iclr papers

_bibliography/papers.bib

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 ---
 ---
 
+
+@inproceedings{wang2025stringllm,
+  title={StringLLM: Understanding the String Processing Capability of Large Language Models},
+  author={Wang, Xilong and Fu, Hao and Wang, Jindong and Gong, Neil Zhenqiang},
+  booktitle={International Conference on Learning Representation (ICLR)},
+  year={2025},
+  arxiv={https://arxiv.org/abs/2410.01208},
+  code={https://github.com/wxl-lxw/StringLLM}
+}
+
+@inproceedings{zhou2025your,
+  title={Is your model really a good math reasoner? evaluating mathematical reasoning with checklist},
+  author={Zhou, Zihao and Liu, Shudong and Ning, Maizhen and Liu, Wei and Wang, Jindong and Wong, Derek F and Huang, Xiaowei and Wang, Qiufeng and Huang, Kaizhu},
+  booktitle={International Conference on Learning Representation (ICLR)},
+  year={2025},
+  arxiv={https://arxiv.org/abs/2407.08733}
+}
+
+@inproceedings{weng2025cycleresearcher,
+  title={Cycleresearcher: Improving automated research via automated review},
+  author={Weng, Yixuan and Zhu, Minjun and Bao, Guangsheng and Zhang, Hongbo and Wang, Jindong and Zhang, Yue and Yang, Linyi},
+  booktitle={International Conference on Learning Representation (ICLR)},
+  year={2025},
+  arxiv={https://arxiv.org/abs/2411.00816}
+}
+
+@inproceedings{wang2025plench,
+  title={PLENCH: Realistic Evaluation of Deep Partial-Label Learning Algorithms},
+  author={Wang, Wei and Wu, Dong-Dong and Wang, Jindong and Niu, Gang and Zhang, Min-Ling and Sugiyama, Masashi},
+  booktitle={International Conference on Learning Representation (ICLR)},
+  year={2025}
+}
+
 @inproceedings{chen2024slight,
   title={Slight Corruption in Pre-training Data Makes Better Diffusion Models},
   author={Chen, Hao and Han, Yujin and Misra, Diganta and Li, Xiang and Hu, Kai and Zou, Difan and Sugiyama, Masashi and Wang, Jindong and Raj, Bhiksha},

_news/iclr25.md

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+---
+layout: post
+date: 2025-01-22
+inline: true
+---
+
+Four papers are accepted in ICLR 2025. Congrats to all collaborators!