Yiqiao Jin

According to our database, Yiqiao Jin authored at least 25 papers between 2017 and 2024.

Collaborative distances:

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

2024

UniGuard: Towards Universal Safety Guardrails for Jailbreak Attacks on Multimodal Large Language Models.

Sejoon Oh, Yiqiao Jin, Megha Sharma, Donghyun Kim, Eric Ma, Gaurav Verma, Srijan Kumar

CoRR, 2024

Scito2M: A 2 Million, 30-Year Cross-disciplinary Dataset for Temporal Scientometric Analysis.

Yiqiao Jin, Yijia Xiao, Yiyang Wang, Jindong Wang

CoRR, 2024

MedHalu: Hallucinations in Responses to Healthcare Queries by Large Language Models.

Vibhor Agarwal, Yiqiao Jin, Mohit Chandra, Munmun De Choudhury, Srijan Kumar, Nishanth Sastry

CoRR, 2024

ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding.

Yijia Xiao, Edward Sun, Yiqiao Jin, Qifan Wang, Wei Wang

CoRR, 2024

Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories.

Yiqiao Jin, Andrew Zhao, Yeon-Chang Lee, Meng Ye, Ajay Divakaran, Srijan Kumar

CoRR, 2024

Prototypical Reward Network for Data-Efficient RLHF.

Jinghan Zhang, Xiting Wang, Yiqiao Jin, Changyu Chen, Xinhao Zhang, Kunpeng Liu

CoRR, 2024

Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas.

Chengyuan Deng, Yiqun Duan, Xin Jin, Heng Chang, Yijun Tian, Han Liu, Henry Peng Zou, Yiqiao Jin, Yijia Xiao, Yichen Wang, Shenghao Wu, Zongxing Xie, Kuofeng Gao, Sihong He, Jun Zhuang, Lu Cheng, Haohan Wang

CoRR, 2024

Towards Fair Graph Anomaly Detection: Problem, New Datasets, and Evaluation.

Neng Kai Nigel Neo, Yeon-Chang Lee, Yiqiao Jin, Sang-Wook Kim, Srijan Kumar

CoRR, 2024

Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries.

Yiqiao Jin, Mohit Chandra, Gaurav Verma, Yibo Hu, Munmun De Choudhury, Srijan Kumar

Proceedings of the ACM on Web Conference 2024, 2024

CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents.

Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Large Language Models Can Be Contextual Privacy Protection Learners.

Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Quanquan Gu, Haifeng Chen, Wei Wang, Wei Cheng

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

AgentReview: Exploring Peer Review Dynamics with LLM Agents.

Yiqiao Jin, Qinlin Zhao, Yiyang Wang, Hao Chen, Kaijie Zhu, Yijia Xiao, Jindong Wang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation.

Neng Kai Nigel Neo, Yeon-Chang Lee, Yiqiao Jin, Sang-Wook Kim, Srijan Kumar

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

Prototypical Reward Network for Data-Efficient Model Alignment.

Jinghan Zhang, Xiting Wang, Yiqiao Jin, Changyu Chen, Xinhao Zhang, Kunpeng Liu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

MM-SOC: Benchmarking Multimodal Large Language Models in Social Media Platforms.

Yiqiao Jin, Minje Choi, Gaurav Verma, Jindong Wang, Srijan Kumar

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

2023

CompeteAI: Understanding the Competition Behaviors in Large Language Model-based Agents.

Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie

CoRR, 2023

Large Language Models Can Be Good Privacy Protection Learners.

Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Haifeng Chen, Wei Wang, Wei Cheng

CoRR, 2023

Code Recommendation for Open Source Software Developers.

Yiqiao Jin, Yunsheng Bai, Yanqiao Zhu, Yizhou Sun, Wei Wang

Proceedings of the ACM Web Conference 2023, 2023

Predicting Information Pathways Across Online Communities.

Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma, Meng Ye, Karan Sikka, Ajay Divakaran, Srijan Kumar

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Semi-Offline Reinforcement Learning for Optimized Text Generation.

Changyu Chen, Xiting Wang, Yiqiao Jin, Victor Ye Dong, Li Dong, Jie Cao, Yi Liu, Rui Yan

Proceedings of the International Conference on Machine Learning, 2023

Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes.

Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Reinforcement Subgraph Reasoning for Fake News Detection.

Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Towards Fine-Grained Reasoning for Fake News Detection.

Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

A Method to Validate Operational Capability Index Model of Heterogeneous Combat Networks Based on Characteristic Topology Analysis.

Kebin Chen, Yunjun Lu, Qian Liu, Yiqiao Jin, Mengyao Han

IEEE Access, 2020

2017

A Real-Time Visualization Defense Framework for DDoS Attack.

Yiqiao Jin, Qidi Liang, Jian Zhang, Ou Jin

Proceedings of the Data Science, 2017