BotRGCN: Twitter bot detection with relational graph convolutional networks. - Shangbin Feng; Herun Wan; Ningnan Wang; Minnan Luo (ASONAM, 2021)

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 (CIKM, 2021)

TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark. - Shangbin Feng; Herun Wan; Ningnan Wang; Jundong Li; Minnan Luo (CIKM, 2021)

Knowledge Graph Augmented Political Perspective Detection in News Media. - Shangbin Feng; Zilong Chen; Qingyao Li; Minnan Luo (CoRR, 2021)

Encoding Heterogeneous Social and Political Context for Entity Stance Prediction. - Shangbin Feng; Zilong Chen; Peisheng Yu; Minnan Luo (CoRR, 2021)

PPSGCN: A Privacy-Preserving Subgraph Sampling Based Distributed GCN Training Method. - Binchi Zhang; Minnan Luo; Shangbin Feng; Ziqi Liu; Jun Zhou 011; Qinghua Zheng (CoRR, 2021)

Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers. - Shangbin Feng; Zhaoxuan Tan; Rui Li; Minnan Luo (AAAI, 2022)

GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search. - Xinshun Feng; Herun Wan; Shangbin Feng; Hongrui Wang 004; Qinghua Zheng; Jun Zhou 011; Minnan Luo (CIKM, 2022)

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 (EMNLP, 2022)

KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media. - Wenqian Zhang; Shangbin Feng; Zilong Chen; Zhenyu Lei 004; Jundong Li; Minnan Luo (NAACL-HLT, 2022)

TwiBot-22: Towards Graph-Based Twitter Bot Detection. - Shangbin Feng; Zhaoxuan Tan; Herun Wan; Ningnan Wang; Zilong Chen; Binchi Zhang; Qinghua Zheng; Wenqian Zhang; Zhenyu Lei 004; Shujie Yang; Xinshun Feng; Qingyue Zhang; et al. (NeurIPS, 2022)

AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach. - Shujie Yang; Binchi Zhang; Shangbin Feng; Zhaoxuan Tan; Qinghua Zheng; Jun Zhou 011; Minnan Luo (CoRR, 2022)

BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency. - Zhenyu Lei 004; Herun Wan; Wenqian Zhang; Shangbin Feng; Zilong Chen; Qinghua Zheng; Minnan Luo (CoRR, 2022)

Datavoidant: An AI System for Addressing Political Data Voids on Social Media. - Claudia Flores-Saviaga; Shangbin Feng; Saiph Savage (Proc. ACM Hum. Comput. Interact., 2022)

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 (ACL (1), 2023)

KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding. - Shangbin Feng; Zhaoxuan Tan; Wenqian Zhang; Zhenyu Lei 004; Yulia Tsvetkov (ACL (1), 2023)

BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency. - Zhenyu Lei 004; Herun Wan; Wenqian Zhang; Shangbin Feng; Zilong Chen; Jundong Li; Qinghua Zheng; Minnan Luo (ACL (1), 2023)

FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge. - Shangbin Feng; Vidhisha Balachandran; Yuyang Bai; Yulia Tsvetkov (EMNLP, 2023)

BotPercent: Estimating Bot Populations in Twitter Communities. - Zhaoxuan Tan; Shangbin Feng; Melanie Sclar; Herun Wan; Minnan Luo; Yejin Choi 001; Yulia Tsvetkov (EMNLP (Findings), 2023)

Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks. - Heng Wang 008; Wenqian Zhang; Yuyang Bai; Zhaoxuan Tan; Shangbin Feng; Qinghua Zheng; Minnan Luo (EMNLP, 2023)

Can Language Models Solve Graph Problems in Natural Language? - Heng Wang 008; Shangbin Feng; Tianxing He; Zhaoxuan Tan; Xiaochuang Han; Yulia Tsvetkov (NeurIPS, 2023)

BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts. - Yuhan Liu; Zhaoxuan Tan; Heng Wang 008; Shangbin Feng; Qinghua Zheng; Minnan Luo (SIGIR, 2023)

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 (WWW, 2023)

BotPercent: Estimating Twitter Bot Populations from Groups to Crowds. - Zhaoxuan Tan; Shangbin Feng; Melanie Sclar; Herun Wan; Minnan Luo; Yejin Choi 001; Yulia Tsvetkov (CoRR, 2023)

CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge. - Shangbin Feng; Weijia Shi; Yuyang Bai; Vidhisha Balachandran; Tianxing He; Yulia Tsvetkov (CoRR, 2023)

Resolving Knowledge Conflicts in Large Language Models. - Yike Wang 002; Shangbin Feng; Heng Wang 008; Weijia Shi; Vidhisha Balachandran; Tianxing He; Yulia Tsvetkov (CoRR, 2023)

Knowledge Crosswords: Geometric Reasoning over Structured Knowledge with Large Language Models. - Wenxuan Ding 001; Shangbin Feng; Yuhan Liu; Zhaoxuan Tan; Vidhisha Balachandran; Tianxing He; Yulia Tsvetkov (CoRR, 2023)

What Constitutes a Faithful Summary? Preserving Author Perspectives in News Summarization. - Yuhan Liu; Shangbin Feng; Xiaochuang Han; Vidhisha Balachandran; Chan Young Park; Sachin Kumar 009; Yulia Tsvetkov (CoRR, 2023)

Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models. - Wenxuan Ding 001; Shangbin Feng; Yuhan Liu; Zhaoxuan Tan; Vidhisha Balachandran; Tianxing He; Yulia Tsvetkov (ACL (Findings), 2024)

Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration. - Shangbin Feng; Weijia Shi; Yike Wang 002; Wenxuan Ding 001; Vidhisha Balachandran; Yulia Tsvetkov (ACL (1), 2024)

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 (ACL (1), 2024)

DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection. - Herun Wan; Shangbin Feng; Zhaoxuan Tan; Heng Wang 008; Yulia Tsvetkov; Minnan Luo (ACL (Findings), 2024)

Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks. - Yichen Wang 002; Shangbin Feng; Abe Bohan Hou; Xiao Pu 003; Chao Shen 001; Xiaoming Liu 001; Yulia Tsvetkov; Tianxing He (ACL (1), 2024)

Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples. - Qingkai Zeng 001; Yuyang Bai; Zhaoxuan Tan; Shangbin Feng; Zhenwen Liang; Zhihan Zhang 001; Meng Jiang 001 (CIKM, 2024)

Teaching LLMs to Abstain across Languages via Multilingual Feedback. - Shangbin Feng; Weijia Shi; Yike Wang 002; Wenxuan Ding 001; Orevaoghene Ahia; Shuyue Stella Li; Vidhisha Balachandran; Sunayana Sitaram; Yulia Tsvetkov (EMNLP, 2024)

Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration. - Shangbin Feng; Taylor Sorensen; Yuhan Liu; Jillian Fisher; Chan Young Park; Yejin Choi 001; Yulia Tsvetkov (EMNLP, 2024)

Can LLM Graph Reasoning Generalize beyond Pattern Memorization? - Yizhuo Zhang 001; Heng Wang 008; Shangbin Feng; Zhaoxuan Tan; Xiaochuang Han; Tianxing He; Yulia Tsvetkov (EMNLP (Findings), 2024)

Beyond the Stethoscope: Operationalizing Interactive Clinical Reasoning in Large Language Models via Proactive Information Seeking. - Shuyue Stella Li; Vidhisha Balachandran; Shangbin Feng; Emma Pierson; Pang Wei Koh; Yulia Tsvetkov (ICHI, 2024)

Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models. - Shangbin Feng; Weijia Shi; Yuyang Bai; Vidhisha Balachandran; Tianxing He; Yulia Tsvetkov (ICLR, 2024)

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 009; Yulia Tsvetkov (NAACL-HLT, 2024)

MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning. - Shuyue Stella Li; Vidhisha Balachandran; Shangbin Feng; Jonathan Ilgen; Emma Pierson; Pang Wei W. Koh; Yulia Tsvetkov (NeurIPS, 2024)

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 (WWW, 2024)

MEDIQ: Question-Asking LLMs for Adaptive and Reliable Clinical Reasoning. - Shuyue Stella Li; Vidhisha Balachandran; Shangbin Feng; Jonathan Ilgen; Emma Pierson; Pang Wei Koh; Yulia Tsvetkov (CoRR, 2024)

The Art of Refusal: A Survey of Abstention in Large Language Models. - Bingbing Wen; Jihan Yao; Shangbin Feng; Chenjun Xu; Yulia Tsvetkov; Bill Howe; Lucy Lu Wang (CoRR, 2024)

