Welcome to Awesome-AI-in-Finance, a curated collection of high-quality papers exploring the intersection of Artificial Intelligence (AI) and Finance. This repository highlights groundbreaking research in Financial AI while also introducing potential AI Idea with the capacity to transform finance. Contributions are highly encouraged—feel free to suggest additions or improvements to enrich this growing resource!
- Double-Path Adaptive-correlation Spatial-Temporal Inverted Transformer for Stock Time Series Forecasting, KDD'25 [Paper]
- Automatic De-Biased Temporal-Relational Modeling for Stock Investment Recommendation, IJCAI'24 [Paper]
- Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models, ArXiv'24 [Paper]
- CI-STHPAN: Pre-trained Attention Network for Stock Selection with Channel-Independent Spatio-Temporal Hypergraph, AAAI'24 [Paper]
- FinReport: Explainable Stock Earnings Forecasting via News Factor Analyzing Model, WWW'24 [Paper]
- From News to Forecast: Iterative Event Reasoning in LLM-Based Time Series Forecasting, NeurIPS'24 [Paper]
- Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models, WWW'24 [Paper]
- MANA-Net: Mitigating Aggregated Sentiment Homogenization with News Weighting for Enhanced Market Prediction, CIKM'24 [Paper]
- MASTER: Market-Guided Stock Transformer for Stock Pricing Forecasting, AAAI'24 [Paper] [Code]
- Modeling and Detecting Company Risks from News, NAACL’24 [Paper]
- RSAP-DFM: Regime-Shifting Adaptive Posterior Dynamic Factor Model for Stock Returns Prediction, IJCAI'24 [Paper]
- Temporal Relational Reasoning of Large Language Models for Detecting Stock Portfolio Crashes, ArXiv'24 [Paper]
- Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling, IJCAI'24 [Paper]
- FreQuant: A Reinforcement-Learning based Adaptive Portfolio Optimization with Multi-frequency Decomposition, KDD'24 [Paper]
- Mitigating Extremal Risks: A Network-Based Portfolio Strategy, ArXiv'24 [Paper]
- Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools, WWW'24 [Paper]
- Temporal Representation Learning for Stock Similarities and Its Applications in Investment Management, ArXiv'24 [Paper]
- Automate Strategy Finding with LLM in Quant Investment, ArXiv'24 [Paper]
- Can Large Language Models Mine Interpretable Financial Factors More Effectively? A Neural-Symbolic Factor Mining Agent Model, ACL’24 [Paper]
- Hierarchical Reinforced Trader (HRT): A Bi-Level Approach for Optimizing Stock Selection and Execution, ArXiv'24 [Paper]
- IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making, IJCAI'24 [Paper]
- MacMic: Executing Iceberg Orders via Hierarchical Reinforcement Learning, IJCAI'24 [Paper]
- MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading, KDD'24 [Paper]
- StockFormer: Learning Hybrid Trading Machines with Predictive Coding, IJCAI'23 [Paper]
- A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist, KDD'24 [Paper]
- CryptoTrade: A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading, EMNLP'24 [Paper]
- EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities, ACL'24 [Paper] [Code]
- Enhancing Investment Analysis: Optimizing AI-Agent Collaboration in Financial Research, ICAIF'24 [Paper]
- FINCON: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making, NeurIPS'24 [Paper]
- FinRobot: AI Agent for Equity Research and Valuation with Large Language Models, ArXiv'24 [Paper]
- QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model, ArXiv’24 [Paper]
- The Effect of Liquidity on the Spoofability of Financial Markets, ICAIF’24 [Paper]
- When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments, ArXiv'24 [Paper] [Code]
- Fino1: On the Transferability of Reasoning Enhanced LLMs to Finance, Arxiv'25 [Paper]
- Evaluating LLMs’ Mathematical Reasoning in Financial Document Question Answering, ACL’24 [Paper]
- FinQAPT: Empowering Financial Decisions with End-to-End LLM-driven Question Answering Pipeline, ICAIF’24 [Paper]
- LLM economicus? Mapping the Behavioral Biases of LLMs via Utility Theory, COLM’24 [Paper]
