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20212024
most citedMisusing Tools in Large Language Models With Visual Adversarial Examples

6 citations · 9 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL20241 cited

Enhancing Healthcare through Large Language Models: A Study on Medical Question Answering

Haoran Yu, Chang Yu, Zihan Wang +2

In recent years, the application of Large Language Models (LLMs) in healthcare has shown significant promise in improving the accessibility and dissemination of medical knowledge.…

cs.IR2024

Graph Bottlenecked Social Recommendation

Yonghui Yang, Le Wu, Zihan Wang +3

With the emergence of social networks, social recommendation has become an essential technique for personalized services. Recently, graph-based social recommendations have shown pr…

cs.CL20231 cited

EmojiLM: Modeling the New Emoji Language

Letian Peng, Zilong Wang, Hang Liu +2

With the rapid development of the internet, online social media welcomes people with different backgrounds through its diverse content. The increasing usage of emoji becomes a noti…

cs.LG20231 cited

Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback

Max Balsells, Marcel Torne, Zihan Wang +3

Ideally, we would place a robot in a real-world environment and leave it there improving on its own by gathering more experience autonomously. However, algorithms for autonomous ro…

cs.CL2023

ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation

Zi Lin, Zihan Wang, Yongqi Tong +4

Despite remarkable advances that large language models have achieved in chatbots, maintaining a non-toxic user-AI interactive environment has become increasingly critical nowadays.…

cs.CR20236 cited

Misusing Tools in Large Language Models With Visual Adversarial Examples

Xiaohan Fu, Zihan Wang, Shuheng Li +4

Large Language Models (LLMs) are being enhanced with the ability to use tools and to process multiple modalities. These new capabilities bring new benefits and also new security ri…