Accepted Papers

White Box Finance: Interpreting AI Decisions in Finance through Rules and Language Models

Femi Azeez, Samson Tontoye

Democratizing Alpha: LLM-Driven Portfolio Construction for Retail Investors Using Public Financial Media

Daesan Oh, Taehwan Kim, Junkyu Jang, Sung-Hyuk Park

Context-Masked Meta-Prompting for Privacy-Preserving LLM Adaptation in Finance

Sayash Raaj Hiraou

Toward the next generation of stock movement prediction: GenAI-based multimodal stock movement prediction model

Daesan Oh, Junkyu Jang, Chang Hwan Sung, Dongwon Lee, Sung-Hyuk Park

InterpDetect: Interpretable Signals for Detecting Hallucinations in Financial Question Answering

Likun Tan, Kuan-Wei Huang, Joy Shi, Kevin Wu

EconWebArena: Benchmarking Autonomous Agents on Economic Tasks in Realistic Web Environments

Zefang Liu, Yinzhu Quan

EvoAlpha: Evolutionary Alpha Factor Discovery with Large Language Models

Haochen Luo, Ho Tin Ko, David Sun, Yuan Zhang, Chen Liu

Kronos: A Foundation Model for the Language of Financial Markets

Yu Shi, Zongliang Fu, Shuo Chen, Bohan Zhao, Wei Xu, Changshui Zhang, Jian Li

Stress-Aware Scenario Generation for Reliable Portfolio Inference under Regime Shifts

Gabriel Nixon

CRMAgent: A Multi-Agent LLM System for E-Commerce CRM Message Template Generation

Yinzhu Quan, Xinrui Li, Ying Chen

FACTS: Fast, Accurate, and Privacy-Compliant Table Summarization via Offline Template Generation

Ye Yuan, Mohammad Amin Shabani, Siqi Liu

eFinBERT: Efficient Financial Sentiment Classification

Aisha Hamad Hassan, Tushar Shinde

Chatting With Your Data: LLM-Enabled Data Transformation for Enterprise Text to SQL

Vulqan.ai, Sara Mani Kapoor, Soumya Banerjee

CTBench: Cryptocurrency Time Series Generation Benchmark

Yihao Ang, Qiang Wang, Qiang Huang, Yifan Bao, Xinyu Xi, Anthony Kum Hoe Tung, Chen Jin, Zhiyong Huang

CMS-VAE: A Strategy-aware Variational AutoEncoder for High-Fidelity Crypto Market Simulation

Yihao Ang, Yifan Bao, Qiang Huang, Qiang Wang, Xinyu Xi, Shuyu Lu, Anthony Kum Hoe Tung, Zhiyong Huang

Compliant Generative Diffusion for Finance

Michael Cardei, Jose M Munoz, Oscar Barrera, Shreyas K Chandrahas, Partha Saha

RAMuST: A Regime-Aware Multiscale and Mixed-Frequency Transformer for Industry-Level Corporate Income Tax Forecasting

Taewan You

Structured Agentic Workflows for Financial Time-Series Modeling with LLMs and Reflective Feedback

Yihao Ang, Yifan Bao, Lei Jiang, Jiajie Tao, Anthony Kum Hoe Tung, Lukasz Szpruch, Hao Ni

Robust Decisions via Generative Wasserstein Distributionally Robust Optimization

Han Xu, Christopher Yeh

FISCAL: Financial Synthetic Claim–document Augmented Learning for Efficient Fact-Checking

Rishab Sharma, Iman Saberi, Elham Alipour, Jie JW Wu, Fatemeh Fard

FinAgentBench: A Benchmark Dataset for Agentic Retrieval in Financial Question Answering

CHANYEOL CHOI, Jihoon Kwon, Alejandro Lopez-Lira, Chaewoon Kim, Minjae Kim, Juneha Hwang, Jaeseon Ha, Hojun Choi, Suyeol Yun, Yongjin Kim, Yongjae Lee

NLP-Driven Proxy Retrieval for Illiquid Bond Pricing

Arturo Oncevay, Joy Prakash Sain, Chen Ling, Simerjot Kaur, Charese Smiley, Xiaomo Liu, Manuela Veloso

Enhancing Foundation Models in Transaction Understanding with LLM-based Sentence Embeddings

Xiran Fan, Zhimeng Jiang, Chin-Chia Michael Yeh, Yuzhong Chen, Yingtong Dou, Menghai Pan, Yan Zheng

Towards Scalable Meta-Learning of near-optimal Interpretable Models via Synthetic Model Generations

