{"total":97,"rows":[{"id":"2307.03109","title":"A Survey on Evaluation of Large Language Models","created":"2023-07-06","cited_by_count":1242,"area":null},{"id":"2306.05443","title":"PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance","created":"2023-06-08","cited_by_count":222,"area":null},{"id":"2305.18703","title":"Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey","created":"2023-05-30","cited_by_count":135,"area":null},{"id":"2310.10196","title":"Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook","created":"2023-10-16","cited_by_count":110,"area":null},{"id":"2401.11641","title":"Revolutionizing Finance with LLMs: An Overview of Applications and Insights","created":"2024-01-22","cited_by_count":90,"area":null},{"id":"2406.11903","title":"A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges","created":"2024-06-15","cited_by_count":90,"area":null},{"id":"2402.03182","title":"Empowering Time Series Analysis with Large Language Models: A Survey","created":"2024-02-05","cited_by_count":60,"area":null},{"id":"2407.00379","title":"GraphArena: Evaluating and Exploring Large Language Models on Graph Computation","created":"2024-06-29","cited_by_count":49,"area":null},{"id":"2402.02713","title":"Position: What Can Large Language Models Tell Us about Time Series Analysis","created":"2024-02-05","cited_by_count":47,"area":null},{"id":"2306.03763","title":"ChatGPT Informed Graph Neural Network for Stock Movement Prediction","created":"2023-05-28","cited_by_count":41,"area":null},{"id":"2309.17322","title":"Assessing Look-Ahead Bias in Stock Return Predictions Generated By GPT Sentiment Analysis","created":"2023-09-29","cited_by_count":31,"area":null},{"id":"2401.03737","title":"Can Large Language Models Beat Wall Street? Unveiling the Potential of AI in Stock Selection","created":"2024-01-08","cited_by_count":29,"area":null},{"id":"2401.11839","title":"AI for social science and social science of AI: A Survey","created":"2024-01-22","cited_by_count":29,"area":null},{"id":"2310.00566","title":"Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models","created":"2023-10-01","cited_by_count":24,"area":null},{"id":"2405.02358","title":"Empowering Time Series Analysis with Foundation Models: A Comprehensive Survey","created":"2024-05-03","cited_by_count":23,"area":null},{"id":"2403.14661","title":"Towards Modeling Learner Performance with Large Language Models","created":"2024-02-29","cited_by_count":21,"area":null},{"id":"2306.02781","title":"An Automated Survey of Generative Artificial Intelligence: Large Language Models, Architectures, Protocols, and Applications","created":"2023-06-05","cited_by_count":20,"area":null},{"id":"2505.07078","title":"Can LLM-based Financial Investing Strategies Outperform the Market in Long Run?","created":"2025-05-11","cited_by_count":20,"area":null},{"id":"2409.04267","title":"An overview of domain-specific foundation model: key technologies, applications and challenges","created":"2024-09-06","cited_by_count":19,"area":null},{"id":"2411.08324","title":"Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle","created":"2024-11-13","cited_by_count":19,"area":null},{"id":"2310.01880","title":"AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval","created":"2023-10-03","cited_by_count":18,"area":null},{"id":"2310.05627","title":"Integrating Stock Features and Global Information via Large Language Models for Enhanced Stock Return Prediction","created":"2023-10-09","cited_by_count":17,"area":null},{"id":"2306.14222","title":"Unveiling the Potential of Sentiment: Can Large Language Models Predict Chinese Stock Price Movements?","created":"2023-06-25","cited_by_count":15,"area":null},{"id":"2307.01135","title":"ChatGPT vs. Google: A Comparative Study of Search Performance and User Experience","created":"2023-07-03","cited_by_count":12,"area":null},{"id":"2309.03079","title":"GPT-InvestAR: Enhancing Stock Investment Strategies through Annual Report Analysis with Large Language