001 A dynamic regularization-based evolutionary learning algorithm for many-objective structural equation models Semantic Scholar Paper Shuling Yang, Jiehong Li et al. Sep 1 002 Integrating managerial and investor textual data for financial distress prediction: A framework combining multi-source financial information fusion network with LLM Semantic Scholar Paper Jing Qiu, Shaoze Cui et al. Sep 1 003 The application of machine learning and deep learning on demand forecasting across time-critical industries: A systematic review Semantic Scholar Paper Asmaa Seyam, S. Mathew et al. Sep 1 004 Offline Policy Enhancement and Transfer by Combining Experimental and External One-Sided Treatment Data Semantic Scholar Paper Xueqing Liu, Qinwei Yang et al. Aug 9 005 Dual-network optimized backstepping: predefined-time function projective synchronization for hyperchaotic economic systems with external perturbations Semantic Scholar Paper Jiawei Ma, Huaguang Zhang et al. Aug 1 006 Evaluating regional green development levels within an incentive effects-based multiple granular probabilistic linguistic combination evaluation method Semantic Scholar Paper Xiaolu Zhang Aug 1 007 Graph-augmented transformer networks and explainable AI for economic impact forecasting in disrupted supply chains OpenAlex Paper Zhe Zhao Jul 19 008 LLM Latent Edge Measurement: Point-in-Time Economic Graphs for Quantitative Investing from Corporate Disclosures OpenAlex Paper Fan Yang, Lin Zhang Jul 17 009 A study on the influencing factors of perceived artificial intelligence substitution risk. Semantic Scholar Paper Xianghui Xing, Hongwei Dai et al. Jul 16 010 AI Trading: Evaluating Large Language Models for Technical Market Analysis arXiv Paper Geofrey Ntale Jul 16 011 Diminishing Return of Value Expansion Methods. Semantic Scholar Paper Daniel Palenicek, Michael Lutter et al. Jul 16 012 Governing Artificial Intelligence: Public Preferences and Regulatory Options arXiv Paper Magnus Lundgren, J. Tallberg Jul 16 013 Innocuous-Seeming Data, Latent Ideology: Ideological Generalisation in Finetuned LLMs arXiv Paper Robert Graham, Edward Stevinson et al. Jul 16 014 SciPhy Reinforcement Learning for Portfolio Optimization arXiv Paper I. Halperin, A. Itkin Jul 16 015 Who Became Financially Vulnerable After COVID-19? A Population-Level Machine Learning Analysis Using MEPS Data arXiv Paper Alexey Kresin, Zien Cheng et al. Jul 16 016 A Comparative Analysis of Machine Learning Models for Long and Short-Term Forecasting of the Egyptian Stock Market: A Focus on EGX30 arXiv Paper Muhammed Walid, Ahmed El-Naeimy et al. Jul 15 017 A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning arXiv Paper Yang Liu, Yuhao Liu et al. Jul 15 018 CausalGraphX: A Counterfactual Graph Neural Network Framework for Explainable Systemic Risk Assessment arXiv Paper Rabimba Karanjai, H. Madhavarao et al. Jul 15 019 Equilibrium Information Aggregation under Machine Learning arXiv Paper Andrew Ellis, M. Piccione et al. Jul 15 020 Explainable deep learning for multi-country energy forecasting and sustainability analysis using climate and socio-economic indicators. Semantic Scholar Paper Sajjad Ahmad, T. Althobaiti et al. Jul 15 021 Is Deep Hedging Reinforcement Learning? OpenAlex Paper Frédéric Godin Jul 15 022 Machine Learning Challenges in Intelligent Unmanned Aerial Vehicle Operations in Developing Economie arXiv Paper Isuru Munasinghe, Nethmi Pathirana et al. Jul 15 023 Measuring Sentiment News with Transformer-Based Language Models OpenAlex Paper Maria Saveria Mavillonio, Stefano Borgioli et al. Jul 15 024 Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion arXiv Paper Fengzhuo Zhang, Zhuoran Yang et al. Jul 15 025 Thinking about the Impact of Artificial Intelligence on U.S. Health Care Costs and Spending Growth OpenAlex Paper Bob Kocher, Brian Zhao et al. Jul 15 026 Fin-Analyst at FinMMEval 2026 Task 3: A Live Hybrid Trading Agent with LLM Specialists and Rule-Based Signals arXiv Paper Mohotarema Rashid, Lingzi Hong et al. Jul 14 027 Forecasting Inflation with Microdata: An Adaptive Machine Learning Approach arXiv Paper Catherine Chen, Chenkun Gao et al. Jul 14 028 Tabular Foundation Models for Discrete Choice Estimation arXiv Paper Liu Liu, Danlu Zhang Jul 14 029 Win by Silence: Deletion Non-Monotonicity, Autonomous Exploitation, and Typed-State Gating in LLM Plan Evaluation arXiv Paper Aleh Manchuliantsau Jul 14 030 Auditing the Risk Claims of Distributional