Feng, Shangbin
University of Washington
9 papers on CoChatORCID 0000-0002-4133-1987
Most cited papers
- Verified
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models
Feng, S., Park, C. Y., Liu, Y., & Tsvetkov, Y. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Hate Speech and Cyberbullying DetectionEthics and Social Impacts of AI
Cited by 149
- Verified
Don’t Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration
Feng, S., Shi, W., Wang, Y., Ding, W., Balachandran, V., & Tsvetkov, Y. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Topic ModelingNatural Language Processing Techniques
Cited by 40
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Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence
Feng, S., Wang, Z., Wang, Y., Ebrahimi, S., Palangi, H., Miculicich, L., Kulshrestha, A., Rauschmayr, N., Choi, Y., Tsvetkov, Y., et al. (2024) · arXiv
Domain Adaptation and Few-Shot LearningTopic Modeling
Cited by 24
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MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning
Li, S., Balachandran, V., Feng, S., Ilgen, J., Pierson, E., Koh, P., & Tsvetkov, Y. (2024) · Advances in Neural Information Processing Systems 37
Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications
Cited by 19
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Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration
Feng, S., Sorensen, T., Liu, Y., Fisher, J., Park, C. Y., Choi, Y., & Tsvetkov, Y. (2024) · arXiv
Ethics and Social Impacts of AITopic Modeling
Cited by 18
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Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems
Feng, S., Wang, Z., Goyal, P., Wang, Y., Shi, W., Xia, H., Palangi, H., Zettlemoyer, L., Tsvetkov, Y., Lee, C.-Y., et al. (2025) · arXiv
Topic ModelingMetaheuristic Optimization Algorithms Research
Cited by 18
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Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks
Wang, Y., Feng, S., Hou, A. B., Pu, X., Shen, C., Liu, X., Tsvetkov, Y., & He, T. (2024) · arXiv
Adversarial Robustness in Machine LearningAuthorship Attribution and Profiling
Cited by 2
- Verified
Sparta alignment: Collectively aligning multiple language models through combat
Jiang, Y., Ding, W., Feng, S., Durrett, G., & Tsvetkov, Y. (2025) · Advances in Neural Information Processing Systems 38
Topic ModelingNatural Language Processing Techniques
Cited by 0
- Verified
FACTS&EVIDENCE: An Interactive Tool for Transparent Fine-Grained Factual Verification of Machine-Generated Text
Boonsanong, V., Balachandran, V., Han, X., Feng, S., Wang, L. L., & Tsvetkov, Y. (2025) · arXiv
Misinformation and Its ImpactsTopic Modeling
Cited by 0
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