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
Sources
- TTVS: Boosting Self-Exploring Reinforcement Learning via Test-time Variational Synthesis
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- FlowReasoner: Reinforcing Query-Level Meta-Agents
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- 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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