Kyaw Hpone Myint, Zhe Wu, Alexandre G.R. Day, Giri Iyengar

DELPHYNE: A Pre-Trained Model for General and Financial Time Series

Xueying Ding, Aakriti Mittal, Achintya Gopal

VCAF: A Multi-Agent Framework for Venture Capital Decision-Making Using Synthetic Startup Data

Cheng Meixin, Zeqi Zhou, Yijia Xiao, Weihao Xuan, Xiangru Tang, Xu Huang, Tinson Xu, Zerui Xu, Jure Leskovec, Yejin Choi, Fang Wu

GRAB: A Risk Taxonomy--Grounded Benchmark for Unsupervised Topic Discovery in Financial Disclosures

Ying Li, Tiejun Ma

Auditing Algorithmic Bias in Transformer-Based Trading

Armin Gerami, Ramani Duraiswami

LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra

Seth Karten, Wenzhe Li, Zihan Ding, Samuel Kleiner, Yu Bai, Chi Jin

Evasive Answers in Financial Q&A: Earnings Calls vs. FOMC Press Conferences

Khaled AlNuaimi, Gautier Marti, Alexis Marchal, Mohamad Alansari, Andreas Henschel

Privacy-Preserving Financial Fraud Detection: Challenges and Solutions with Generative Models, Lifetime-Aware Detection, and Federated Boosting

Dae-Young Park, Jaeyoung Cheong, Jingwan Ha, Minsoo Park, Ohyeon Kwon, Saebitna Oh, Youngjun Kwak, In-Young Ko, Kyeongkyu Kim

Solving dynamic portfolio selection problems via score-based diffusion models

Ahmad Aghapour, Erhan Bayraktar, Fengyi Yuan

pySigLib - Fast Signature Kernels on CPU and GPU

Daniil Shmelev, Cristopher Salvi

Deep Heckman for Loan Evaluation

Lin William Cong, Yanhong Guo, Xin Zhao, Wenjun Zhou

Uncovering Representation Bias for Investment Decisions in Open-Source Large Language Models

Fabrizio Dimino, Krati Saxena, Bhaskarjit Sarmah, Stefano Pasquali

FinReflectKG - EvalBench: Benchmarking Financial KG with Multi-Dimensional Evaluation

Fabrizio Dimino, Abhinav Arun, Bhaskarjit Sarmah, Stefano Pasquali

Mitigating Model Drift in Developing Economies Using Synthetic Data and Outliers

Ilyas Varshavskiy, Bonu Boboeva, Shuhrat Khalilbekov, Azizjon Azimi, Sergey Shulgin, Akhlitdin Nizamitdinov, Haitz Sáez de Ocáriz Borde

FinFlowRL: An Imitation-Reinforcement Learning Framework for Adaptive Stochastic Control in Finance

Yang Li, Zhi Chen, Steve Yang, Ruixun Zhang

Systemic Risk and Bank Networks: The Use of a Knowledge Graph with Generative Artificial Intelligence

Xiaohu Zhang

FinReflectKG - MultiHop: Financial QA Benchmark for Reasoning with Knowledge Graph Evidence

Abhinav Arun, Reetu Raj Harsh, Bhaskarjit Sarmah, Stefano Pasquali

FINCH: Financial Intelligence using Natural language for Contextualized SQL Handling

Avinash Kumar Singh, Bhaskarjit Sarmah, Stefano Pasquali

The Losing Winner: An LLM Agent That Predicts the Market but Loses Money

Youwon Jang, Joochan Kim, Byoung-Tak Zhang

Multi-Trajectory Physics-Informed Neural Networks for HJB Equations with Hard-Zero Terminal Inventory: Optimal Execution on Synthetic & SPY Data

Anthime Valin

A Practical Taxonomy for Finance-Specific LLM Risk Detection and Monitoring

Owen O'Neill, Rajitha Ramanayake, Abhishek Mandal, Urja Pawar, Will Flanagan, Houssem Chatbri, Christopher Martin

Regulatory Risk as a Financial Factor: An LLM-Derived Index of Cross-Border Data Restrictions

Siqi Chen

Aegis: Uncertainty-Aware Governance for AI-Generated Signals

Yi-Ting Chiu

QuantMind: A Context-Engineering Based Knowledge Framework for Quantitative Finance

Haoxue Wang, Keli Wen, Yuante Li, Qiancheng Qu, Xiangxu Mu, Xinjie Shen, Jiaqi Gao, Chenyang Chang, Chuhan Xie, San Yu Cheung, Zhuoyuan Hu, Xinyu Wang, Sirui Bi, Bi'an Du

