ReguSim: Evaluating LLM Agent Rule Grounding in Financial Compliance
cs.AI
Submitted: 2026-08-20
Updated: 2026-10-12
Terminology
Sources
- FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation
- TradExpert: Revolutionizing Trading with Mixture of Expert LLMs
- Agent-Based Simulation of a Financial Market with Large Language Models
- Replayable Financial Agents: A Determinism-Faithfulness Assurance Harness for Tool-Using LLM Agents
- Legal-DC: Benchmarking Retrieval-Augmented Generation for Legal Documents
- FinGPT: Democratizing Internet-scale Data for Financial Large Language Models
- Can Large Language Models Trade? Testing Financial Theories with LLM Agents in Market Simulations
- Fraud Detection in Cryptocurrency Markets with Spatio-Temporal Graph Neural Networks
- Audit Trails for Accountability in Large Language Models
- StockSim: A Dual-Mode Order-Level Simulator for Evaluating Multi-Agent LLMs in Financial Markets
- Hide-and-Shill: A Reinforcement Learning Framework for Market Manipulation Detection in Symphony-a Decentralized Multi-Agent System
- Protecting Retail Investors from Order Book Spoofing using a GRU-based Detection Model
- Automated Benchmark Auditing for AI Agents and Large Language Models
- From Agent Traces to Trust: A Survey of Evidence Tracing and Execution Provenance in LLM Agents
- BloombergGPT: A Large Language Model for Finance
- TradingAgents: Multi-Agents LLM Financial Trading Framework
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