FIELD NOTES TOPIC
ai in finance
3 notes, newest first.
ReguSim: Evaluating LLM Agent Rule Grounding in Financial Compliance
Researchers have introduced ReguSim, a controlled financial-compliance environment, and ReguBench, a monitoring benchmark, to evaluate the performance of LLM agents in financial markets. The study finds that while…
ReguSim: Evaluating LLM Agent Rule Grounding in Financial Compliance
The paper introduces ReguSim, a controlled environment for evaluating Language Learning Models (LLM) in financial compliance. It presents ReguBench, a monitoring benchmark, to analyze four artifacts: reasoning…
Evaluating Investment Logic in Large Language Models: A Real-World Benchmark Towards Personalzied Financial Agents
The paper introduces InvestLogicBench, a benchmark for evaluating the investment logic of large language models (LLMs). The benchmark measures the logical plausibility and event grounding of LLMs, suggesting that…
