Xiaoshuai Song (宋晓帅)  Ph.D. Student Gaoling School of Artificial Intelligence (GSAI) Renmin University of China (RUC) Beijing, China, 100872. Email: songxiaoshuai@ruc.edu.cn [Google Scholar]

Biography

I am a first-year Ph.D. student of RUC-NLPIR Lab in the Gaoling School of Artificial Intelligence, Renmin University of China (RUC), advised by Prof. Zhicheng Dou and Prof. Ji-Rong Wen. Previously, I received my M.S. degree from the School of Artificial Intelligence, Beijing University of Posts and Telecommunications in June 2025, advised by Prof. Weiran Xu.

My current research interests center on Large Language Model (LLM) agents, specifically focusing on (1) Web Information Acquisition, and (2) General Tool Use.

News

• [2026-07] We release Towards Long-Horizon Agents: A Survey, a comprehensive survey of long-horizon agents.
• [2026-07] We release WebSwarm, a recursive multi-agent orchestration framework for deep-and-wide web search.
• [2026-04] Two paper has been accepted by ACL2026 (main & findings) !
• [2026-01] We propose EnvScaler, an automated framework for scalable tool-interaction environments via programmatic synthesis! See more details.
• [2025-05] Two paper has been accepted by ACL2025 main!
• [2025-01] One paper has been accepted by WWW2025, and two papers has been accepted by ICLR2025!
• [2024-06] We propose CS-Bench, the first benchmark dedicated to evaluating the performance of LLMs in computer science! See more details.

Experiences

Academia

• [2025.9 - Now] Ph.D. student at Renmin University of China
• [2022.9 - 2025.6] M.S. at Beijing University of Posts and Telecommunications
• [2018.9 - 2022.6] B.S. at Beijing University of Posts and Telecommunications

Industry

• [2026.7 - Now] Tencent, WeChat - Mini Program Agent, Algorithm Research Intern.
• [2026.1 - 2026.7] Kuaishou - Foundation LLM & Application Department, Algorithm Research Intern.
• [2024.7 - 2025.6] Alibaba, Taobao & TMall - Future Life Lab, LLM Algorithm Research Intern.
• [2023.7 - 2024.6] SenseTime, Research Institute - NLP, Algorithm Research Intern.

Selected Publications

Full Publications

Titles link to papers. * denotes equal contributions.

• Preprints 2026 Towards Long-Horizon Agents: A Survey
  Guanting Dong, Xiaoshuai Song, Yuyang Hu, Jiajie Jin, Chenghao Zhang, Yifei Chen, Xiaoxi Li, Huaying Yuan, Xinyu Yang, Tongyu Wen, Jiejun Tan, Hongjin Qian, Shijue Huang, Junting Lu, Zhenyu Li, Wanjun Zhong, Yutao Zhu, Tat-Seng Chua, Zhicheng Dou, Ji-Rong Wen.
• arXiv 2026 WebSwarm: Recursive Multi-Agent Orchestration for Deep-and-Wide Web Search
  Xiaoshuai Song, Liancheng Zhang, Kangzhi Zhao, Yutao Zhu, Zhongyuan Wang, Guanting Dong, Jinghan Yang, Han Li, Kun Gai, Ji-Rong Wen, Zhicheng Dou.
• arXiv 2026 Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence
  Guanting Dong, Junting Lu, Junjie Huang, Wanjun Zhong, Longxiang Liu, Shijue Huang, Zhenyu Li, Yang Zhao, Xiaoshuai Song, Xiaoxi Li, Jiajie Jin, Yutao Zhu, Hanbin Wang, Fangyu Lei, Qinyu Luo, Mingyang Chen, Zehui Chen, Jiazhan Feng, Ji-Rong Wen, Zhicheng Dou.
• arXiv 2026 GISA: A Benchmark for General Information-Seeking Assistant
  Yutao Zhu, Xingshuo Zhang, Maosen Zhang, Jiajie Jin, Liancheng Zhang, Xiaoshuai Song, Kangzhi Zhao, Wencong Zeng, Ruiming Tang, Han Li, Ji-Rong Wen, Zhicheng Dou.
• ACL 2026 ShopSimulator: Evaluating and Exploring RL-Driven LLM Agent for Shopping Assistants
  Pei Wang, Yanan Wu, Xiaoshuai Song*, Weixun Wang, Gengru Chen, Zhongwen Li, Kezhong Yan, Ken Deng, Qi Liu, Shuaibing Zhao, Shaopan Xiong, Xuepeng Liu, Xuefeng Chen, Wanxi Deng, Wenbo Su, Bo Zheng.
• ACL Findings 2026 EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis
  Xiaoshuai Song, Haofei Chang, Guanting Dong, Yutao Zhu, Zhicheng Dou, Ji-Rong Wen.
• arXiv 2025 Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem
  Team of Future Life Lab (Technical Report including Xiaoshuai Song).
• ACL 2025 ProgCo: Program Helps Self-Correction of Large Language Models
  Xiaoshuai Song, Yanan Wu, Weixun Wang, Jiaheng Liu, Wenbo Su, Bo Zheng.
• ACL 2025 We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?
  Runqi Qiao, Qiuna Tan, Guanting Dong, Minhui Wu, Chong Sun, Xiaoshuai Song, Zhuoma GongQue, Shanglin Lei, Zhe Wei, Miaoxuan Zhang, Runfeng Qiao, Yifan Zhang, Xiao Zong, Yida Xu, Muxi Diao, Zhimin Bao, Chen Li, Honggang Zhang.
• ICLR 2025 CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery
  Xiaoshuai Song, Muxi Diao, Guanting Dong, Zhengyang Wang, Yujia Fu, Runqi Qiao, Zhexu Wang, Dayuan Fu, Huangxuan Wu, Bin Liang, Weihao Zeng, Yejie Wang, Zhuoma GongQue, Jianing Yu, Qiuna Tan, Weiran Xu.
• ICLR 2025 MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models
  Pei Wang, Yanan Wu, Zekun Wang, Jiaheng Liu, Xiaoshuai Song, Zhongyuan Peng, Ken Deng, Chenchen Zhang, Jiakai Wang, Junran Peng, Ge Zhang, Hangyu Guo, Zhaoxiang Zhang, Wenbo Su, Bo Zheng.
• WWW 2025 Oral Assessing and Post-Processing Black Box Large Language Models for Knowledge Editing
  Xiaoshuai Song, Zhengyang Wang, Keqing He, Guanting Dong, Jinxu Zhao, Weiran Xu.
• AAAI 2025 Toward General Instruction-Following Alignment for Retrieval-Augmented Generation
  Guanting Dong, Xiaoshuai Song, Yutao Zhu, Runqi Qiao, Zhicheng Dou, Ji-Rong Wen.
• ECCV 2024 Oral Faceptor: A Generalist Model for Face Perception
  Lixiong Qin, Mei Wang, Xuannan Liu, Yuhang Zhang, Wei Deng, Xiaoshuai Song, Weiran Xu, Weihong Deng.
• LERC-COLING 2024 Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection
  Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu.
• ICASSP 2024 Noise-BERT: A Unified Perturbation-robust Framework With Noise Alignment Pre-training For Noisy Slot Filing Task
  Jinxu Zhao, Guanting Dong, Yueyan Qiu, Tingfeng Hui, Xiaoshuai Song, Daichi Guo, Weiran Xu.
• EMNLP 2023 Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT
  Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu.
• EMNLP Findings 2023 Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition
  Xiaoshuai Song, Yutao Mou, Keqing He, Yueyan Qiu, Pei Wang, Weiran Xu.
• EMNLP Findings 2023 APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection
  Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu.
• ACL 2023 Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery
  Yutao Mou, Xiaoshuai Song*, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian, Weiran Xu.

Honors & Awards

• Excellent Master's Thesis Award (Top 1%), BUPT. 2025
• National Scholarship (Top 1%), Ministry of Education. 2024
• Outstanding Master Students (Top 5%), BUPT. 2023, 2024
• Excellent First-class Scholarship for Master Students, BUPT. 2022, 2023
• Chinese College Student Mathematics Competition (Preliminary round), First Prize, 2022.01
• MathorCup University Mathematical Modeling Challenge, Second Prize, 2021.03
• The Mathematical Contest in Modeling, Honorable Mention, 2020.4

Last updated: 2026.07