Yiqiao Jin

Orcid: 0000-0002-6974-5970

According to our database1, Yiqiao Jin authored at least 36 papers between 2017 and 2025.

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

Timeline

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Bibliography

2025
Efficient Knowledge Probing of Large Language Models by Adapting Pre-trained Embeddings.
CoRR, August, 2025

SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression.
CoRR, July, 2025

Sysformer: Safeguarding Frozen Large Language Models with Adaptive System Prompts.
CoRR, June, 2025

Topological Structure Learning Should Be A Research Priority for LLM-Based Multi-Agent Systems.
CoRR, May, 2025

Reasoning Is Not All You Need: Examining LLMs for Multi-Turn Mental Health Conversations.
CoRR, May, 2025

The Influence of Text Variation on User Engagement in Cross-Platform Content Sharing.
CoRR, May, 2025

Large Language Model Agent: A Survey on Methodology, Applications and Challenges.
CoRR, March, 2025

Protein Large Language Models: A Comprehensive Survey.
CoRR, February, 2025

CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries.
CoRR, January, 2025

ScreenLLM: Stateful Screen Schema for Efficient Action Understanding and Prediction.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

A Survey on Efficient Large Language Model Training: From Data-centric Perspectives.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
RNA-GPT: Multimodal Generative System for RNA Sequence Understanding.
CoRR, 2024

UniGuard: Towards Universal Safety Guardrails for Jailbreak Attacks on Multimodal Large Language Models.
CoRR, 2024

Scito2M: A 2 Million, 30-Year Cross-disciplinary Dataset for Temporal Scientometric Analysis.
CoRR, 2024

MedHalu: Hallucinations in Responses to Healthcare Queries by Large Language Models.
CoRR, 2024

ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding.
CoRR, 2024

Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories.
CoRR, 2024

Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas.
CoRR, 2024

Towards Fair Graph Anomaly Detection: Problem, New Datasets, and Evaluation.
CoRR, 2024

Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries.
Proceedings of the ACM on Web Conference 2024, 2024

CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Large Language Models Can Be Contextual Privacy Protection Learners.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

AgentReview: Exploring Peer Review Dynamics with LLM Agents.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Prototypical Reward Network for Data-Efficient RLHF.
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.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
CompeteAI: Understanding the Competition Behaviors in Large Language Model-based Agents.
CoRR, 2023

Large Language Models Can Be Good Privacy Protection Learners.
CoRR, 2023

Code Recommendation for Open Source Software Developers.
Proceedings of the ACM Web Conference 2023, 2023

Predicting Information Pathways Across Online Communities.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Semi-Offline Reinforcement Learning for Optimized Text Generation.
Proceedings of the International Conference on Machine Learning, 2023

Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Reinforcement Subgraph Reasoning for Fake News Detection.
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.
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.
IEEE Access, 2020

2017
A Real-Time Visualization Defense Framework for DDoS Attack.
Proceedings of the Data Science, 2017


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