Conv-FinRe: A Conversational and Longitudinal Benchmark for Utility-Grounded Financial Recommendation | ScienceToStartup | ScienceToStartup

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References (29)

[1]

CEREAL: personality-driven LLM-based conversational recommendation dataset with contextually-enriched and realistic user interactions

2026Jiyoon Lee, Joonghoon Kim et al.

[2]

PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations?

2025Chandan Kumar Sah

[3]

FinTagging: Benchmarking LLMs for Extracting and Structuring Financial Information

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"A conversational benchmark for financial advisory systems that distinguishes between behavior imitation and decision quality using real market data."

Financial AI•Score: 6•View PDF ↗

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Conv-FinRe: A Conversational and Longitudinal Benchmark for Utility-Grounded Financial Recommendation

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References (29)

Founder's Pitch

"A conversational benchmark for financial advisory systems that distinguishes between behavior imitation and decision quality using real market data."

Commercial Viability Breakdown

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Conv-FinRe: A Conversational and Longitudinal Benchmark for Utility-Grounded Financial Recommendation

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References (29)

Founder's Pitch

"A conversational benchmark for financial advisory systems that distinguishes between behavior imitation and decision quality using real market data."

Commercial Viability Breakdown

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