ReCreate: Reasoning and Creating Domain Agents Driven by Experience

cs.AI

Submitted: 2026-01-16

Updated: 2026-10-13

Code: https://github.com/zz-haooo/ReCreate

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• TTVS: Boosting Self-Exploring Reinforcement Learning via Test-time Variational Synthesis
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• Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
• On the Measure of Intelligence
• HatLLM: Hierarchical Attention Masking for Enhanced Collaborative Modeling in LLM-based Recommendation
• Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution
• FlowReasoner: Reinforcing Query-Level Meta-Agents
• Advanced Tool Learning and Selection System (ATLASS): A Closed-Loop Framework Using LLM
• WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models
• Measuring Mathematical Problem Solving With the MATH Dataset
• Automated Design of Agentic Systems
• DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models
• SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
• DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
• CodePDE: An Inference Framework for LLM-driven PDE Solver Generation
• What's Missing in Screen-to-Action? Towards a UI-in-the-Loop Paradigm for Multimodal GUI Reasoning
• Search-o1: Agentic Search-Enhanced Large Reasoning Models
• DeepAgent: A General Reasoning Agent with Scalable Toolsets
• AgentSwift: Efficient LLM Agent Design via Value-guided Hierarchical Search
• Self-evolving Agents with reflective and memory-augmented abilities

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