Dong Shu

Orcid: 0009-0009-9785-3934

According to our database1, Dong Shu authored at least 12 papers between 2023 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Comparative Analysis of Demonstration Selection Algorithms for LLM In-Context Learning.
CoRR, 2024

When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments.
CoRR, 2024

Counterfactual Explainable Incremental Prompt Attack Analysis on Large Language Models.
CoRR, 2024

Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of Transportation and AI.
CoRR, 2024

Knowledge Graph Large Language Model (KG-LLM) for Link Prediction.
CoRR, 2024

Health-LLM: Personalized Retrieval-Augmented Disease Prediction System.
CoRR, 2024

AttackEval: How to Evaluate the Effectiveness of Jailbreak Attacking on Large Language Models.
CoRR, 2024

ARIF: An Adaptive Attention-Based Cross-Modal Representation Integration Framework.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Target-driven Attack for Large Language Models.
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.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

The Impact of Reasoning Step Length on Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Assessing Prompt Injection Risks in 200+ Custom GPTs.
CoRR, 2023


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