Financial Decision-Making

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3 papers in the last four weeks, down 50% on the four weeks before. 0.0% of all new papers.

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Latest papers 31

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Agent Memory with Episodic Retrieval for Financial Decision-Making
Sep 23, 2026Nuoyue Xu, Jiang Liu, Wenxuan Huang +3Multi-Agent LLM Systems LLM Agent Memory
University of British Columbia · University of Science and Technology of China · Fudan University +1
Trustworthy FinAInce: Unpacking How AI-Mediated Financial Advice is Judged
Sep 17, 2026Aryan Ramchandra Kapadia, Eshwar Chandrasekharan, Koustuv SahaTrust in AI Human-AI Decision Making
University of Illinois Urbana-Champaign, Urbana, IL, USA
Are LLMs Good Financial User Simulators? A Preliminary Study
Sep 14, 2026Jiajie He, Jiangyuan Hong, Dongling Ni +2LLM Evaluation Human Behavior Simulation
1Hithink Research · 2Nanyang Technological University · 3McMaster University
The Analyst in the Prompt: Role, Retrieval, and Memory Biases in LLM Financial Analysis
Sep 2, 2026Ahmed Asaad, Amr Mohamed, Yang Zhang +1LLM Evaluation LLM Auditing
Durham University Business School · MBZUAI & Ecole Polytechnique · Ecole Polytechnique +1
GRPO for Financial Advice Generation: Outperforming Commercial LLMs under CATE Evaluation
Aug 12, 2026Ofir Ben Shoham, Shrutendra Harsola, Vignesh Subrahmaniam +3AI-Assisted Decision Making LLM-as-a-Judge
Intuit
Financial Numerical Prediction and Allocation as Token Generation
Aug 10, 2026Xu Ouyang, Moontae LeeQuantitative Finance Financial Forecasting
University of Illinois Chicago
Observational Policy Ranking for SMB Financial Guidance from Multi-Action Accounting Logs
Aug 10, 2026Shrutendra Harsola, Vignesh Subrahmaniam, Vikas Raturi +7Causal Effect Estimation Conditional Average Treatment Effect Estimation
1Foresight-AI, Intuit
How Simple Can It Get? From Interpretable Equations to Readable Rules for Financial Decision Making
Aug 10, 2026Adia Lumadjeng, Ilker Birbil, Erman AcarInterpretable ML Explainability Evaluation
University of Amsterdam Amsterdam, the Netherlands
How People Evaluate AI-, Expert-, and Peer-Style Financial Advice
Aug 10, 2026Aryan Ramchandra Kapadia, Eshwar Chandrasekharan, Koustuv SahaHuman-AI Interaction Human-AI Decision Making
University of Illinois Urbana-Champaign, USA
Evaluating Investment Logic in Large Language Models: A Real-World Benchmark Towards Personalzied Financial Agents
Aug 6, 2026Yuanhong Jiang, Jingjie Zou, Zhenghong Lin +4AI-Assisted Decision Making LLM Agent Evaluation
An Emerging Retail Portfolio Management Application: Personalized, Tax-Aware Reinforcement Learning with Natural Language Goals
Aug 5, 2026Ramin PishehvarReinforcement Learning Portfolio Optimization
ShiJianBench: From Dialogue to Decision for Long-Horizon Evaluation of Investment Advisors
Aug 2, 2026Jie Gong, Maowei Jiang, Zhiwei Liu +14Financial Services Long-Horizon Agent Evaluation
School of Artificial Intelligence, Wuhan University · Nanjing Audit University · The University of Manchester +3
A Persona-based Rate Action Index
Jul 29, 2026Hayden Helm, Andrew DassoriPersonality Modeling in Language Models Time Series Forecasting
Helivan · Wavelength Capital
Fund2Persona: A Framework for Building and Refining Financial Advisor Personas from Fund Disclosure Data
Jun 29, 2026Suhwan Park, Hoyoung Lee, Zhangyang Wang +5Financial Services LLM Personalization
UNIST · LinqAlpha · University of Texas at Austin +3
When Summaries Distort Decisions: Information Fidelity in LLM-Compressed Financial Analysis
Jun 28, 2026Hoyoung Lee, Suhwan Park, Seunghan Lee +15LLM Compression LLM Auditing
UNIST · LinqAlpha · LG AI Research +9
InvestPhilBench: A Multi-Layer Benchmark for Evaluating Large Language Model Procedural Reasoning in Expert Investment Philosophy
Jun 24, 2026Mingguang Chen, Bo QuLLM Evaluation Finance
University of California, Riverside (UCR). · 2Illinois Institute of Technology (IIT).
MacroLens: A Multi-Task Benchmark for Contextual Financial Reasoning under Macroeconomic Scenarios
Jun 23, 2026Patara Trirat, Jin Myung Kwak, Jay Heo +2Quantitative Finance Financial Forecasting
KAIST
Interpretable Factor Decomposition for Decision Intelligence in Large-Scale Financial Markets: Evidence from China's A-Share Market
Jun 11, 2026Xiao Han, Yao Xiao, Zhen Zhang +1Quantitative Finance Interpretable ML
Goizueta Business School Emory University Atlanta, GA, USA · College of Computing Georgia Institute of Technology Atlanta, GA, USA · School of Data Science University of Pennsylvania Philadelphia, PA, USA +1
DFAH-Bench: Benchmarking Observable Agent Instability in Financial Decision-Making
Jun 10, 2026Raffi KhatchadourianAgent Evaluation AI Agent Benchmarks
IBM Financial Services Market New York, NY, USA
Dynamic Objective Selection with Safeguards and LLM Oversight for Financial Decision-Making
Jun 2, 2026Keigo Sakurai, Takahiro Ogawa, Miki Haseyama +2Quantitative Finance Sequential Decision Making
Hokkaido University · Nomura Asset Management Co., Ltd. · Kobe University +1
Auditing Asset-Specific Preferences in Financial Large Language Models: Evidence from Bitcoin Representations and Portfolio Allocation
Jun 1, 2026Wenbin WuLLM Auditing LLM Decision-Making
Cambridge Centre for Alternative Finance, University of Cambridge
Point-in-Time Financial RAG with Frozen LLMs and Market-Feedback Adaptive Retrieval
May 29, 2026Zijie Zhao, Roy E. WelschRetrieval-Augmented Generation Quantitative Finance
Massachusetts Institute of Technology · Cambridge, MA, USA
FinBoardBench: Benchmarking Dynamic Wealth Management and Strategic Financial Reasoning of LLMs via Board Game Simulations
May 27, 2026Xuesi Hu, Peng Wang, Jinpeng Miao +7LLM Evaluation Finance
School of Computer Science and Engineering, Macau University of Science and Technology, Macau, China · School of Economics, Anhui University, Anhui, China · SKLPlanets, Macau University of Science and Technology, Macau, China +2
Mechanical Enforcement for LLM Governance:Evidence of Governance-Task Decoupling in Financial Decision Systems
May 14, 2026José Manuel de la Chica Rodríguez, Carlos Martí-GonzálezLLM Auditing LLM Safety
1Santander AI Lab, Grupo Santander
Herculean: An Agentic Benchmark for Financial Intelligence
May 14, 2026Xueqing Peng, Zhuohan Xie, Yupeng Cao +60Financial Services LLM Agent Evaluation
FIND: Toward Multimodal Financial Reasoning and Question Answering for Indic Languages
May 13, 2026Sarmistha Das, Vaibhav Vishal, Syed Ibrahim Ahmad +2Financial Services Financial QA
Indian Institute of Technology Patna, India · Microsoft, India
KellyBench: A Benchmark for Long-Horizon Sequential Decision Making
Apr 30, 2026Thomas Grady, Kip Parker, Iliyan Zarov +3Sequential Decision Making Long-Horizon Agent Evaluation
General Reasoning, Inc.
Model-Free Inference of Investor Preferences: A Relative Entropy IRL Approach
Apr 27, 2026Chen XuReward Modeling Reinforcement Learning
Department of Engineering, Shenzhen MSU-BIT University. Address: 1 International University Park Road, Longgang District, Shenzhen, Guangdong, China.
One Size Fits None: Heuristic Collapse in LLM Investment Advice
Apr 26, 2026Jillian Ross, Andrew W. LoFinancial Services LLM Auditing
Computer Science and Artificial Intelligence Laboratory · Massachusetts Institute of Technology · Cambridge, MA, USA +1
Machine Learning Classification and Portfolio Construction: Does the Loss Function Matter?
Aug 4, 2021Yang Bai, Kuntara PukthuanthongQuantitative Finance Classification
College of Business and Economics, California State University, Fullerton · Trulaske Sr. College of Business, University of Missouri