Startup Success Forecasting Framework (SSFF): A Multi-Agent Framework for Startup Success Prediction

Xisen Wang, Yigit Ihlamur, Fuat Alican

Diffusion-Augmented Reinforcement Learning for Robust Portfolio Optimization under Stress Scenarios

Himanshu Choudhary, Arishi Orra, Manoj Thakur

LOBERT: Generative AI Foundation Model for Limit Order Book Messages

Eljas Linna, Kęstutis Baltakys, Alexandros Iosifidis, Juho Kanniainen

A Generative Probabilistic Approach for Goal-Based Portfolio Optimization

Tessa Bauman, Sven Goluža, Lovre Mrčela, Stjepan Begušić, Zvonko Kostanjcar

Illusion of Control: Exploring the Limits of Human-in-the-Loop Oversight in Generative Finance

Azmine Toushik Wasi, Enjamamul Haque Eram

Factor-Based Conditional Diffusion Model for Portfolio Optimization

Mengying He, Xuedong He, Xuefeng Gao

HashMark: Watermarking Tabular/Synthetic Data For Machine Learning Via Cryptographic Hash Functions

Harish Karthikeyan, Leo de Castro, Antigoni Polychroniadou, Manuela Veloso, Tucker Balch

Behavioral Economics of AI: LLM Biases and Corrections

Pietro Bini, Lin William Cong

Generating Time Series by Matching Random Convolutional Features

Nikita Zozoulenko, Konrad Jakob Mueller, Thomas Cass, Lukas Gonon

A Methodology for Assessing the Risk of Metric Failure in LLMs Within the Financial Domain.

Will Flanagan, Mukunda Kurukundi Das, Rajitha Ramanayake, Swanuja Ashwinikumar Maslekar, Meghana Mangipudi, Jeel Dharmeshkumar Shah, Joong Ho Choi, Shruti Nair, Shambhavi Bhushan, Sanjana Dulam, Mouni Pendharkar, Nidhi Singh, Vashishth Doshi, Sachi Paresh Shah

Conditional Sampling from Frozen Generative Models: From Explicit Rules to Example-Based Guidance

Niccolo Dalmasso, Vamsi K. Potluru, Manuela Veloso

Prospects of Imitating Trading Agents in the Stock Market

Mateusz Wilinski, Juho Kanniainen

Orchestration Framework for Financial Agents: From Algorithmic Trading to Agentic Trading

Jifeng.LI, Arnav Grover, Abraham Alpuerto, Yupeng Cao, Xiao-Yang Liu

Adaptive Constrained Optimization for Tabular Synthetic Data Generation

Saheed Obitayo, Niccolo Dalmasso, Vamsi K. Potluru, Manuela Veloso

FinCARE: Financial Causal Analysis with Reasoning & Evidence

Alejandro Michel Zuniga, Abhinav Arun, Bhaskarjit Sarmah, Stefano Pasquali

Human Preference Alignment in Financial Advice: A Generative AI Approach

Tatiana Botskina

Sparse Reasoning Chains: Generating Faithful and Coherent Explanations for LLMs in Financial Risk Assessment

Kunhan Wu, Zhaoqi Cheng, Dokyun Lee

Generative Diffusion Models for High-Dimensional Time Series

Riya Danait, Rama CONT

Standard Market Environments for Financial Reinforcement Learning

Chunlin Feng, Lijian Huang, Keyi Wang, Yupeng Cao, Ming Zhu, Jiechao Gao, Xiao-Yang Liu

FedSight AI: Multi-Agent System for Federal Funds Target Rate Prediction

Adler Viton, Tianji Rao, Yuhan Hou, Jeremy Matthew Tan, Xiyue Zhang, David Ye, Abhishek Kodi, Sanjana Dulam, Aditya Paul, Yikai Feng

Gradient-Based Bilevel Optimization for Principal–Agent Contract Design

Aarya Bookseller, Korok Ray, Tomer Galanti

NoLBERT: A No Lookahead(back) Foundational Language Model

Peiyao Li, Ali Kakhbod

Structuring News, Shaping Alpha: RL-Enhanced LLMs in a Hybrid Framework for Event Driven Financial Forcasting

Haohan Zhang, Saizhuo Wang, Hao Kong, Baozhu Shang

Shift-Aware Gaussian-Supremum Validation for Wasserstein-DRO CVaR Portfolios

Derek Long

The Automated but Risky Game: Modeling Agent-to-Agent Negotiations and Transactions in Consumer Markets

