Xianyang Liu
✉️ liuxianyang98@gmail.com
I am currently a Research Assistant at UC Berkeley, working with Postdoctoral Researcher Shangding Gu and Prof. Dawn Song. Previously, I was a Research Assistant at The Hong Kong University of Science and Technology (Guangzhou), advised by Prof. Jiaheng Wei. Before that, I was a Machine Learning Engineer at Ant Group from July 2024 to July 2025. I received my Master’s degree from King’s College London.
My research interests focus on developing and benchmarking Multi-Agent LLM/VLM Systems to enhance reasoning capabilities and enable complex real-world interactions:
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Evaluation & Benchmark: exploring multi-agent LLM/VLM systems for buyer-seller transaction negotiations [AgenticPay] (NeurIPS 2026 Main Track). 📍UC Berkeley
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Post-training & Reasoning: generating synthetic reasoning data via multi-agent frameworks to enhance mathematical reasoning [AgenticMath] (AAAI 2027 stage 2 under review). 📍HKUST(GZ)
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Multi-Agent Framework: developing knowledge graph-driven agent orchestration framework that combines LLM/VLM with Eventic Knowledge Graph (EKG) for complex reasoning and online collaboration [MuAgent
]. 📍Ant Group
news
| Sep 29, 2026 | 🎉 Our AgenticPay paper is accepted by NeurIPS 2026 Main Track! Camera-ready version coming soon. |
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| Mar 02, 2026 | 🎉 Our AgenticMath paper is accepted by ICLR 2026 DATA-FM Workshop! |
| Mar 01, 2026 | 🎉 Our AgenticPay paper is accepted by ICLR 2026 AIMS Workshop! |
| Feb 06, 2026 | 🎉 Check out our new paper in arxiv: AgenticPay: A Multi-Agent LLM Negotiation System for Buyer–Seller Transactions. |
| Oct 22, 2025 | 🎉 Check out our new paper in arxiv: AgenticMath: Enhancing LLM Reasoning via Agentic-based Math Data Generation. |
selected publications
- ICLR 2026 workshop
AgenticMath: Enhancing LLM Reasoning via Agentic-based Math Data GenerationICLR 2026 Workshops on Navigating and Addressing Data Problems for Foundation Models. [Paper] , 2025