Models","created":"2023-09-06","cited_by_count":12,"area":null},{"id":"2404.05101","title":"StockGPT: A GenAI Model for Stock Prediction and Trading","created":"2024-04-07","cited_by_count":11,"area":null},{"id":"2307.04251","title":"ChatGPT in the Age of Generative AI and Large Language Models: A Concise Survey","created":"2023-07-09","cited_by_count":10,"area":null},{"id":"2309.11960","title":"A Comprehensive Review on Financial Explainable AI","created":"2023-09-21","cited_by_count":10,"area":null},{"id":"2411.00856","title":"AI in Investment Analysis: LLMs for Equity Stock Ratings","created":"2024-10-30","cited_by_count":10,"area":null},{"id":"2407.03689","title":"Text2TimeSeries: Enhancing Financial Forecasting through Time Series Prediction Updates with Event-Driven Insights from Large Language Models","created":"2024-07-04","cited_by_count":9,"area":null},{"id":"2305.09402","title":"A Preliminary Analysis on the Code Generation Capabilities of GPT-3.5 and Bard AI Models for Java Functions","created":"2023-05-16","cited_by_count":8,"area":null},{"id":"2305.18838","title":"Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting","created":"2023-05-30","cited_by_count":8,"area":null},{"id":"2308.06260","title":"ChatGPT-based Investment Portfolio Selection","created":"2023-08-11","cited_by_count":8,"area":null},{"id":"2310.02174","title":"Ask Again, Then Fail: Large Language Models' Vacillations in Judgment","created":"2023-10-03","cited_by_count":8,"area":null},{"id":"2501.08406","title":"OptiChat: Bridging Optimization Models and Practitioners with Large Language Models","created":"2025-01-14","cited_by_count":8,"area":null},{"id":"2307.10188","title":"Several categories of Large Language Models (LLMs): A Short Survey","created":"2023-07-05","cited_by_count":7,"area":null},{"id":"2309.00649","title":"GPT has become financially literate: Insights from financial literacy tests of GPT and a preliminary test of how people use it as a source of advice","created":"2023-08-31","cited_by_count":7,"area":null},{"id":"2410.15653","title":"Opportunities and Challenges of Generative-AI in Finance","created":"2024-10-21","cited_by_count":6,"area":null},{"id":"2410.21195","title":"Belief in the Machine: Investigating Epistemological Blind Spots of Language Models","created":"2024-10-28","cited_by_count":6,"area":null},{"id":"2412.05731","title":"A Scoping Review of ChatGPT Research in Accounting and Finance","created":"2024-12-07","cited_by_count":6,"area":null},{"id":"2603.02702","title":"FinTexTS: Financial Text-Paired Time-Series Dataset via Semantic-Based and Multi-Level Pairing","created":"2026-03-03","cited_by_count":5,"area":null},{"id":"2311.15180","title":"Benchmarking Large Language Model Volatility","created":"2023-11-26","cited_by_count":4,"area":null},{"id":"2402.15537","title":"Evaluating the Performance of ChatGPT for Spam Email Detection","created":"2024-02-23","cited_by_count":4,"area":null},{"id":"2409.00094","title":"Examining Independence in Ensemble Sentiment Analysis: A Study on the Limits of Large Language Models Using the Condorcet Jury Theorem","created":"2024-08-26","cited_by_count":4,"area":null},{"id":"2410.20679","title":"MCI-GRU: Stock Prediction Model Based on Multi-Head Cross-Attention and Improved GRU","created":"2024-09-25","cited_by_count":4,"area":null},{"id":"2411.06272","title":"Golden Touchstone: A Comprehensive Bilingual Benchmark for Evaluating Financial Large Language Models","created":"2024-11-09","cited_by_count":4,"area":null},{"id":"2503.22693","title":"Bridging Language Models and Financial Analysis","created":"2025-03-14","cited_by_count":4,"area":null},{"id":"2506.06288","title":"DELPHYNE: A Pre-Trained Model for General and Financial Time Series","created":"2025-05-12","cited_by_count":4,"area":null},{"id":"2603.17692","title":"Can Blindfolded LLMs Still Trade? An Anonymization-First Framework for Portfolio Optimization","created":"2026-03-18","cited_by_count":4,"area":null},{"id":"2307.01202","title":"Predictive Patentomics: Forecasting Innovation Success