Dong Shu

According to our database, Dong Shu authored at least 27 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Learning from the Right Rollouts: Data Attribution for PPO-based LLM Post-Training.

Dong Shu, Denghui Zhang, Jessica Hullman

CoRR, April, 2026

2025

FinCall-Surprise: A Large Scale Multi-modal Benchmark for Earning Surprise Prediction.

Dong Shu, Yanguang Liu, Huopu Zhang, Mengnan Du

CoRR, October, 2025

Enhancing LLM Steering through Sparse Autoencoder-Based Vector Refinement.

Anyi Wang, Xuansheng Wu, Dong Shu, Yunpu Ma, Ninghao Liu

CoRR, September, 2025

FinChart-Bench: Benchmarking Financial Chart Comprehension in Vision-Language Models.

Dong Shu, Haoyang Yuan, Yuchen Wang, Yanguang Liu, Huopu Zhang, Haiyan Zhao, Mengnan Du

CoRR, July, 2025

AttackEval: How to Evaluate the Effectiveness of Jailbreak Attacking on Large Language Models.

Dong Shu, Chong Zhang, Mingyu Jin, Zihao Zhou, Lingyao Li

SIGKDD Explor., June, 2025

Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability.

Dong Shu, Haiyan Zhao, Jingyu Hu, Weiru Liu, Lu Cheng, Mengnan Du

CoRR, January, 2025

Aligning large language models and geometric deep models for protein representation.

Dong Shu, Bingbing Duan, Kai Guo, Kaixiong Zhou, Jiliang Tang, Mengnan Du

Patterns, 2025

Improving LLM Reasoning through Interpretable Role-Playing Steering.

Anyi Wang, Dong Shu, Yifan Wang, Yunpu Ma, Mengnan Du

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability.

Dong Shu, Haiyan Zhao, Jingyu Hu, Weiru Liu, Ali Payani, Lu Cheng, Mengnan Du

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models.

Dong Shu, Xuansheng Wu, Haiyan Zhao, Daking Rai, Ziyu Yao, Ninghao Liu, Mengnan Du

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Beyond Input Activations: Identifying Influential Latents by Gradient Sparse Autoencoders.

Dong Shu, Xuansheng Wu, Haiyan Zhao, Mengnan Du, Ninghao Liu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Comparative Analysis of Demonstration Selection Algorithms for In-Context Learning in Large Language Models (Student Abstract).

Dong Shu, Mengnan Du

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Exploring the Alignment Landscape: LLMs and Geometric Deep Models in Protein Representation.

Dong Shu, Bingbing Duan, Kai Guo, Kaixiong Zhou, Jiliang Tang, Mengnan Du

CoRR, 2024

Comparative Analysis of Demonstration Selection Algorithms for LLM In-Context Learning.

Dong Shu, Mengnan Du

CoRR, 2024

LawLLM: Law Large Language Model for the US Legal System.

Dong Shu, Haoran Zhao, Xukun Liu, David Demeter, Mengnan Du, Yongfeng Zhang

CoRR, 2024

When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments.

Chong Zhang, Xinyi Liu, Mingyu Jin, Zhongmou Zhang, Lingyao Li, Zhenting Wang, Wenyue Hua, Dong Shu, Suiyuan Zhu, Xiaobo Jin, Sujian Li, Mengnan Du, Yongfeng Zhang

CoRR, 2024

Counterfactual Explainable Incremental Prompt Attack Analysis on Large Language Models.

Dong Shu, Mingyu Jin, Tianle Chen, Chong Zhang, Yongfeng Zhang

CoRR, 2024

Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of Transportation and AI.

Dong Shu, Zhouyao Zhu

CoRR, 2024

Knowledge Graph Large Language Model (KG-LLM) for Link Prediction.

Dong Shu, Tianle Chen, Mingyu Jin, Yiting Zhang, Chong Zhang, Mengnan Du, Yongfeng Zhang

CoRR, 2024

Health-LLM: Personalized Retrieval-Augmented Disease Prediction System.

Mingyu Jin, Qinkai Yu, Dong Shu, Chong Zhang, Lizhou Fan, Wenyue Hua, Suiyuan Zhu, Yanda Meng, Zhenting Wang, Mengnan Du, Yongfeng Zhang, Yanda Meng

CoRR, 2024

AttackEval: How to Evaluate the Effectiveness of Jailbreak Attacking on Large Language Models.

Dong Shu, Mingyu Jin, Suiyuan Zhu, Beichen Wang, Zihao Zhou, Chong Zhang, Yongfeng Zhang

CoRR, 2024

ARIF: An Adaptive Attention-Based Cross-Modal Representation Integration Framework.

Chengzhi Liu, Zihong Luo, Yifei Bi, Zile Huang, Dong Shu, Jiheng Hou, Hongchen Wang, Kaiyu Liang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Target-driven Attack for Large Language Models.

Chong Zhang, Mingyu Jin, Dong Shu, Taowen Wang, Dongfang Liu, Xiaobo Jin

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

LawLLM: Law Large Language Model for the US Legal System.

Dong Shu, Haoran Zhao, Xukun Liu, David Demeter, Mengnan Du, Yongfeng Zhang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Knowledge Graph Large Language Model (KG-LLM) for Link Prediction.

Dong Shu, Tianle Chen, Mingyu Jin, Chong Zhang, Mengnan Du, Yongfeng Zhang

Proceedings of the Asian Conference on Machine Learning, 2024

The Impact of Reasoning Step Length on Large Language Models.

Mingyu Jin, Qinkai Yu, Dong Shu, Haiyan Zhao, Wenyue Hua, Yanda Meng, Yongfeng Zhang, Mengnan Du

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Assessing Prompt Injection Risks in 200+ Custom GPTs.

Jiahao Yu, Yuhang Wu, Dong Shu, Mingyu Jin, Xinyu Xing

CoRR, 2023