Shangbin Feng
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
38
Venues
10
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
38 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | When One LLM Drools, Multi-LLM Collaboration Rules. | Shangbin Feng, Wenxuan Ding, Alisa Liu, Zifeng Wang, Weijia Shi, Yike Wang, Shannon Zejiang Shen, Xiaochuang Han, Hunter Lang, Chen-Yu Lee, Tomas Pfister, Yejin Choi, Yulia Tsvetkov |
| 2026 | ACL | Data Swarms: Optimizable Generation of Synthetic Evaluation Data. | Shangbin Feng, Yike Wang, Weijia Shi, Yulia Tsvetkov |
| 2026 | ACL | Among Us: Measuring and Mitigating Malicious Contributions in Model Collaboration Systems. | Ziyuan Yang, Wenxuan Ding, Shangbin Feng, Yulia Tsvetkov |
| 2026 | ACL | Generalizable LLM Learning of Graph Synthetic Data with Post-training Alignment. | Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xinyun Liu, Yulia Tsvetkov |
| 2026 | ACL | Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection. | Yuwei Zhang, Wenhao Yu, Shangbin Feng, Yifan Zhu, Letian Peng, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang |
| 2026 | IUI | Interactive Reasoning: Visualizing and Controlling Chain-of-Thought Reasoning in Large Language Models. | Rock Yuren Pang, K. J. Kevin Feng, Shangbin Feng, Chu Li, Weijia Shi, Yulia Tsvetkov, Jeffrey Heer, Katharina Reinecke |
| 2025 | ACL | CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts. | Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Zhenyu Wu, Shangbin Feng, Meng Jiang |
| 2025 | ACL | Biased LLMs can Influence Political Decision-Making. | Jillian Fisher, Shangbin Feng, Robert Aron, Thomas Richardson, Yejin Choi, Daniel W. Fisher, Jennifer Pan, Yulia Tsvetkov, Katharina Reinecke |
| 2025 | ICLR | Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only. | Jihan Yao, Wenxuan Ding, Shangbin Feng, Lucy Lu Wang, Yulia Tsvetkov |
| 2025 | ICML | Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence. | Shangbin Feng, Zifeng Wang, Yike Wang, Sayna Ebrahimi, Hamid Palangi, Lesly Miculicich, Achin Kulshrestha, Nathalie Rauschmayr, Yejin Choi, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister |
| 2025 | ICML | Position: Political Neutrality in AI Is Impossible - But Here Is How to Approximate It. | Jillian Fisher, Ruth Elisabeth Appel, Chan Young Park, Yujin Potter, Liwei Jiang, Taylor Sorensen, Shangbin Feng, Yulia Tsvetkov, Margaret E. Roberts, Jennifer Pan, Dawn Song, Yejin Choi |
| 2025 | NAACL | FACTS&EVIDENCE: An Interactive Tool for Transparent Fine-Grained Factual Verification of Machine-Generated Text. | Varich Boonsanong, Vidhisha Balachandran, Xiaochuang Han, Shangbin Feng, Lucy Lu Wang, Yulia Tsvetkov |
| 2024 | ACL | Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models. | Wenxuan Ding, Shangbin Feng, Yuhan Liu, Zhaoxuan Tan, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov |
| 2024 | ACL | Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration. | Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, Yulia Tsvetkov |
| 2024 | ACL | What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection. | Shangbin Feng, Herun Wan, Ningnan Wang, Zhaoxuan Tan, Minnan Luo, Yulia Tsvetkov |
| 2024 | ACL | DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection. | Herun Wan, Shangbin Feng, Zhaoxuan Tan, Heng Wang, Yulia Tsvetkov, Minnan Luo |
| 2024 | ACL | Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks. | Yichen Wang, Shangbin Feng, Abe Bohan Hou, Xiao Pu, Chao Shen, Xiaoming Liu, Yulia Tsvetkov, Tianxing He |
| 2024 | CIKM | Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples. | Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Zhenwen Liang, Zhihan Zhang, Meng Jiang |
| 2024 | EMNLP | Teaching LLMs to Abstain across Languages via Multilingual Feedback. | Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Orevaoghene Ahia, Shuyue Stella Li, Vidhisha Balachandran, Sunayana Sitaram, Yulia Tsvetkov |
| 2024 | EMNLP | Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration. | Shangbin Feng, Taylor Sorensen, Yuhan Liu, Jillian Fisher, Chan Young Park, Yejin Choi, Yulia Tsvetkov |
| 2024 | EMNLP | Can LLM Graph Reasoning Generalize beyond Pattern Memorization? | Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xiaochuang Han, Tianxing He, Yulia Tsvetkov |
| 2024 | ICLR | Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models. | Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov |
| 2024 | NAACL | P³Sum: Preserving Author's Perspective in News Summarization with Diffusion Language Models. | Yuhan Liu, Shangbin Feng, Xiaochuang Han, Vidhisha Balachandran, Chan Young Park, Sachin Kumar, Yulia Tsvetkov |
| 2024 | WWW | KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models. | Yuyang Bai, Shangbin Feng, Vidhisha Balachandran, Zhaoxuan Tan, Shiqi Lou, Tianxing He, Yulia Tsvetkov |
| 2023 | ACL | From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models. | Shangbin Feng, Chan Young Park, Yuhan Liu, Yulia Tsvetkov |
| 2023 | ACL | KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding. | Shangbin Feng, Zhaoxuan Tan, Wenqian Zhang, Zhenyu Lei, Yulia Tsvetkov |
| 2023 | ACL | BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency. | Zhenyu Lei, Herun Wan, Wenqian Zhang, Shangbin Feng, Zilong Chen, Jundong Li, Qinghua Zheng, Minnan Luo |
| 2023 | EMNLP | FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge. | Shangbin Feng, Vidhisha Balachandran, Yuyang Bai, Yulia Tsvetkov |
| 2023 | EMNLP | BotPercent: Estimating Bot Populations in Twitter Communities. | Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov |
| 2023 | EMNLP | Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks. | Heng Wang, Wenqian Zhang, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Qinghua Zheng, Minnan Luo |
| 2023 | WWW | KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion. | Zhaoxuan Tan, Zilong Chen, Shangbin Feng, Qingyue Zhang, Qinghua Zheng, Jundong Li, Minnan Luo |
| 2023 | SIGIR | BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts. | Yuhan Liu, Zhaoxuan Tan, Heng Wang, Shangbin Feng, Qinghua Zheng, Minnan Luo |
| 2022 | AAAI | Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers. | Shangbin Feng, Zhaoxuan Tan, Rui Li, Minnan Luo |
| 2022 | CIKM | GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search. | Xinshun Feng, Herun Wan, Shangbin Feng, Hongrui Wang, Qinghua Zheng, Jun Zhou, Minnan Luo |
| 2022 | EMNLP | PAR: Political Actor Representation Learning with Social Context and Expert Knowledge. | Shangbin Feng, Zhaoxuan Tan, Zilong Chen, Ningnan Wang, Peisheng Yu, Qinghua Zheng, Xiaojun Chang, Minnan Luo |
| 2022 | NAACL | KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media. | Wenqian Zhang, Shangbin Feng, Zilong Chen, Zhenyu Lei, Jundong Li, Minnan Luo |
| 2021 | CIKM | SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection. | Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo |
| 2021 | CIKM | TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark. | Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo |