ToolArtist: Tool-Using Unified Multimodal Models for Agentic Image Generation
Jiahao Zhao, Xiaomin Yu, Zhongxiang Sun, Fengwei Teng, Chengwei Qin, Xiaobin Hu, Jun Xu, Shuicheng Yan
arXiv 2026 2026 年 8 月 6 日位列 Hugging Face Paper of the Day 第 1 名。
论文/ Hugging Face/ 入选记录
NeuroCogMap Reveals Cognitive Organization of Large Language Models
Zhongxiang Sun, Haolang Lu, Qiang Ma, Qi Li, Qipeng Wang, Liang Pang, Chenyu Liu, Qiankun Li, Hao Sun, Kun Wang, Yi Zeng, Jun Xu, Guoqi Li, Ji-Rong Wen
arXiv 2026 构建系统级图谱，分析功能组织、模型病理、人类皮层对应关系与认知模型发现。
论文/ 项目主页/ 代码
Towards Understanding Continual Factual Knowledge Acquisition of Language Models: From Theory to Algorithm
Haoyu Wang, Yifan Shang, Zhongxiang Sun, Weijie Yu, Xiao Zhang, Jun Xu
ICML 2026
论文
When Personalization Misleads: Understanding and Mitigating Hallucinations in Personalized LLMs
Zhongxiang Sun, Yi Zhan, Chenglei Shen, Weijie Yu, Xiao Zhang, Ming He, Jun Xu
ACL 2026 Findings 研究个性化诱发的幻觉，并提出 FPPS 缓解方法。
论文/ 代码
DLLM-Searcher: Adapting Diffusion Large Language Model for Search Agents
Jiahao Zhao*, Shaoxuan Xu*, Zhongxiang Sun（共同一作、项目负责人）, Fengqi Zhu, Jingyang Ou, Yuling Shi, Chongxuan Li, Xiao Zhang, Jun Xu
SIGIR 2026
论文
Deep Search with Hierarchical Meta-Cognitive Monitoring Inspired by Cognitive Neuroscience
Zhongxiang Sun, Qipeng Wang, Weijie Yu, Jingxuan Yang, Haolang Lu, Jun Xu
SIGIR 2026 面向深度搜索智能体的元认知监测。
论文/ 代码
Mechanistic Detection and Mitigation of Hallucination in Large Reasoning Models
Zhongxiang Sun, Qipeng Wang, Haoyu Wang, Xiao Zhang, Jun Xu
ICLR 2026 使用 RHD 与 GRPO-R 研究推理幻觉。
论文/ 代码
ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding
Zhongxiang Sun, Qipeng Wang, Weijie Yu, Xiaoxue Zang, Kai Zheng, Jun Xu, Xiao Zhang, Song Yang, Han Li
SIGIR 2025 入选 Paper Digest 最具影响力 SIGIR 论文榜单。
论文/ 代码/ 入选信息
CreAgent: Towards Long-Term Evaluation of Recommender System under Platform-Creator Information Asymmetry
Xiaopeng Ye, Chen Xu, Zhongxiang Sun, Jun Xu, Gang Wang, Zhenhua Dong, Ji-Rong Wen
SIGIR 2025
ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability
Zhongxiang Sun, Xiaoxue Zang, Kai Zheng, Jun Xu, Xiao Zhang, Weijie Yu, Yang Song, Han Li
ICLR 2025 Spotlight 论文。
论文/ 代码
LargePiG: Your Large Language Model is Secretly a Pointer Generator
Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu
WWW 2025
论文
Trigger3: Refining Query Correction via Adaptive Model Selector
Kepu Zhang, Zhongxiang Sun, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, Jun Xu
AAAI 2024
Generative Retrieval with Semantic Tree-Structured Identifiers and Contrastive Learning
Zihua Si, Zhongxiang Sun, Jiale Chen, Guozhang Chen, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu, Kun Gai
SIGIR-AP 2024 最佳论文奖。
Large Language Models Enhanced Collaborative Filtering
Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu
CIKM 2024 入选 Paper Digest 最具影响力 CIKM 论文榜单。
论文/ 入选信息
Twin v2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou
Zihua Si, Lin Guan, Zhongxiang Sun, Xiaoxue Zang, et al.
CIKM 2024 ADS 入选 Paper Digest 最具影响力 CIKM 论文榜单。
入选信息
Effective In-Context Example Selection through Data Compression
Zhongxiang Sun, Kepu Zhang*, Haoyu Wang, Xiao Zhang, Jun Xu
ACL 2024 Findings Short
论文
To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process
Zhongxiang Sun, Zihua Si, Xiao Zhang, Xiaoxue Zang, Yang Song, Hongteng Xu, Jun Xu
SIGIR 2024
论文
Logic Rules as Explanations for Legal Case Retrieval
Zhongxiang Sun, Kepu Zhang, Weijie Yu, Haoyu Wang, Jun Xu
COLING 2024
Explainable Legal Case Matching via Graph Optimal Transport
Zhongxiang Sun, Weijie Yu, Zihua Si, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen
TKDE 2023
论文
KuaiSAR: A Unified Search And Recommendation Dataset
Zhongxiang Sun, Zihua Si*, Xiaoxue Zang, Dewei Leng, Yanan Niu, Yang Song, Xiao Zhang, Jun Xu
CIKM 2023
Uncovering ChatGPT's Capabilities in Recommender Systems
Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, Jun Xu
RecSys 2023
When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation
Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, Ji-Rong Wen
SIGIR 2023
Law Article-Enhanced Legal Case Matching: A Causal Learning Approach
Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen
SIGIR 2023
Enhancing Recommendation with Search Data in a Causal Learning Manner
Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Yang Song, Xiaoxue Zang, Ji-Rong Wen
TOIS 2023
Enough Waiting for the Couriers: Learning to Estimate Package Pick-up Arrival Time from Couriers' Spatial-Temporal Behaviors
Haomin Wen, Youfang Lin, Fan Wu, Huaiyu Wan, Zhongxiang Sun, Tianyue Cai, Hongyu Liu, Shengnan Guo, Jianbing Zheng, Chao Song, Lixia Wu
TITS 2022
AddrMiner: A Comprehensive Global Active IPv6 Address Discovery System
G. Song, J. Yang, L. He, Z. Wang, G. Li, C. Duan, Y. Liu, Zhongxiang Sun
USENIX ATC 2022
Explainable Legal Case Matching via Inverse Optimal Transport-Based Rationale Extraction
Weijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen
SIGIR 2022