January 2026

arXiv:2601.15297v1 Announce Type: new Abstract: We introduce AfriEconQA, a specialized benchmark dataset for African economic analysis grounded in a comprehensive corpus of 236 World Bank reports. The task of AfriEconQA is to answer complex economic queries that require high-precision numerical reasoning and temporal disambiguation from specialized institutional documents. The dataset consists of 8,937 curated QA instances, rigorously filtered from a pool of 10018 synthetic questions to ensure high-quality evidence-answer alignment. Each instance is composed of: (1) a question […]

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arXiv:2601.15296v1 Announce Type: new Abstract: Large language models achieve strong reasoning performance, yet existing decoding strategies either explore blindly (random sampling) or redundantly (independent multi-sampling). We propose Entropy-Tree, a tree-based decoding method that exploits entropy as a signal for branching decisions–expanding the search tree only at positions where the model exhibits genuine uncertainty. Entropy-Tree shows superior accuracy and calibration in reasoning tasks: it achieves better pass@k than Multi-chain across multiple models and datasets, and its predictive entropy demonstrates […]

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arXiv:2601.15295v1 Announce Type: new Abstract: Interactive narrative (IN) authors craft spaces of divergent narrative possibilities for players to explore, with the player’s input determining which narrative possibilities they actually experience. Generative AI can enable new forms of IN by improvisationally expanding on pre-authored content in response to open-ended player input. However, this extrapolation risks widening the gap between author-envisioned and player-experienced stories, potentially limiting the strength of plot progression and the communication of the author’s narrative intent. To […]

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arXiv:2601.15294v1 Announce Type: new Abstract: Mathematical knowledge exists in many forms, ranging from informal textbooks and lecture notes to large formal proof libraries, yet moving between these representations remains difficult. Informal texts hide dependencies, while formal systems expose every detail in ways that are not always human-readable. Dependency graphs offer a middle ground by making visible the structure of results, definitions, and proofs. We present KnowTeX, a standalone, user-friendly tool that extends the ideas of Lean’s Blueprints, enabling […]

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arXiv:2601.15293v1 Announce Type: new Abstract: Institutional and social barriers in higher education often prevent students with disabilities from effectively accessing support, including lengthy procedures, insufficient information, and high social-emotional demands. This study empirically explores how disabled students perceive robot-based support, comparing two interaction roles, one information based (signposting) and one disclosure based (sounding board), and two embodiment types (physical robot/disembodied voice agent). Participants assessed these systems across five dimensions: perceived understanding, social energy demands, information access/clarity, task difficulty, […]

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arXiv:2601.15292v1 Announce Type: new Abstract: Diabetes is a significant and continuously rising health challenge in Indonesia. Although many artificial intelligence (AI)-based health applications have been developed for early detection, most function as “black boxes,” lacking transparency in their predictions. Explainable AI (XAI) methods offer a solution, yet their technical outputs are often incomprehensible to non-expert users. This research aims to develop a mobile application front-end that presents XAI-driven diabetes risk analysis in an intuitive, understandable format. Development followed […]

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arXiv:2601.15291v1 Announce Type: new Abstract: Independent navigation is a core aspect of maintaining social participation and individual health for vulnerable populations. While historic cities such as Edinburgh, as the capital of Scotland, often feature well-established public transport systems, urban accessibility challenges remain and are exacerbated by a complex landscape, especially for groups with multiple vulnerabilities such as the blind elderly. With limited research examining how real-time data feeds and developments in artificial intelligence can enhance navigation aids, we […]

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arXiv:2601.15290v1 Announce Type: new Abstract: Testing conversational AI systems at scale across diverse domains necessitates realistic and diverse user interactions capturing a wide array of behavioral patterns. We present a novel multi-agent framework for realistic, explainable human user simulation in interactive scenarios, using persona control and task state tracking to mirror human cognitive processes during goal-oriented conversations. Our system employs three specialized AI agents: (1) a User Agent to orchestrate the overall interaction, (2) a State Tracking Agent […]

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Intro: Stock Price Prediction, Machine Learning, and Quantum ML Today, we’re diving into the intersection of quantum computing and machine learning, exploring quantum machine learning and its application in stock price prediction. Our main goal is to compare the performance of a quantum neural network for stock price time series forecasting with a simple single-layer MLP. To facilitate this project, we’ll be utilizing the Historical API endpoint offered by Financial Modeling Prep (FMP) for reliable and accurate data which is […]

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In this article, I explain how I enhanced and integrated the CISA Known Exploited Vulnerabilities (KEV) catalog into my vulnerability management platform. Additionally, I compare the signals from CISA KEV with those from a commercial vulnerability management platform. CISA KEV (U.S. Cybersecurity and Infrastructure Security Agency Known Exploited Vulnerabilities Catalog) is a curated list of vulnerabilities that have confirmed evidence of active exploitation. When a Single Vendor’s Expertise Is Not Enough Most modern vulnerability management (VM) platforms maintain […]

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