Sep 23, 2026, cs.AIJ/K move · Enter open · S save

Agent Memory with Episodic Retrieval for Financial Decision-Making

Nuoyue Xu, Jiang Liu, Wenxuan Huang, Xiang Zhang+2

University of British Columbia · University of Science and Technology of China · Fudan University+1

Multi-Agent LLM Systems LLM Agent Memory Algorithmic Trading Financial Decision-Making Memory-Augmented Language Model Agents

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Large language models (LLMs) have demonstrated strong capabilities in financial analysis and reasoning, inspiring recent advances in agent-based trading frameworks. While these systems show promise, prior approaches either emphasize long-horizon forecasting or operate as stateless analyzers, limiting their applicability to the demands of trading in complicated settings. To address these gaps, we introduce META (Memory Enhanced Trading Agent), the first RAG-like episodic-memory-augmented multi-agent framework for financial decision making. META integrates a family of specialized indicator agents (e.g., Trend, MACD, Stochastic, RSI, SMA, AVWAP, Heikin-Ashi) with a Decision Agent that fuses their reports, and a Memory module that retrieves and updates past trading episodes encoded as market state embeddings with outcomes and reflections. By recalling relevant experiences and adaptively reweighting signals under similar market regimes, META achieves improved directional accuracy and robustness under short-horizon evaluation. Our results demonstrate that episodic memory provides a powerful mechanism for regime-aware, interpretable, and low-latency decision-making in trading and decision making. The code of this project is released on GitHub.

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