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AI & Data Science Preprint PDF DOI

Political Bias Audits of LLMs Capture Sycophancy to the Inferred Auditor

Petter Tornberg, Michelle Schimmel ยท 2026

Large language models (LLMs) are commonly evaluated for political bias based on their responses to fixed questionnaires, which typically place frontier models on the political left. A parallel literatโ€ฆ

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AI & Data Science Preprint PDF DOI

Decoding Scientific Experimental Images: The SPUR Benchmark for Perception, Understanding, and Reasoning

Junpeng Ding, Zichen Tang, Haihong E, Mengyuan Ji, Yang Liu, Haolin Tian, Haiyang Sun, Pengqi Sun, Yang Xu, Yichen Liu, Haocheng Gao, Zijie Xi, Ruomeng Jiang, Peizhi Zhao, Rongjin Li, Yuanze Li, Jiacheng Liu, Zhongjun Yang, Jintong Chen, Siying Lin ยท 2026

We introduce SPUR, a comprehensive benchmark for scientific experimental image perception, understanding, and reasoning, comprising 4,264 question-answering (QA) pairs derived from 1,084 expert-curateโ€ฆ

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Economics & Finance Preprint PDF DOI

Subsampling Under Two-way Clustering with Serial Correlation

Haonan Miao ยท 2026

We prove the validity of using subsampling method for inference under a two-way clustered panel in which the time effects are serially correlated. Subsamples should be drawn without replacement from rโ€ฆ

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Economics & Finance Preprint PDF DOI

Treatment-effect heterogeneity and interactive fixed effects: Can we control for too much?

Murilo Cardoso, Bruno Ferman, Marcelo Fernandes ยท 2026

This paper studies the interactive fixed effects (IFE) estimator in a panel-data setting with heterogeneous treatment effects. We show that, if the treatment-effect heterogeneity admits a linear factoโ€ฆ

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Economics & Finance Preprint PDF DOI

Bootstrap Inference in Nonlinear Panel Data Models with Interactive Fixed Effects

Haoyuan Xu, Wei Miao, Geert Dhaene, Jad Beyhum ยท 2026

The maximum likelihood estimator in nonlinear panel data models with interactive fixed effects is biased. Several bias correction methods, such as analytical and jackknife approaches, have been proposโ€ฆ

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Computer Science Preprint PDF DOI

I Would If I Could: Reasoning about Dynamics of Actions in Multi-Agent Systems

Rustam Galimullin, Hermine Grosinger, Munyque Mittelmann ยท 2026

Autonomous agents acting in realistic Multi-Agent Systems (MAS) should be able to adapt during their execution. Standard strategic logics, such as Alternating-time Temporal Logic (ATL), model agents' โ€ฆ

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Economics & Finance Preprint PDF DOI

Yau's Affine-Normal Descent for Large-Scale Unrestricted Higher-Moment Portfolio Optimization

Ya-Juan Wang, Yi-Shuai Niu, Artan Sheshmani, Shing-Tung Yau ยท 2026

Unrestricted mean-variance-skewness-kurtosis portfolio optimization can capture asymmetry and tail risk, but sample-moment formulations become computationally impractical when the asset universe is laโ€ฆ

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Economics & Finance Preprint PDF DOI

The Anatomy of a Decentralized Prediction Market: Microstructure Evidence from the Polymarket Order Book

Philipp D. Dubach ยท 2026

We study the microstructure of Polymarket, the largest on-chain prediction market, using a continuous tick-level archive of the public WebSocket order-book feed (30 billion events over 52 days) joinedโ€ฆ

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AI & Data Science Preprint PDF DOI

SolarTformer: A Transformer Based Deep Learning Approach for Short Term Solar Power Forecasting

Ankan Basu, Jyotiraditya Roy, Aditya Datta, Prayas Sanyal, Sumanta Banerjee ยท 2026

Accurate forecasting of solar power output is essential for efficient integration of renewable energy into the grid. In this study, an attention-based deep learning model, inspired by transformer archโ€ฆ

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AI & Data Science Preprint PDF DOI

SolarFCD: A Large-Scale Dataset and Benchmark for Solar Fault Classification in Photovoltaic Systems

Misbah Ijaz, Saif Ur Rehman Khan, Abd Ur Rehman, Arooj Zaib, Sebastian Vollmer, Andreas Dengel, Muhammad Nabeel Asim ยท 2026

