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ORCIDYiqiao Jin
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2020 – today
- 2024
[c14]Yiqiao Jin, Minje Choi, Gaurav Verma, Jindong Wang, Srijan Kumar:
MM-SOC: Benchmarking Multimodal Large Language Models in Social Media Platforms. ACL (Findings) 2024: 6192-6210- [c13]Jinghan Zhang, Xiting Wang, Yiqiao Jin, Changyu Chen, Xinhao Zhang, Kunpeng Liu:
Prototypical Reward Network for Data-Efficient Model Alignment. ACL (1) 2024: 13871-13884 - [c12]Neng Kai Nigel Neo, Yeon-Chang Lee, Yiqiao Jin, Sang-Wook Kim, Srijan Kumar:
Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation. CIKM 2024: 1752-1762 - [c11]Yiqiao Jin, Qinlin Zhao, Yiyang Wang, Hao Chen, Kaijie Zhu, Yijia Xiao, Jindong Wang:
AgentReview: Exploring Peer Review Dynamics with LLM Agents. EMNLP 2024: 1208-1226 - [c10]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:
Large Language Models Can Be Contextual Privacy Protection Learners. EMNLP 2024: 14179-14201 - [c9]Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie:
CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents. ICML 2024 - [c8]Yiqiao Jin
, Mohit Chandra, Gaurav Verma, Yibo Hu, Munmun De Choudhury, Srijan Kumar:
Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries. WWW 2024: 2627-2638 - [i16]Yiqiao Jin, Minje Choi, Gaurav Verma, Jindong Wang, Srijan Kumar:
MM-Soc: Benchmarking Multimodal Large Language Models in Social Media Platforms. CoRR abs/2402.14154 (2024) - [i15]Neng Kai Nigel Neo, Yeon-Chang Lee, Yiqiao Jin, Sang-Wook Kim, Srijan Kumar:
Towards Fair Graph Anomaly Detection: Problem, New Datasets, and Evaluation. CoRR abs/2402.15988 (2024) - [i14]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:
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas. CoRR abs/2406.05392 (2024) - [i13]Jinghan Zhang, Xiting Wang, Yiqiao Jin, Changyu Chen, Xinhao Zhang, Kunpeng Liu:
Prototypical Reward Network for Data-Efficient RLHF. CoRR abs/2406.06606 (2024) - [i12]Yiqiao Jin, Qinlin Zhao, Yiyang Wang, Hao Chen, Kaijie Zhu, Yijia Xiao, Jindong Wang:
AgentReview: Exploring Peer Review Dynamics with LLM Agents. CoRR abs/2406.12708 (2024) - [i11]Yiqiao Jin, Andrew Zhao, Yeon-Chang Lee, Meng Ye, Ajay Divakaran, Srijan Kumar:
Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories. CoRR abs/2406.17963 (2024) - [i10]Yijia Xiao, Edward Sun, Yiqiao Jin, Qifan Wang, Wei Wang:
ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding. CoRR abs/2408.11363 (2024) - [i9]Vibhor Agarwal, Yiqiao Jin, Mohit Chandra, Munmun De Choudhury, Srijan Kumar, Nishanth Sastry:
MedHalu: Hallucinations in Responses to Healthcare Queries by Large Language Models. CoRR abs/2409.19492 (2024) - 2023
- [c7]Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie:
Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes. AAAI 2023: 12968-12976 - [c6]Changyu Chen, Xiting Wang, Yiqiao Jin, Victor Ye Dong, Li Dong, Jie Cao, Yi Liu, Rui Yan:
Semi-Offline Reinforcement Learning for Optimized Text Generation. ICML 2023: 5087-5103 - [c5]Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma, Meng Ye, Karan Sikka, Ajay Divakaran, Srijan Kumar:
Predicting Information Pathways Across Online Communities. KDD 2023: 1044-1056 - [c4]Yiqiao Jin, Yunsheng Bai, Yanqiao Zhu, Yizhou Sun, Wei Wang:
Code Recommendation for Open Source Software Developers. WWW 2023: 1324-1333 - [i8]Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma, Meng Ye, Karan Sikka, Ajay Divakaran, Srijan Kumar:
Predicting Information Pathways Across Online Communities. CoRR abs/2306.02259 (2023) - [i7]Changyu Chen, Xiting Wang, Yiqiao Jin, Victor Ye Dong, Li Dong, Jie Cao, Yi Liu, Rui Yan:
Semi-Offline Reinforcement Learning for Optimized Text Generation. CoRR abs/2306.09712 (2023) - [i6]Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Haifeng Chen, Wei Wang, Wei Cheng:
Large Language Models Can Be Good Privacy Protection Learners. CoRR abs/2310.02469 (2023) - [i5]Yiqiao Jin, Mohit Chandra, Gaurav Verma, Yibo Hu, Munmun De Choudhury, Srijan Kumar:
Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries. CoRR abs/2310.13132 (2023) - [i4]Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie:
CompeteAI: Understanding the Competition Behaviors in Large Language Model-based Agents. CoRR abs/2310.17512 (2023) - 2022
- [c3]Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie:
Towards Fine-Grained Reasoning for Fake News Detection. AAAI 2022: 5746-5754 - [c2]Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie:
Reinforcement Subgraph Reasoning for Fake News Detection. KDD 2022: 2253-2262 - [i3]Yiqiao Jin, Yunsheng Bai, Yanqiao Zhu, Yizhou Sun, Wei Wang:
Code Recommendation for Open Source Software Developers. CoRR abs/2210.08332 (2022) - [i2]Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie:
Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes. CoRR abs/2211.13638 (2022) - 2021
- [i1]Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie:
Towards Fine-Grained Reasoning for Fake News Detection. CoRR abs/2110.15064 (2021) - 2020
- [j1]Kebin Chen, Yunjun Lu, Qian Liu, Yiqiao Jin, Mengyao Han:
A Method to Validate Operational Capability Index Model of Heterogeneous Combat Networks Based on Characteristic Topology Analysis. IEEE Access 8: 59760-59773 (2020)
2010 – 2019
- 2017
- [c1]Yiqiao Jin, Qidi Liang, Jian Zhang, Ou Jin:
A Real-Time Visualization Defense Framework for DDoS Attack. ICPCSEE (1) 2017: 341-351
Coauthor Index
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