and Valuation with ChatGPT","created":"2023-06-22","cited_by_count":3,"area":null},{"id":"2308.04947","title":"Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Survey","created":"2023-08-09","cited_by_count":3,"area":null},{"id":"2310.17721","title":"From Transcripts to Insights: Uncovering Corporate Risks Using Generative AI","created":"2023-10-26","cited_by_count":3,"area":null},{"id":"2411.08404","title":"Quantifying Qualitative Insights: Leveraging LLMs to Market Predict","created":"2024-11-13","cited_by_count":3,"area":null},{"id":"2508.02366","title":"Language Model Guided Reinforcement Learning in Quantitative Trading","created":"2025-08-04","cited_by_count":3,"area":null},{"id":"2605.00844","title":"The Oracle's Fingerprint: Correlated AI Forecasting Errors and the Limits of Bias Transmission","created":"2026-04-07","cited_by_count":3,"area":null},{"id":"2607.11889","title":"Scaling Point-in-Time Language Models: Enabling Economic Evaluation of Embeddings","created":"2026-04-24","cited_by_count":3,"area":null},{"id":"2306.05036","title":"Mapping the Challenges of HCI: An Application and Evaluation of ChatGPT for Mining Insights at Scale","created":"2023-06-08","cited_by_count":2,"area":null},{"id":"2310.13226","title":"Enhancing Zero-Shot Crypto Sentiment with Fine-tuned Language Model and Prompt Engineering","created":"2023-10-20","cited_by_count":2,"area":null},{"id":"2311.06273","title":"Potential of ChatGPT in predicting stock market trends based on Twitter Sentiment Analysis","created":"2023-10-13","cited_by_count":2,"area":null},{"id":"2401.14199","title":"MTRGL:Effective Temporal Correlation Discerning through Multi-modal Temporal Relational Graph Learning","created":"2024-01-25","cited_by_count":2,"area":null},{"id":"2404.00012","title":"Stress index strategy enhanced with financial news sentiment analysis for the equity markets","created":"2024-03-12","cited_by_count":2,"area":null},{"id":"2409.11408","title":"Optimizing Performance: How Compact Models Match or Exceed GPT's Classification Capabilities through Fine-Tuning","created":"2024-08-22","cited_by_count":2,"area":null},{"id":"2510.15691","title":"Exploring the Synergy of Quantitative Factors and Newsflow Representations from Large Language Models for Stock Return Prediction","created":"2025-10-17","cited_by_count":2,"area":null},{"id":"2605.05211","title":"A Review of Large Language Models for Stock Price Forecasting from a Hedge-Fund Perspective","created":"2026-04-10","cited_by_count":2,"area":null},{"id":"2507.17016","title":"Causal Graph Fuzzy LLMs: A First Introduction and Applications in Time Series Forecasting","created":"2025-07-22","cited_by_count":1,"area":null},{"id":"2508.06548","title":"Factor Augmented Supervised Learning with Text Embeddings","created":"2025-08-06","cited_by_count":1,"area":null},{"id":"2511.14214","title":"Do Large Language Models (LLMs) Understand Chronology?","created":"2025-11-18","cited_by_count":1,"area":null},{"id":"2601.06088","title":"PriceSeer: Evaluating Large Language Models in Real-Time Stock Prediction","created":"2025-12-31","cited_by_count":1,"area":null},{"id":"2605.30393","title":"NumLeak: Public Numeric Benchmarks as Latent Labels in Foundation Models","created":"2026-05-28","cited_by_count":1,"area":null},{"id":"2607.12233","title":"Fin-Analyst at FinMMEval 2026 Task 3: A Live Hybrid Trading Agent with LLM Specialists and Rule-Based Signals","created":"2026-07-14","cited_by_count":1,"area":null},{"id":"2608.00939","title":"Temperature-driven inversion and nonlinear dynamics in ChatGPT-like AIs","created":"2026-08-02","cited_by_count":1,"area":null},{"id":"2309.03595","title":"Loquacity and Visible Emotion: ChatGPT as a Policy Advisor","created":"2023-09-07","cited_by_count":0,"area":null},{"id":"2404.18730","title":"CVTN: Cross Variable and Temporal Integration for Time Series Forecasting","created":"2024-04-29","cited_by_count":0,"area":null},{"id":"2411.08563","title":"Leveraging LLMs for Predictive Insights in Food Policy and