The increasing global deployment of solar photovoltaic (PV) systems needs robust, scalable, and automated inspection technologies capable of detecting a wide range of panel flaws under a variety of opโ€ฆ

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AI & Data Science Preprint PDF DOI

AI Safety Training Can be Clinically Harmful

Suhas BN, Andrew M. Sherrill, Rosa I. Arriaga, Chris W. Wiese, Saeed Abdullah ยท 2026

Large language models are being deployed as mental health support agents at scale, yet only 16% of LLM-based chatbot interventions have undergone rigorous clinical efficacy testing, and simulations reโ€ฆ

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AI & Data Science Preprint PDF DOI

Towards Automated Ontology Generation from Unstructured Text: A Multi-Agent LLM Approach

Abid Talukder, Maruf Ahmed Mridul, Oshani Seneviratne ยท 2026

Automatically generating formal ontologies from unstructured natural language remains a central challenge in knowledge engineering. While large language models (LLMs) show promise, it remains unclear โ€ฆ

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Economics & Finance Preprint PDF DOI

Realized Regularized Regressions

Aleksey Kolokolov, Shifan Yu ยท 2026

We develop a continuous-time penalized regression framework for the estimation of time-varying coefficients and variable selection when both the response and covariates are It\^o semimartingales with โ€ฆ

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AI & Data Science Preprint PDF DOI

Forecasting Solar Energy Using a Single Image

Jeremy Klotz, Shree K. Nayar ยท 2026

Solar panels are increasingly deployed in cities on rooftops, walls, and urban infrastructure. Although the panel costs have fallen in recent years, the soft costs of installing them have not. These sโ€ฆ

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Economics & Finance Preprint PDF DOI

ChatGPT as a Time Capsule: The Limits of Price Discovery

Sebastian Lehner, Alejandro Lopez-Lira ยท 2026

Frozen large language model (LLM) checkpoints extract information from pre-cutoff public text that is associated with future fundamentals and equity returns beyond standard contemporaneous valuation mโ€ฆ

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Computer Science Preprint PDF DOI

TorchGWAS : GPU-accelerated GWAS for thousands of quantitative phenotypes

Xingzhong Zhao, Ziqian Xie, Islam, Sheikh Muhammad Saiful, Tian Xia, Chen, Cheng, Degui Zhi ยท 2026

Motivation: Modern bioinformatics workflows, particularly in imaging and representation learning, can generate thousands to tens of thousands of quantitative phenotypes from a single cohort. In such sโ€ฆ

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Engineering Preprint PDF DOI

Predicting food taste with bound-driven optimization

Pagkratis Tagkopoulos, Dimitris Sfondilis, Ilias Tagkopoulos, Tarek Zohdi ยท 2026

The prediction of sensory attributes from ingredient-level formulations is an emerging challenge at the intersection of food science and artificial intelligence. We address the fundamental question ofโ€ฆ

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Biology & Life Sciences Preprint PDF DOI

scpFormer: A Foundation Model for Unified Representation and Integration of the Single-Cell Proteomics

Qifeng Zhou, Lei Yu, Yuzhi Guo, Yuwei Miao, Hehuan Ma, Wenliang Zhong, Lin Xu, Junzhou Huang ยท 2026

The integration of single-cell proteomic data is often hindered by the fragmented nature of targeted antibody panels. To address this limitation, we introduce scpFormer, a transformer-based foundationโ€ฆ

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Computer Science Preprint PDF DOI

AI Incident Monitoring through a Public Health Lens

Sophia Abraham, Taiye Chen, Cyril Chhun, Giovanna Jaramillo-Gutierrez, Simon Mylius, Sayash Raaj, Peter Slattery, Sean McGregor ยท 2026

Artificial intelligence systems are now deployed at scale across sectors, accompanied by a growing number of real-world incidents ranging from misinformation and cybercrime to autonomous-system failurโ€ฆ

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Sociology & Anthropology Preprint PDF DOI

From centrality to productivity: How firms reconfigure technological search in innovation networks?

Han-Yun Tu, Xiang Yang, Si-Yao Wei ยท 2026

Firms' positions in innovation networks determine their access to external knowledge, yet how these positions shape technological search behavior and influence productivity remains underexplored. We pโ€ฆ

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