Self-Evolving Multi-Agent Symbolic Discovery for Financial Fundamental Analysis
cs.MA, cs.AI, cs.LG, q-fin.CP
Submitted: 2026-09-26
Updated: 2026-09-26
Terminology
Sources
- Experiential Reflective Learning for Self-Improving LLM Agents
- Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution
- Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl
- Fin-R1: A Large Language Model for Financial Reasoning through Reinforcement Learning
- AlphaEvolve: A coding agent for scientific and algorithmic discovery
- Fino1: On the Transferability of Reasoning-Enhanced LLMs and Reinforcement Learning to Finance
- Alita-G: Self-Evolving Generative Agent for Agent Generation
- Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution
- Qwen3 Technical Report
- Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning
- Language models guide symbolic equation discovery by controlling search
- AgentEvolver: Towards Efficient Self-Evolving Agent System
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