AlphaRLM: Aligning Language Models for Literature-Grounded Symbolic Factor Discovery
cs.AI, cs.CL, cs.LG, q-fin.PM
Submitted: 2026-10-10
Updated: 2026-10-15
Comments: 25 pages, 5 figures
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Total, asymmetric and frequency connectedness between oil and forex markets
- GLM-5: from Vibe Coding to Agentic Engineering
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- QuantaAlpha: An Evolutionary Framework for LLM-Driven Alpha Mining
- Alpha-R1: Alpha Screening with LLM Reasoning via Reinforcement Learning
- Fin-R1: A Large Language Model for Financial Reasoning through Reinforcement Learning
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors
- AlphaAgent: LLM-Driven Alpha Mining with Regularized Exploration to Counteract Alpha Decay
- FactorMiner: A Self-Evolving Agent with Skills and Experience Memory for Financial Alpha Discovery
- Qlib: An AI-oriented Quantitative Investment Platform
- AlphaSchema: Exploring the Space of Trading Semantics for LLM-Based Alpha Mining
- DAPO: An Open-Source LLM Reinforcement Learning System at Scale
- From Feedback Loops to Policy Updates: Reinforcement Fine-Tuning for LLM-Based Alpha Factor Discovery
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