Behavioral Interventions","created":"2024-11-13","cited_by_count":0,"area":null},{"id":"2508.06497","title":"Forecasting Commodity Price Shocks Using Temporal and Semantic Fusion of Prices Signals and Agentic Generative AI Extracted Economic News","created":"2025-07-24","cited_by_count":0,"area":null},{"id":"2509.04541","title":"Finance-Grounded Optimization For Algorithmic Trading","created":"2025-09-04","cited_by_count":0,"area":null},{"id":"2509.16707","title":"Increase Alpha: Performance and Risk of an AI-Driven Trading Framework","created":"2025-09-20","cited_by_count":0,"area":null},{"id":"2511.11315","title":"LAET: A Layer-wise Adaptive Ensemble Tuning Framework for Pretrained Language Models","created":"2025-11-14","cited_by_count":0,"area":null},{"id":"2602.12424","title":"RankLLM: Weighted Ranking of LLMs by Quantifying Question Difficulty","created":"2026-02-12","cited_by_count":0,"area":null},{"id":"2603.11408","title":"Beyond Polarity: Multi-Dimensional LLM Sentiment Signals for WTI Crude Oil Futures Return Prediction","created":"2026-03-12","cited_by_count":0,"area":null},{"id":"2605.06730","title":"Semantic State Abstraction Interfaces for LLM-Augmented Portfolio Decisions: Multi-Axis News Decomposition and RL Diagnostics","created":"2026-05-07","cited_by_count":0,"area":null},{"id":"2605.23007","title":"MadEvolve: Evolutionary Optimization of Trading Systems with Large Language Models","created":"2026-05-21","cited_by_count":0,"area":null},{"id":"2605.30363","title":"Enhancing Regime Shift Detection Using Unstructured Data: A Study on the Treasury Market","created":"2026-05-17","cited_by_count":0,"area":null},{"id":"2606.22719","title":"Leakage-Aware Benchmarking of LLM Forecasting: Real-Time Nowcasts as the Decision-Time Input for Macro Factor Ranking","created":"2026-06-21","cited_by_count":0,"area":null},{"id":"2607.09121","title":"Augmenting Fundamental Analysis with Large Language Models: A RAG-Based System for Generating Investor Briefs","created":"2026-07-10","cited_by_count":0,"area":null},{"id":"2607.15414","title":"AI Trading: Evaluating Large Language Models for Technical Market Analysis","created":"2026-07-16","cited_by_count":0,"area":null},{"id":"2607.20533","title":"Grounding Investor Views: Neural Predicates in the Black-Litterman Model","created":"2026-07-10","cited_by_count":0,"area":null},{"id":"2607.24072","title":"LLM-Based vs. Lexicon-Based Sentiment Signals for Tail-Risk Detection in Meme Stocks","created":"2026-07-27","cited_by_count":0,"area":null},{"id":"2607.28496","title":"Beyond Sentiment: Structured Information Extraction from Financial News","created":"2026-07-30","cited_by_count":0,"area":null},{"id":"2608.18911","title":"Converting Expert Deliberation into Financial Signals Through A Context-Aware NLP Pipeline","created":"2026-08-19","cited_by_count":0,"area":null},{"id":"2608.23308","title":"FIDES: A Concordance Protocol for LLM-Generated Trading Strategies","created":"2026-08-24","cited_by_count":0,"area":null},{"id":"2609.04917","title":"Artificial Intelligence in Equity and Crypto Markets: Progress, Profitability Evidence, and the Limits of Automated Investing","created":"2026-09-04","cited_by_count":0,"area":null},{"id":"2609.30316","title":"PALM: Point-in-Time Adaptation for Financial Language Models","created":"2026-09-02","cited_by_count":0,"area":null},{"id":"2609.38545","title":"Say, Echo, Do: Strategic Narratives and Revealed Positioning in Financial Markets","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2610.07798","title":"Thin Evidence, Thick Priors: How Language Models Substitute Identity for Missing Financial Facts","created":"2026-10-06","cited_by_count":0,"area":null},{"id":"2610.17130","title":"EvoQuantLab: Training-Free Dual-Loop Evolution for Auditable Quantitative Research","created":"2026-10-12","cited_by_count":0,"area":null},{"id":"2610.18435","title":"How Well Do LLMs Perform in Peer Review? Evidence from Finance and Accounting","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}