Finance
Fin-R1: A Large Language Model for Financial Reasoning through Reinforcement Learning
·2985 words·15 mins·
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AI Generated
🤗 Daily Papers
AI Applications
Finance
🏢 Shanghai University of Finance and Economics
Fin-R1: Financial reasoning via RL.
Speculative Ad-hoc Querying
·2957 words·14 mins·
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AI Generated
🤗 Daily Papers
AI Applications
Finance
🏢 University of Texas at Austin
SpeQL: Near-instant results for ad-hoc queries using LLMs to predict and precompute, dramatically improving user experience.
FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading
·2535 words·12 mins·
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AI Generated
🤗 Daily Papers
AI Applications
Finance
🏢 Harvard University
FLAG-TRADER fuses LLMs & RL for enhanced financial trading, achieving superior performance compared to traditional methods by efficiently integrating multimodal data and adapting to market dynamics.