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_pages/publications.md

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 permalink: /publications/
 title: Publications
 description: 
-years: [2024, 2023, 2022, 2021, 2020, 2019, 2018, 2017, 2016]
+years: [2025, 2024, 2023, 2022, 2021, 2020, 2019, 2018, 2017, 2016]
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@@ -13,12 +13,9 @@ nav: true
 
 - CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries. Shudong Liu, Yiqiao Jin, Cheng Li, Derek F. Wong, Qingsong Wen, Lichao Sun, Haipeng Chen, Xing Xie, Jindong Wang. [[arxiv](https://arxiv.org/abs/2501.01282)]
 - MentalArena: Self-play Training of Language Models for Diagnosis and Treatment of Mental Health Disorders. Cheng Li, May Fung, Qingyun Wang, Chi Han, Manling Li, Jindong Wang, Heng Ji. [[arxiv](https://arxiv.org/abs/2410.06845)]
-- StringLLM: Understanding the String Processing Capability of Large Language Models. Xilong Wang, Hao Fu, Jindong Wang, Neil Zhenqiang Gong. [[arxiv](https://arxiv.org/abs/2410.01208)]
 - On the Diversity of Synthetic Data and its Impact on Training Large Language Models. Hao Chen, Abdul Waheed, Xiang Li, Yidong Wang, Jindong Wang, Bhiksha Raj, Marah I. Abdin. [[arxiv](https://arxiv.org/abs/2410.15226)]
 - SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer. Hao Chen, Ze Wang, Xiang Li, Ximeng Sun, Fangyi Chen, Jiang Liu, Jindong Wang, Bhiksha Raj, Zicheng Liu, Emad Barsoum. [[arxiv](https://arxiv.org/abs/2412.10958)]
-- Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist. Zihao Zhou, Shudong Liu, Maizhen Ning, Wei Liu, Jindong Wang, Derek F. Wong, Xiaowei Huang, Qiufeng Wang, Kaizhu Huang. [[arxiv](https://arxiv.org/abs/2407.08733)]
 - Social Science Meets LLMs: How Reliable Are Large Language Models in Social Simulations? Yue Huang, Zhengqing Yuan, Yujun Zhou, Kehan Guo, Xiangqi Wang, Haomin Zhuang, Weixiang Sun, Lichao Sun, Jindong Wang, Yanfang Ye, Xiangliang Zhang. [[arxiv](https://arxiv.org/abs/2410.23426)]
-- CycleResearcher: Improving Automated Research via Automated Review. Yixuan Weng, Minjun Zhu, Guangsheng Bao, Hongbo Zhang, Jindong Wang, Yue Zhang, Linyi Yang. [[arxiv](https://arxiv.org/abs/2411.00816)]
 - Scito2M: A 2 Million, 30-Year Cross-disciplinary Dataset for Temporal Scientometric Analysis. Yiqiao Jin, Yijia Xiao, Yiyang Wang, Jindong Wang. [[arxiv](https://arxiv.org/abs/2410.09510)]
 - Can I understand what I create? Self-Knowledge Evaluation of Large Language Models. Zhiquan Tan, Lai Wei, Jindong Wang, Xing Xie, Weiran Huang. [[arxiv](https://arxiv.org/abs/2406.06140)]
 - Learning with noisy foundation models. Hao Chen, Jindong Wang, Zihan Wang, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj. [[arxiv](https://arxiv.org/abs/2403.06869)]