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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
2025Yan Wang, Yang Ren et al.
[4]
FairEval: Evaluating Fairness in LLM-Based Recommendations with Personality Awareness
2025Chandan Kumar Sah, Xiaoli Lian et al.
[5]
Are Generative AI Agents Effective Personalized Financial Advisors?
2025Takehiro Takayanagi, Kiyoshi Izumi et al.
[6]
Fino1: On the Transferability of Reasoning-Enhanced LLMs and Reinforcement Learning to Finance
2025Lingfei Qian, Weipeng Zhou et al.
[7]
Benchmarking LLMs in Recommendation Tasks: A Comparative Evaluation with Conventional Recommenders
2025Qijiong Liu, Jieming Zhu et al.
[8]
FinPersona: An LLM-Driven Conversational Agent for Personalized Financial Advising
2025Takehiro Takayanagi, Masahiro Suzuki et al.
[9]
INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based Agent
2025Haohang Li, Yupeng Cao et al.
[10]
FAR-Trans: An Investment Dataset for Financial Asset Recommendation
2024Javier Sanz-Cruzado, Nikolaos Droukas et al.
[11]
PSYCHOLOGICAL BIASES IN INVESTMENT DECISIONS: A BEHAVIORAL FINANCE APPROACH
2024Khalid Mehraj, Vinay Kumar
[12]
LLM-REDIAL: A Large-Scale Dataset for Conversational Recommender Systems Created from User Behaviors with LLMs
2024Tingting Liang, Chenxin Jin et al.
[13]
Does ChatGPT Provide Better Advice than Robo-Advisors?
2023Andreas Oehler, M. Horn
[14]
DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Long and Specialized Documents
2023Yilun Zhao, Yitao Long et al.
[15]
Evaluating ChatGPT as a Recommender System: A Rigorous Approach
2023Dario Di Palma, Giovanni Maria Biancofiore et al.
[16]
Uncovering ChatGPT’s Capabilities in Recommender Systems
2023Sunhao Dai, Ninglu Shao et al.
[17]
REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths
2023Xu Chen, Jingsen Zhang et al.
[18]
Personality-Driven Social Multimedia Content Recommendation
2022Qi Yang, S. Nikolenko et al.
[19]
StockBabble: A Conversational Financial Agent to support Stock Market Investors
2021Suraj P. Sharma, Joseph E Brennan et al.
[20]
Advances and Challenges in Conversational Recommender Systems: A Survey
2021Chongming Gao, Wenqiang Lei et al.

Showing 20 of 29 references

Founder's Pitch

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

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5

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10

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0/4 signals

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