- Do We Need Domain-Specific Embedding Models? An Empirical Investigation, Arxiv’24 [Paper] [Code]
- FNSPID: A Comprehensive Financial News Dataset in Time Series, KDD'24 [Paper] [Code]
- Large Language Models as Financial Data Annotators: A Study on Effectiveness and Efficiency, COLING'24 [Paper]
- Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context, AAAI'24 [Paper] [Code]
- UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models, Arxiv’24 [Paper] [Code]
- A Survey of Financial AI: Architectures, Advances and Open Challenges, ArXiv'24 [Paper]
- A Survey of Large Language Models in Finance (FinLLMs), ArXiv'24 [Paper]
- Large Language Model Agent in Financial Trading: A Survey, ArXiv'24 [Paper]
- Revolutionizing Finance with LLMs: An Overview of Applications and Insights, ArXiv'24 [Paper]
- EmbedLLM: Learning Compact Representations of Large Language Models, ICLR'25 [Paper]
- Embedding-Aligned Language Models, NeurIPS'24 [Paper]
- Demystifying Embedding Spaces using Large Language Models, ICLR'24 [Paper]
- Understanding LLM Embeddings for Regression, DeepMind'24 [Paper]
- Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models, ICLR'25 [Paper]
- LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations, ICLR'25 [Paper]
- Arithmetic Without Algorithms: Language Models Solve Math With a Bag of Heuristics, ArXiv'24 [Paper]
- Are Language Models Actually Useful for Time Series Forecasting?, NeurIPS'24 [Paper]
- In-Context Language Learning: Architectures and Algorithms, ICML'24 [Paper]
- Large Language Models Are Not Robust Multiple Choice Selectors, ICLR'24 [Paper]
- Large Language Models Cannot Self-Correct Reasoning Yet, ICLR'24 [Paper]
- Looking Inward: Language Models Can Learn About Themselves by Introspection, ICLR'24 [Paper]
- Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models, ArXiv'24 [Paper]
- Scaling Laws for Precision, ArXiv'24 [Paper]
- The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities, ArXiv'24 [Paper]
- Training Large Language Models to Reason in a Continuous Latent Space, Meta'24 [Paper]
- When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method, ICLR'24 [Paper]
- Self-Consistency Improves Chain of Thought Reasoning in Language Models, ICLR'23 [Paper]
- QLORA: Efficient Finetuning of Quantized LLMs, NeurIPS'23 [Paper]
- Chain-of-Thought Prompting Elicits Reasoning in Large Language Models, NeurIPS'22 [Paper]
- Improving Retrieval Augmented Language Model with Self-Reasoning, AAAI'25 [Paper]
- Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models, Arxiv'25 [Paper]
- Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG, Arxiv'24 [Paper]
- Retrieval meets Long Context Large Language Models, ICLR'24 [Paper]
- SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs, ICLR'24 [Paper]
- MegaAgent: A Practical Framework for Autonomous Cooperation in Large-Scale LLM Agent Systems, AAAI'25 [Paper]
- AFlow: Automating Agentic Workflow Generation, Arxiv'24 [Paper]
- Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models, Arxiv'24 [Paper]
- Agentic Information Retrieval, Arxiv'24 [Paper]
- Can Graph Learning Improve Planning in LLM-based Agents?, NeurIPS'24 [Paper]
- Mixture-of-Agents Enhances Large Language Model Capabilities, Arxiv'24 [Paper] [Code]
- MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework, ICLR'24 [Paper] [Code]
- Offline Training of Language Model Agents with Functions as Learnable Weights, ICML'24 [Paper]
- Large Language Models as Commonsense Knowledgefor Large-Scale Task Planning, NeurIPS'23 [Paper]
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@misc{Awesome-AI-in-Finance@2024,
title={Awesome-AI-in-Finance},
author={Hoyoung Lee},
url={https://github.com/ihobbang250/Awesome-AI-in-Finance},
year={2024}
}
@article{liu2024survey,
title={A Survey of Financial AI: Architectures, Advances and Open Challenges},
author={Liu, Junhua},
journal={arXiv:2411.12747},
url={https://github.com/junhua/awesome-finance-ai-papers/},
year={2024},
publisher={arXiv}
}