Shilong Li (李世龙)

Shilong Li (李世龙)

I graduated with an Bachelor's degree in Information Engineering from BUPT and am currently pursuing a Master's degree in Artificial Intelligence, focusing on the alignment of large language models (LLMs). Previously, I have interned at ByteDance, Didi, and Alibaba Group.

News

  • 2025-05 Two papers has been accepted to the ACL Main Conference! 🎉
  • 2025-02 We released the paper Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?! 🎉
  • 2024-11 We released Chinese-SimpleQA! 🎉
  • 2024-12 Our paper 2D-DPO has been accepted at Findings of NAACL 2025! 🎉
  • 2024-09 Our paper GraphReader has been accepted at Findings of EMNLP 2024! 🚀
  • 2024-03 EMMA accepted to the NAACL 2024 Main Conference! 🎉

Selected Publications

Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?

Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?

Yancheng He*, Shilong Li*, Jiaheng Liu*, Weixun Wang*, Xingyuan Bu, Ge Zhang, ...

Association for Computational Linguistics (ACL), 2025

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Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models

Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models

Yancheng He*, Shilong Li*, Jiaheng Liu*, Yingshui Tan, ...

Association for Computational Linguistics (ACL), 2025

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2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision

2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision

Shilong Li*, Yancheng He, Hui Huang, Xingyuan Bu, Jiaheng Liu, Hangyu Guo, Weixun Wang, Jihao Gu, ...

Findings of North American Chapter of the Association for Computational Linguistics (NAACL Findings), 2025

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GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models

GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models

Shilong Li*, Yancheng He*, Hangyu Guo*, Xingyuan Bu*, Ge Bai, Jie Liu, Jiaheng Liu, ...

Findings of Conference on Empirical Methods in Natural Language Processing (EMNLP Findings), 2024

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Fusion Makes Perfection: An Efficient Multi-Grained Matching Approach for Zero-Shot Relation Extraction

Fusion Makes Perfection: An Efficient Multi-Grained Matching Approach for Zero-Shot Relation Extraction

Shilong Li*, Ge Bai*, Zhang Zhang*, Ying Liu, Chenji Lu, Daichi Guo, Ruifang Liu, Yong Sun

North American Chapter of the Association for Computational Linguistics (NAACL), 2024

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