| From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models S Feng, CY Park, Y Liu, Y Tsvetkov ACL 2023, Best Paper Award 🏆, 2023 | 195 | 2023 |
| Twibot-20: A comprehensive twitter bot detection benchmark S Feng, H Wan, N Wang, J Li, M Luo CIKM 2021, Resource Track, 2021 | 143 | 2021 |
| Can Language Models Solve Graph Problems in Natural Language? H Wang, S Feng, T He, Z Tan, X Han, Y Tsvetkov NeurIPS 2023, Spotlight, 2023 | 128 | 2023 |
| BotRGCN: Twitter bot detection with relational graph convolutional networks S Feng, H Wan, N Wang, M Luo ASONAM 2021, 2021 | 116 | 2021 |
| TwiBot-22: Towards Graph-Based Twitter Bot Detection S Feng, Z Tan, H Wan, N Wang, Z Chen, B Zhang, Q Zheng, W Zhang, ... NeurIPS 2022, Datasets and Benchmarks Track, 2022 | 93 | 2022 |
| Heterogeneity-aware twitter bot detection with relational graph transformers S Feng, Z Tan, R Li, M Luo AAAI 2022, 2022 | 81 | 2022 |
| SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection S Feng, H Wan, N Wang, J Li, M Luo CIKM 2021, Applied Track, 2021 | 68 | 2021 |
| Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration S Feng, W Shi, Y Wang, W Ding, V Balachandran, Y Tsvetkov ACL 2024, Area Chair Award (QA track) 🏆 & Outstanding Paper Award 🏆, 2024 | 39 | 2024 |
| Factkb: Generalizable factuality evaluation using language models enhanced with factual knowledge S Feng, V Balachandran, Y Bai, Y Tsvetkov EMNLP 2023, 2023 | 36 | 2023 |
| KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion Z Tan, Z Chen, S Feng, Q Zhang, Q Zheng, J Li, M Luo The Web Conference 2023, 2022 | 35 | 2022 |
| BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency Z Lei, H Wan, W Zhang, S Feng, Z Chen, Q Zheng, M Luo ACL 2023, 2022 | 32 | 2022 |
| KGAP: Knowledge Graph Augmented Political Perspective Detection in News Media S Feng, Z Chen, W Zhang, Q Li, Q Zheng, X Chang, M Luo arXiv preprint arXiv:2108.03861, 2021 | 31 | 2021 |
| Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models S Feng, W Shi, Y Bai, V Balachandran, T He, Y Tsvetkov ICLR 2024, Oral, 2023 | 26* | 2023 |
| Resolving knowledge conflicts in large language models Y Wang, S Feng, H Wang, W Shi, V Balachandran, T He, Y Tsvetkov COLM 2024, 2023 | 24 | 2023 |
| KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media W Zhang, S Feng, Z Chen, Z Lei, J Li, M Luo NAACL 2022, 2022 | 24 | 2022 |
| BotPercent: Estimating Twitter Bot Populations from Groups to Crowds Z Tan, S Feng, M Sclar, H Wan, M Luo, Y Choi, Y Tsvetkov EMNLP 2023, findings, 2023 | 23* | 2023 |
| BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts Y Liu, Z Tan, H Wang, S Feng, Q Zheng, M Luo SIGIR 2023, 2023 | 21 | 2023 |
| DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection H Wan, S Feng, Z Tan, H Wang, Y Tsvetkov, M Luo ACL 2024, findings, 2024 | 20 | 2024 |
| PAR: Political Actor Representation Learning with Social Context and Expert Knowledge S Feng, Z Tan, Z Chen, N Wang, P Yu, Q Zheng, X Chang, M Luo EMNLP 2022, 2022 | 19* | 2022 |
| Modular pluralism: Pluralistic alignment via multi-llm collaboration S Feng, T Sorensen, Y Liu, J Fisher, CY Park, Y Choi, Y Tsvetkov EMNLP 2024, 2024 | 13 | 2024 |
Yulia TsvetkovUniversity of WashingtonVerified email at cs.washington.edu
