:2606.03631v3 Announce Type: replace Abstract: Multivariate time series classification (MTSC) is pivotal in high-stakes domains, such as clinical diagnosis and industrial fault detection, where safe deployment…
arXiv:2401.05330v3 Announce Type: replace-cross Abstract: Causal questions often arise in settings where data are hierarchical: subunits are nested within units. Consider students in schools, cells in…
arXiv:2607.09250v1 Announce Type: new Abstract: The impact of a given training point on a statistical model is classically measured through its leave-one-out influence, which quantifies the…
arXiv:2607.09059v1 Announce Type: new Abstract: We present ARCANA, a collaborative multi agent framework for solving ARC AGI 2 tasks under strict test time and hardware constraints.…
arXiv:2604.22294v2 Announce Type: replace Abstract: Systematic reviews -- which requires comprehensive evidence collection and synthesis from large document corpora in response to targeted research questions --…
arXiv:2607.09324v1 Announce Type: new Abstract: Identifying and assigning keywords at scale is a technical, practical, and ethical challenge for crowdsourced collections. This article reports the findings…
arXiv:2607.08970v1 Announce Type: new Abstract: Recent benchmarks for VLMs largely assess single- or limited-view perception, leaving untested the core cognitive ability to integrate observations across viewpoints…
arXiv:2604.20730v3 Announce Type: replace Abstract: Multimodal Large Language Models (MLLMs) have shown promising capabilities in generating Scalable Vector Graphics (SVG) via direct code synthesis. However, existing…
arXiv:2607.08786v1 Announce Type: new Abstract: With the growing deployment of large language models (LLMs), LLM inference cost has become a key challenge. Pruning techniques that introduce…
arXiv:2506.22228v2 Announce Type: replace Abstract: Single-cell sequencing is revolutionizing biology by enabling detailed investigations of cell-state transitions. Many biological processes unfold along continuous trajectories, yet it…
arXiv:2607.09405v1 Announce Type: cross Abstract: Similarity search is a primary application of embedding models trained by contrastive learning. For one of the most popular contrastive learning…
arXiv:2607.09076v1 Announce Type: new Abstract: Cyberattacks on operational technology are increasingly causing costly downtime and physical damage, exposing the limitations of traditional rule-based monitoring in industrial…
arXiv:2607.03882v2 Announce Type: replace Abstract: LLMs are increasingly deployed as post-hoc explainers of AI-generated outputs, yet it remains unclear whether they can reliably communicate probabilistic information…
arXiv:2311.02564v2 Announce Type: replace Abstract: Relational extraction is one of the basic tasks related to information extraction in the field of natural language processing, and is…
arXiv:2607.09008v1 Announce Type: new Abstract: Safety-critical perception systems must reliably detect rare object classes within small label spaces, a setting that long-tailed detection methods, designed for…
arXiv:2607.09645v1 Announce Type: cross Abstract: Many real-world processes can be represented as compositions of functions along a directed acyclic graph (DAG). In causal modelling, these correspond…
arXiv:2004.05813v3 Announce Type: replace-cross Abstract: Suppose that we are given independent, identically distributed random samples $x_1,cdots,x_n$ from a mixture at most $k$ many $d$-dimensional spherical Gaussian…
arXiv:2602.21479v3 Announce Type: replace Abstract: Across many risk-sensitive areas, it is critical to continuously audit machine learning systems as we receive more data to quickly determine…
arXiv:2607.09431v1 Announce Type: cross Abstract: Medical time-to-event data are frequently subject to competing risks, where the occurrence of one terminal event precludes the others and standard…
arXiv:2607.08986v1 Announce Type: new Abstract: We formalize a research result in the Lean 4 proof assistant by having a mathematician direct an AI system, and frame…
arXiv:2511.04476v2 Announce Type: replace Abstract: Accurate and interpretable predictions of depression severity are essential for clinical decision support, yet existing models often lack uncertainty estimates and…
arXiv:2607.09328v1 Announce Type: new Abstract: Answering complex questions over long documents frequently requires integrating evidence that the source itself disperses naturally across distant passages. In an…
arXiv:2607.08932v1 Announce Type: new Abstract: Figure-ground organization in the human visual system relies on several shape-based cues, including surroundedness, convexity, and symmetry. While these cues have…
arXiv:2509.21725v3 Announce Type: replace Abstract: A bilevel optimization problem consists of two optimization problems nested as an upper- and a lower-level problem, in which the optimality…