Reinforcement Learning arXiv Paper Hari Prasad Jul 13 031 Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs arXiv Paper Sheng-Wei Peng, Yi-Hsun Lin et al. Jul 13 032 Diachronic Sample Integration: Robust Tail-Risk Estimation with Generative Models arXiv Paper Shuning Zhao, Patrick Wong et al. Jul 12 033 LLM-Enhanced Dynamic Financial Knowledge Graphs for Cross-Entity Signal Propagation and alpha discovery arXiv Paper Lin Zhang Jul 12 034 Reinforcement Learning for Execution under Dynamic Fees in a Closed-Loop DEX Simulator arXiv Paper Wen-Ting Wang Jul 12 035 Augmenting Fundamental Analysis with Large Language Models: A RAG-Based System for Generating Investor Briefs arXiv Paper B. Ziółko, Kacper Dobrzeniewski Jul 10 036 Deep Learning for Dynamic Programming with Recursive Utility Using First-order Conditions arXiv Paper X. Peng, Wu Guo et al. Jul 10 037 Large-Scale Portfolio Optimization Problem Under Cardinality Constraint With Enhanced Multi-Objective Evolutionary Algorithms arXiv Paper Danial Ramezani, M. A. Ardakan Jul 10 038 Risk-Aware General-Utility Markov Decision Processes arXiv Paper Pedro P. Santos, F'abio Vital et al. Jul 10 039 The Economics of AI Decoding Chips: Rebalancing Compute, Capacity, and Bandwidth for Efficient LLM Inference arXiv Paper M. J. Yuan, Ju Long Jul 10 040 A Novel Hybrid Quantum Reservoir Computing (nHQRC) for Phase Transition Detection in Non-Equilibrium Dynamical Systems arXiv Paper Manoj B. Bhatkar, Prashant M. Yawalkar Jul 9 041 Machine learning-based forecasting of CO2-related economic growth and agricultural land change in IORA countries Semantic Scholar Paper Xiaohan Xu, Guojie Liang et al. Jul 9 042 Modeling the Dynamic Relationship Between Brent Crude Oil Prices and the Nepal Stock Exchange: An Integrated Econometric and Explainable Machine Learning Approach arXiv Paper Anamol Khadka, Milan Arjel et al. Jul 9 043 PLURAL: A Global Dataset for Value Alignment arXiv Paper Dhruv Agarwal, Anya Shukla et al. Jul 9 044 Sharing economy in the era of full automation: Evidence from autonomous vehicle on-demand mobility services arXiv Paper Xiaoya Wang, Kenan Zhang et al. Jul 9 045 Sensitivity to Subjective Expected Utility Maximization: A Methodological Study, with an Illustrative Application to LLM Decision-Making arXiv Paper Jeffrey Helzner Jul 8 046 [Empirical Evidence of Artificial Intelligence Empowering Urban Green and Low-carbon Development： Taking the Yangtze River Economic Belt as an Example]. Semantic Scholar Paper Wei-Xiang Xu, Yi-Fan Shi et al. Jul 8 047 A Machine-Learning-Compatible Omnibus Test for Treatment Effect Heterogeneity arXiv Paper Elia Lapenta, Anthony Strittmatter et al. Jul 7 048 Can Reinforcement Learning Efficiently Discover Price Manipulation? arXiv Paper Ioanna-Yvonni Tsaknaki, Andrea Macrì et al. Jul 7 049 Factor-Augmented Machine Learning Panel Regressions arXiv Paper Andrii Babii, Luca Barbaglia et al. Jul 7 050 Information Limits and Attractor Dynamics in Economies of Frontier LLM Agents: A Pre-Registered Test arXiv Paper Cheng Qian Jul 7 051 Intelligent credit risk assessment for rural small and micro enterprises based on hybrid deep learning architecture. Semantic Scholar Paper Tao Xu, Chen Liu Jul 7 052 Strategic Bargaining in Multi-Buyer Markets: Reinforcement Learning from Verifiable Rewards for LLM Negotiations arXiv Paper Shuze Liu, Claire Chen et al. Jul 7 053 SHARC: SHAP-Based Interpretability in Machine Learning Risk Models for Regulatory Capital under ICAAP and CCAR arXiv Paper Ujjwala Vadrevu Jul 6 054 Decentralized Aggregation of LLM Predictions via Wagering Mechanisms arXiv Paper Yuhong Luo, David M. Pennock et al. Jul 5 055 Deep Learning for Dynamic Programming with Recursive Utility arXiv Paper X. Peng, Wu Guo Jul 5 056 Governing Generative AI Across Financial Institutions: A Framework for Generative AI Risk Control arXiv Paper Dennis Mao, Alessandra Lin et al. Jul 5 057 A harmonised dataset for Earth system foundation models arXiv Paper Carlos Rodriguez-Pardo, Massimo Tavoni Jul 3 058 Macro-Prudential AI Governance: A Two-Layer Early Warning and Response System for Frontier AI arXiv Paper Pranav Mehta Jul 3 059 Retrieval over Reasoning: A Cost-Controlled Benchmark of Language Models for Energy-Retrofit Recommendation OpenAlex Paper Eliseo Curcio Jul 3 060 Understanding electricity consumption behaviour through Inverse Reinforcement Learning arXiv Paper E. Cofler, Carlos Rodriguez-Pardo et al. Jul 3