Pengcheng Jiang
- Papers
- 5
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5papers
Authored papers
5Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation
arXiv 2026
Adaptation of Agentic AI
arXiv 2025
s3: You Don't Need That Much Data to Train a Search Agent via RL
arXiv 2025
DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning
arXiv 2025
RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation
arXiv 2025
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