Biased AI can Influence Political Decision-Making. - Jillian Fisher; Shangbin Feng; Robert Aron; Thomas Richardson; Yejin Choi 001; Daniel W. Fisher; Jennifer Pan; Yulia Tsvetkov; Katharina Reinecke (CoRR, 2024)

Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence. - Shangbin Feng; Zifeng Wang 002; Yike Wang 002; Sayna Ebrahimi; Hamid Palangi; Lesly Miculicich; Achin Kulshrestha; Nathalie Rauschmayr; Yejin Choi 001; Yulia Tsvetkov; Chen-Yu Lee; Tomas Pfister (CoRR, 2024)

CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts. - Qingkai Zeng 001; Yuyang Bai; Zhaoxuan Tan; Zhenyu Wu 004; Shangbin Feng; Meng Jiang 001 (ACL (Findings), 2025)

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 (ACL (1), 2025)

Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only. - Jihan Yao; Wenxuan Ding 001; Shangbin Feng; Lucy Lu Wang; Yulia Tsvetkov (ICLR, 2025)

Know Your Limits: A Survey of Abstention in Large Language Models. - Bingbing Wen; Jihan Yao; Shangbin Feng; Chenjun Xu; Yulia Tsvetkov; Bill Howe; Lucy Lu Wang (Trans. Assoc. Comput. Linguistics, 2025)

When One LLM Drools, Multi-LLM Collaboration Rules. - Shangbin Feng; Wenxuan Ding 001; Alisa Liu; Zifeng Wang 002; Weijia Shi; Yike Wang 002; Zejiang Shen 001; Xiaochuang Han; Hunter Lang; Chen-Yu Lee; Tomas Pfister; Yejin Choi 001; et al. (CoRR, 2025)

Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems. - Shangbin Feng; Zifeng Wang 002; Palash Goyal; Yike Wang 002; Weijia Shi; Huang Xia; Hamid Palangi; Luke Zettlemoyer; Yulia Tsvetkov; Chen-Yu Lee; Tomas Pfister (CoRR, 2025)

Political Neutrality in AI is Impossible- But Here is How to Approximate it. - Jillian Fisher; Ruth E. Appel; Chan Young Park; Yujin Potter; Liwei Jiang; Taylor Sorensen; Shangbin Feng; Yulia Tsvetkov; Margaret E. Roberts; Jennifer Pan; Dawn Song; Yejin Choi 001 (CoRR, 2025)

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 (CoRR, 2025)

Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection. - Yuwei Zhang 001; Wenhao Yu 002; Shangbin Feng; Yifan Zhu; Letian Peng; Jayanth Srinivasa; Gaowen Liu; Jingbo Shang (CoRR, 2025)

MMMG: a Comprehensive and Reliable Evaluation Suite for Multitask Multimodal Generation. - Jihan Yao; Yushi Hu; Yujie Yi; Bin Han 011; Shangbin Feng; Guang Yang; Bingbing Wen; Ranjay Krishna; Lucy Lu Wang; Yulia Tsvetkov; Noah A. Smith; Banghua Zhu (CoRR, 2025)

ScienceMeter: Tracking Scientific Knowledge Updates in Language Models. - Yike Wang 002; Shangbin Feng; Yulia Tsvetkov; Hannaneh Hajishirzi (CoRR, 2025)

Data Swarms: Optimizable Generation of Synthetic Evaluation Data. - Shangbin Feng; Yike Wang 002; Weijia Shi; Yulia Tsvetkov (CoRR, 2025)

GuessBench: Sensemaking Multimodal Creativity in the Wild. - Zifeng Zhu; Shangbin Feng; Herun Wan; Ningnan Wang; Minnan Luo; Yulia Tsvetkov (CoRR, 2025)

Generalizable LLM Learning of Graph Synthetic Data with Reinforcement Learning. - Yizhuo Zhang 001; Heng Wang 008; Shangbin Feng; Zhaoxuan Tan; Xinyun Liu; Yulia Tsvetkov (CoRR, 2025)

SPARTA ALIGNMENT: Collectively Aligning Multiple Language Models through Combat. - Yuru Jiang; Wenxuan Ding 001; Shangbin Feng; Greg Durrett; Yulia Tsvetkov (CoRR, 2025)

Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations? - Yiwei Yang 009; Chung Peng Lee; Shangbin Feng; Dora Zhao; Bingbing Wen; Anthony Z. Liu; Yulia Tsvetkov; Bill Howe (CoRR, 2025)

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 (CoRR, 2025)