Shenzhe Zhu, Jiao Sun, Yi Nian, Tobin South, Alex Pentland, Jiaxin Pei

Risko1: Reasoning for Risk Management Governed by Structural Constraints

Marco Molinari, Deasy Darlene Tunas, Saharsha Navani, Tianyu Gao

MASFIN: A Multi-Agent System for Decomposed Financial Reasoning and Forecasting

Marc Sebastian Montalvo, Hamed Yaghoobian

A Fast and Effective Solution to the Problem of Look-ahead Bias in LLMs

Humzah Merchant, Bradford Levy

Identifying Financial Risk Information with Contrastive Reasoning

Ali Elahi

Market-Dependent Communication in Multi-Agent Alpha Generation

Jerick Shi

FinAudio: A Benchmark for Audio Large Language Models in Financial Applications

Yupeng Cao, Haohang Li, Yangyang Yu, Shashidhar Reddy Javaji, Yueru He, Jimin Huang, Qianqian Xie, Xiao-Yang Liu, K.P. Subbalakshmi, Meikang Qiu, Sophia Ananiadou, Jian-Yun Nie

Using Generative AI to Retrieve and Analyze CEO Compensation Consultant Information from Public Corpora

Kwan Sean Lee

Controllable Financial Market Generation with Diffusion Guided Meta Agent

Yu-Hao Huang, Chang Xu, Yang Liu, Weiqing Liu, Wu-Jun Li, Jiang Bian

Reasoning-Guided Evolutionary Prompt Optimization for Improved Financial Problem Solving

Leandro A. Loss, Pratikkumar Dhuvad

Financial TimeSeries Reasoning Benchmarks at Scale

Malgorzata Gwiazda, Yifu Cai, Mononito Goswami, Artur Dubrawski

Algorithmic Trading vs Human-Led Strategies: Performance, Risks, and a Hybrid Path Forward

Pratik Kumar

Is All the Information in the Price? LLM Embeddings versus the EMH in Stock Clustering

Bingyang Wang, Grant Johnson, Tucker Balch, Maria Hybinette

Data-Efficient Realized Volatility Forecasting with Vision Transformers

Emi Soroka, Artem Arzyn

From Similarity to Consequences: Decision-Oriented Evaluation of Market Digest Generation

Yu-Shiang Huang, Chuan-Ju Wang, Chung-Chi Chen

zkFinGPT: Zero-Knowledge Proofs for Financial Generative Pre-trained Transformers

Ningjie Li, Keyi Wang, Xiaoli Zhi, Weiqin Tong, Xiao-Yang Liu

Confidence-Gated LLM Synthesis for Enhanced Multi-Class Sentiment Analysis in Financial Texts

YongKyung Oh, Jaesun Yeom

Operationalising LLMs for Compliance-Critical Letter Writing in Financial Services

Devesh Batra, Alexandros Anatolakis, John Hartley, Jude King, Greig A Cowan, Raad Khraishi

FinZero: Launching Multimodal Financial Time-Series Reasoning

Yanlong Wang, Jian Xu

MASCA: LLM-based Multi-Agent System for Credit Assessment

Gautam Jajoo, Atharva Pandey, Pranjal A Chitale

Are Foundation Models Useful for Bankruptcy Prediction?

Marcin Kostrzewa, Oleksii Furman, Roman Furman, Sebastian Tomczak, Maciej Zieba

Instruction Following for Finance: Verifying language models’ ability to follow complex financial instructions

Glenn Matlin, Siddharth, Anirudh JM, Aditya Shukla, Yahya Hassan, Sudheer Chava

A Transformer Architecture for Learning Trading Strategies

Chris Mascioli, Michael P. Wellman

Risk-Sensitive Q-Learning in Continuous Time with Application to Dynamic Portfolio Selection

Chuhan Xie

AuditCopilot: Leveraging LLMs for Fraud Detection in Double-Entry Bookkeeping

Md Abdul Kadir, Sai Suresh Macharla Vasu, Sidharth S. Nair, Daniel Sonntag

Neural Generative Modeling of Order Statistics

Jean Pachebat

FRED Guard: Efficient Financial Compliance Detection with ModernBERT

Joy Shi, Kuan-Wei Huang, Kevin Wu, Likun Tan

Scenario Generation and Stress Testing for Cryptocurrency Markets using GAN and Diffusion-Based Generative Models

Hassan OUKHOUYA

Data-driven Feynman–Kac Discovery with Applications to Prediction and Data Generation

Qi Feng, Guang Lin, Purav Matlia, Denny Serdarevic