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data science

3,683 papers

#artificial intelligence Preprint Open access Nov 2026

Learning to Think from Multiple Thinkers: How Chain-of-Thought Heterogeneity Affects Efficient Learnability

Chain-of-thought (CoT) supervision makes computationally hard learning problems tractable by exposing intermediate steps that are easy to learn via next-token prediction. However, in practice, CoT datasets draw on heterogeneous sources with different reasoning styles, and substantial effort goes into curating supervisi...

Nirmit Joshi, Roey Magen, Nathan Srebro et al. · 0 citations
#artificial intelligence Preprint Open access Nov 2026

Implicit Regularization via Spectral Neural Networks and Non-linear Matrix Sensing

The phenomenon of implicit bias has attracted interest in recent years as a fundamental aspect of the remarkable generalizing ability of neural networks. In a nutshell, it entails that gradient descent dynamics in many neural nets, even without any explicit regularizer in the loss function, converges to the solution of...

Hong T. M. Chu, Xiaoyu Dong, Subhro Ghosh et al. · 0 citations
#artificial intelligence Preprint Open access Nov 2026

Network Effect Decomposition for Causal Effect Estimation under Network Interference

Estimating causal effects from observational network data requires accounting for both individual treatment and neighborhood exposure. Existing outcome models commonly incorporate these intervention variables into a joint predictor and estimate causal effects through prediction contrasts, leaving the corresponding resp...

Zhirong Huang, Wenzhen Zhang, Guangquan Lu et al. · 0 citations
#artificial intelligence Preprint Open access Nov 2026

Satisficing as competitive Bayesian weighting: a minimal model of goal-directed choice under an unattained target

Animals and humans often do not maximize; they act relative to goals (aspiration levels) that are frequently not yet met. How can a goal that is not (yet) realized organize choice? Deacon (2012) calls such absence-referenced organization \emph{ententional}, and Garc\'{i}a-Valdecasas and Deacon (2024) argue that ends ar...

Moto Shinriki, Yu Kono, Tatsuji Takahashi · 0 citations
#data science Book Open access Nov 2026

Tool-supported Expert Validation of CONTEXT-sensitive Data Extraction from Scientific Articles

ContEXT is presented, a domain-agnostic tool that enables in-context expert judgment over LLM-extracted outputs, enabling efficient in-context assessment, robust to typical LLM noise such as paraphrasing and hallucination.

Diana Martínez-Minguet, Carlo Alberto Bono, A. García S. et al. · 0 citations
#data science Book Open access Nov 2026

AI and Feminist Worldmaking in Technofascist Times

Drawing on her forthcoming book, 10 Ways to Stop Technofascism (MIT Press, 2027), D'Ignazio will contextualize the rise of ''technofascism'' – the collusion of large technology firms with authoritarian, extractive, and anti-democratic political agendas. While we can see technofascism manifesting globally, it is not ine...

Catherine D'Ignazio · 0 citations
#data science Book Open access Nov 2026

KEIR @ CIKM 2026: The Third Workshop on Knowledge-Enhanced Information Retrieval

The Third Workshop on Knowledge-Enhanced Information Retrieval (KEIR @ CIKM 2026) gathers researchers and practitioners from IR, natural language processing, data mining, and knowledge management to advance the principled integration of external knowledge into IR.

Giacomo Frisoni, Luca Ragazzi, Gianluca Moro et al. · 0 citations
#data science Book Open access Nov 2026

Beyond Keywords: Training-Free Entity Linking for Multilingual Research Metadata

Context-Aware Routing for Entity Linking (CAREL), a training-free pipeline that links research metadata keywords to Wikidata QIDs through a four-layer cascade, is presented, a novel signal that turns the agreement of retrieval ranks across language-specific queries into a measure of linking confidence without requiring...

Jia-Yu Yang, D. Nandini, Frédérick Madore et al. · 0 citations
#data science Nov 2026

Genetic Sovereignty within the System of Functions of Public Authorities: A Doctrinal Model and Transboundary Reality

This article demonstrates the qualitative impact of the development of genomic technologies on national security, which is leading to the emergence of new functions for government agencies. It is argued that the accumulation of human genetic data, its use for various social purposes, and the growing dependence of perso...

G. Romanovsky · 0 citations
#data science Open access Nov 2026

DETERMINANT CAREER ADAPTABILITY THROUGH CAREER SELF-EFFICACY IN ECONOMIC EDUCATION STUDENTS AT UNNES

ABSTRACT Changes in communication and information technology encourage the dynamics of the increasingly complex world of work, characterized by increasing career uncertainty and demands for technology mastery, this condition requires graduates to have career adaptability. Therefore, the purpose of this study is to ana...

Dewi Azizatul Kholqiyah, Rusdarti · 0 citations
#data science Open access Nov 2026

THE EFFECT OF THE PROJECT-BASED LEARNING MODEL ASSISTED BY THE ACCOUNTING APPLICATION ON LEARNING OUTCOMES

ABSTRACT Changes in communication and information technology encourage the dynamics of the increasingly complex world of work, characterized by increasing career uncertainty and demands for technology mastery, this condition requires graduates to have career adaptability. Therefore, the purpose of this study is to ana...

N. Fitriyanti, Tiara Anggia Dewi, Fajri Arif Wibawa · 0 citations
#data science Open access Dec 2026

A Completeness-Driven Enterprise Architecture for Integrated Smart-Township Operations Using TOGAF ADM, ArchiMate, and the Zachman Framework

The developed enterprise architecture provides an extensible, auditable blueprint for operator-managed townships with an empirically documented coverage profile, wherein the identified temporal gaps establish an explicit empirical trajectory for operational lifecycle scheduling and governance extensions.

Stephen Edlin, Erick Dazki, Handri Santoso et al. · 0 citations

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GPT-Lab Nov 3, 2026

Sovereignty Is the Option to Leave

Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.

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