Yiqiao Jin

Orcid: 0000-0002-6974-5970

According to our database¹, Yiqiao Jin authored at least 23 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories.

[BibT_eX]

[DOI]

CoRR, 2024

Prototypical Reward Network for Data-Efficient RLHF.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

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

[BibT_eX]

[DOI]

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

Large Language Models Can Be Contextual Privacy Protection Learners.

[BibT_eX]

[DOI]

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

AgentReview: Exploring Peer Review Dynamics with LLM Agents.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Prototypical Reward Network for Data-Efficient Model Alignment.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Large Language Models Can Be Good Privacy Protection Learners.

[BibT_eX]

[DOI]

CoRR, 2023

Code Recommendation for Open Source Software Developers.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Predicting Information Pathways Across Online Communities.

[BibT_eX]

[DOI]

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

Semi-Offline Reinforcement Learning for Optimized Text Generation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

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

[BibT_eX]

[DOI]

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

2022

Reinforcement Subgraph Reasoning for Fake News Detection.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Access, 2020

2017

A Real-Time Visualization Defense Framework for DDoS Attack.

[BibT_eX]

[DOI]

Proceedings of the Data Science, 2017

Yiqiao Jin

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