PQR framework generates diverse realistic queries to elicit QA agent failures, uncovering 23-78% more unhelpful responses than prior methods in e-commerce agent tests.
Large Language Model Agents in Finance: A Survey Bridging Research, Practice, and Real-World Deployment
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
FinAcumen introduces selective experience memory that distills prior trajectories into reusable strategies and cautionary rules to improve tool-augmented multimodal financial reasoning.
citing papers explorer
-
PQR: A Framework to Generate Diverse and Realistic User Queries that Elicit QA Agent Failures
PQR framework generates diverse realistic queries to elicit QA agent failures, uncovering 23-78% more unhelpful responses than prior methods in e-commerce agent tests.
-
FinAcumen: Financial Multimodal Reasoning via Self-Evolving Experience Memory Harness
FinAcumen introduces selective experience memory that distills prior trajectories into reusable strategies and cautionary rules to improve tool-augmented multimodal financial reasoning.