Runxin Xu

Can Open Large Language Models Catch Vulnerabilities?

DeepSeek-AI, Daya Guo, Dejian Yang et al. · ArXiv.org · 2025 · 444 citations · Full text

DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning

Daya Guo, Dejian Yang, Haowei Zhang et al. · Nature · 2025 · 268 citations · Full text

Double Graph Based Reasoning for Document-level Relation Extraction

Shuang Zeng, Runxin Xu, Baobao Chang et al. · 2020 · 229 citations · Full text

Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning

Runxin Xu, Fuli Luo, Zhiyuan Zhang et al. · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · 2021 · 125 citations · Full text

Structured Prediction, Llm Fine-tuning, Engineering +23

Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker

Runxin Xu, Tianyu Liu, Lei Li et al. · 2021 · 87 citations · Full text

Engineering, Event Correlation, Corpus Linguistics +24