PEAR: Progressive Evidence-Based AutoResearch for Industrial Search Systems
cs.IR, cs.AI
Submitted: 2026-09-28
Updated: 2026-09-28
Sources
- Toward Autonomous Long-Horizon Engineering for ML Research
- Let the Agent Steer: Closed-Loop Ranking Optimization via Influence Exchange
- Self-EvolveRec: Self-Evolving Recommender Systems with LLM-based Directional Feedback
- AgentX: Towards Agent-Driven Self-Iteration of Industrial Recommender Systems
- Meta-Harness: End-to-End Optimization of Model Harnesses
- AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration
- The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
- AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery
- Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents
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