Accepted Papers

Mining Intraday Risk Factor Collections via Hierarchical Reinforcement Learning based on Transferred Options
Evaluating Binary Decision Biases in Large Language Models: A Framework for Agent-Based Financial Simulations
Improving DeFi Accessibility through Efficient Liquidity Provisioning with Deep Reinforcement Learning
Oblique Trees for Forecasting Single-Stock Options Implied Volatility Surfaces
Incrementally Verifiable Signatures: A Cryptographic Solution against Deepfakes for Model and Data Integrity
Leveraging Macroeconomic Indicators and LLM-Derived Social Media Sentiment for Sector Correlation Analysis
LLM-Based Routing in Mixture of Experts: A Novel Framework for Trading
Tailored Truths: Personalization, Falsehoods, and the Persuasive Power of LLMs
ViMGuard: A Novel Multi-Modal System for Video Misinformation Guarding
A Weighted Similarity Metric for Community Detection in Sparse Data
CLOUD-CG: Clustering on Longitudinal Causal Graphs
How to Choose a Threshold for an Evaluation Metric for Large Language Models
Exploring Visual Embedding Spaces Induced by Vision Transformers for Online Auto Parts Marketplaces
Exploring Sentiment Manipulation by LLM-Enabled Intelligent Trading Agents
Comparing LLM Text Annotation Skills: A Study on Human Rights Violations in Social Media Data
Detecting Human Rights Violations on Social Media Using Machine Learning
FraudCenGCL: Enhancing Fraud Detection via Dual-View Graph Contrastive Learning with Account Centrality Features

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