Bohan Jiang

Orcid: 0000-0001-8552-2681

According to our database1, Bohan Jiang authored at least 27 papers between 2019 and 2025.

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

Timeline

Legend:

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PhD thesis 
Dataset
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Links

On csauthors.net:

Bibliography

2025
Are Today's LLMs Ready to Explain Well-Being Concepts?
CoRR, August, 2025

Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens.
CoRR, August, 2025

Preference Leakage: A Contamination Problem in LLM-as-a-judge.
CoRR, February, 2025

Trustworthy Visual-Textual Retrieval.
IEEE Trans. Image Process., 2025

In-Group Love, Out-Group Hate: A Framework to Measure Affective Polarization via Contentious Online Discussions.
Proceedings of the ACM on Web Conference 2025, 2025

Deep Automatic Alignment of Mpox Dermatological Hand Photography.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024
BlueTempNet: A Temporal Multi-network Dataset of Social Interactions in Bluesky Social.
Dataset, October, 2024

Assessing the Impact of Conspiracy Theories Using Large Language Models.
CoRR, 2024

Training Noise Token Pruning.
CoRR, 2024

From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge.
CoRR, 2024

LRQ-Fact: LLM-Generated Relevant Questions for Multimodal Fact-Checking.
CoRR, 2024

BlueTempNet: A Temporal Multi-network Dataset of Social Interactions in Bluesky Social.
CoRR, 2024

Large Language Models for Data Annotation: A Survey.
CoRR, 2024

Disinformation Detection: An Evolving Challenge in the Age of LLMs.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Monitoring Vegetation Restoration after Wildfires in Typical Boreal Forests Based on Multi-Source Remote Sensing Data.
Proceedings of the IGARSS 2024, 2024

Large Language Models for Data Annotation and Synthesis: A Survey.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media.
Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024

Catching Chameleons: Detecting Evolving Disinformation Generated using Large Language Models.
Proceedings of the 6th IEEE International Conference on Cognitive Machine Intelligence, 2024

Video Content Summarization with Large Language-Vision Models.
Proceedings of the IEEE International Conference on Big Data, 2024

2023
SocioHub: An Interactive Tool for Cross-Platform Social Media Data Collection.
CoRR, 2023

2022
CoVaxNet: An Online-Offline Data Repository for COVID-19 Vaccine Hesitancy Research.
CoRR, 2022

2021
A Survey on Echo Chambers on Social Media: Description, Detection and Mitigation.
CoRR, 2021

Mechanisms and Attributes of Echo Chambers in Social Media.
CoRR, 2021

Deep imitation reinforcement learning for self-driving by vision.
CAAI Trans. Intell. Technol., 2021

2020
MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation.
CoRR, 2020

Toward A Multilingual and Multimodal Data Repository for COVID-19 Disinformation.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
An Interaction-Aware predictive motion Planner for Unmanned Ground Vehicles in Dynamic Street Scenarios.
Int. J. Robotics Autom., 2019


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