Shangbin Feng

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 63

Top Topics

Document Understanding

Top Venues

Publications

Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Orevaoghene Ahia, Shuyue Stella Li, Vidhisha Balachandran, Sunayana Sitaram, Yulia Tsvetkov
Teaching LLMs to Abstain across Languages via Multilingual Feedback. CoRR (2024)
Yichen Wang, Shangbin Feng, Abe Bohan Hou, Xiao Pu, Chao Shen, Xiaoming Liu, Yulia Tsvetkov, Tianxing He
Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks. CoRR (2024)
Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Jonathan Ilgen, Emma Pierson, Pang Wei Koh, Yulia Tsvetkov
MEDIQ: Question-Asking LLMs for Adaptive and Reliable Clinical Reasoning. CoRR (2024)
Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xiaochuang Han, Tianxing He, Yulia Tsvetkov
Can LLM Graph Reasoning Generalize beyond Pattern Memorization? CoRR (2024)
Herun Wan, Shangbin Feng, Zhaoxuan Tan, Heng Wang, Yulia Tsvetkov, Minnan Luo
DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection. ACL (Findings) (2024)
Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Zhenwen Liang, Zhihan Zhang, Meng Jiang
Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples. CoRR (2024)
Herun Wan, Shangbin Feng, Zhaoxuan Tan, Heng Wang, Yulia Tsvetkov, Minnan Luo
DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection. CoRR (2024)
Yichen Wang, Shangbin Feng, Abe Bohan Hou, Xiao Pu, Chao Shen, Xiaoming Liu, Yulia Tsvetkov, Tianxing He
Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks. ACL (1) (2024)
Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models. ICLR (2024)
Yuhan Liu, Shangbin Feng, Xiaochuang Han, Vidhisha Balachandran, Chan Young Park, Sachin Kumar, Yulia Tsvetkov
P³Sum: Preserving Author's Perspective in News Summarization with Diffusion Language Models. NAACL-HLT (2024)
Bingbing Wen, Jihan Yao, Shangbin Feng, Chenjun Xu, Yulia Tsvetkov, Bill Howe, Lucy Lu Wang
The Art of Refusal: A Survey of Abstention in Large Language Models. CoRR (2024)
Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, Yulia Tsvetkov
Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration. CoRR (2024)
Yuyang Bai, Shangbin Feng, Vidhisha Balachandran, Zhaoxuan Tan, Shiqi Lou, Tianxing He, Yulia Tsvetkov
KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models. WWW (2024)
Shangbin Feng, Herun Wan, Ningnan Wang, Zhaoxuan Tan, Minnan Luo, Yulia Tsvetkov
What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection. CoRR (2024)
Shangbin Feng, Herun Wan, Ningnan Wang, Zhaoxuan Tan, Minnan Luo, Yulia Tsvetkov
What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection. ACL (1) (2024)
Shangbin Feng, Taylor Sorensen, Yuhan Liu, Jillian Fisher, Chan Young Park, Yejin Choi, Yulia Tsvetkov
Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration. CoRR (2024)
Wenxuan Ding, Shangbin Feng, Yuhan Liu, Zhaoxuan Tan, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models. ACL (Findings) (2024)
Shangbin Feng, Zhaoxuan Tan, Wenqian Zhang, Zhenyu Lei, Yulia Tsvetkov
KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding. ACL (1) (2023)
Shangbin Feng, Vidhisha Balachandran, Yuyang Bai, Yulia Tsvetkov
FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge. CoRR (2023)
Yuhan Liu, Shangbin Feng, Xiaochuang Han, Vidhisha Balachandran, Chan Young Park, Sachin Kumar, Yulia Tsvetkov
What Constitutes a Faithful Summary? Preserving Author Perspectives in News Summarization. CoRR (2023)
Shangbin Feng, Chan Young Park, Yuhan Liu, Yulia Tsvetkov
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models. CoRR (2023)
Yuhan Liu, Zhaoxuan Tan, Heng Wang, Shangbin Feng, Qinghua Zheng, Minnan Luo
BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts. CoRR (2023)
Shangbin Feng, Chan Young Park, Yuhan Liu, Yulia Tsvetkov
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models. ACL (1) (2023)
Heng Wang, Wenqian Zhang, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Qinghua Zheng, Minnan Luo
Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks. EMNLP (2023)
Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge. CoRR (2023)
Zhaoxuan Tan, Zilong Chen, Shangbin Feng, Qingyue Zhang, Qinghua Zheng, Jundong Li, Minnan Luo
KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion. WWW (2023)
Wenxuan Ding, Shangbin Feng, Yuhan Liu, Zhaoxuan Tan, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
Knowledge Crosswords: Geometric Reasoning over Structured Knowledge with Large Language Models. CoRR (2023)
Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov
BotPercent: Estimating Bot Populations in Twitter Communities. EMNLP (Findings) (2023)
Yuyang Bai, Shangbin Feng, Vidhisha Balachandran, Zhaoxuan Tan, Shiqi Lou, Tianxing He, Yulia Tsvetkov
KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models. CoRR (2023)
Shangbin Feng, Vidhisha Balachandran, Yuyang Bai, Yulia Tsvetkov
FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge. EMNLP (2023)
Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, Yulia Tsvetkov
Can Language Models Solve Graph Problems in Natural Language? CoRR (2023)
Yuhan Liu, Zhaoxuan Tan, Heng Wang, Shangbin Feng, Qinghua Zheng, Minnan Luo
BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts. SIGIR (2023)
Yike Wang, Shangbin Feng, Heng Wang, Weijia Shi, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
Resolving Knowledge Conflicts in Large Language Models. CoRR (2023)
Zhenyu Lei, Herun Wan, Wenqian Zhang, Shangbin Feng, Zilong Chen, Jundong Li, Qinghua Zheng, Minnan Luo
BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency. ACL (1) (2023)
Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov
BotPercent: Estimating Twitter Bot Populations from Groups to Crowds. CoRR (2023)
Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, Yulia Tsvetkov
Can Language Models Solve Graph Problems in Natural Language? NeurIPS (2023)
Heng Wang, Wenqian Zhang, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Qinghua Zheng, Minnan Luo
Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks. CoRR (2023)
Zhaoxuan Tan, Zilong Chen, Shangbin Feng, Qingyue Zhang, Qinghua Zheng, Jundong Li, Minnan Luo
KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion. CoRR (2022)
Shangbin Feng, Zhaoxuan Tan, Zilong Chen, Ningnan Wang, Peisheng Yu, Qinghua Zheng, Xiaojun Chang, Minnan Luo
PAR: Political Actor Representation Learning with Social Context and Expert Knowledge. EMNLP (2022)
Shangbin Feng, Zhaoxuan Tan, Wenqian Zhang, Zhenyu Lei, Yulia Tsvetkov
KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding. CoRR (2022)
Claudia Flores-Saviaga, Shangbin Feng, Saiph Savage
Datavoidant: An AI System for Addressing Political Data Voids on Social Media. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Wenqian Zhang, Shangbin Feng, Zilong Chen, Zhenyu Lei, Jundong Li, Minnan Luo
KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media. NAACL-HLT (2022)
Shangbin Feng, Zhaoxuan Tan, Zilong Chen, Ningnan Wang, Peisheng Yu, Qinghua Zheng, Xiaojun Chang, Minnan Luo
PAR: Political Actor Representation Learning with Social Context and Expert Knowledge. CoRR (2022)
Xinshun Feng, Herun Wan, Shangbin Feng, Hongrui Wang, Jun Zhou, Qinghua Zheng, Minnan Luo
GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search. CoRR (2022)
Zhenyu Lei, Herun Wan, Wenqian Zhang, Shangbin Feng, Zilong Chen, Qinghua Zheng, Minnan Luo
BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency. CoRR (2022)
Claudia Flores-Saviaga, Shangbin Feng, Saiph Savage
Datavoidant: An AI System for Addressing Political Data Voids on Social Media. CoRR (2022)
Shujie Yang, Binchi Zhang, Shangbin Feng, Zhaoxuan Tan, Qinghua Zheng, Jun Zhou, Minnan Luo
AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach. CoRR (2022)
Shangbin Feng, Zhaoxuan Tan, Rui Li, Minnan Luo
Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers. AAAI (2022)
Xinshun Feng, Herun Wan, Shangbin Feng, Hongrui Wang, Qinghua Zheng, Jun Zhou, Minnan Luo
GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search. CIKM (2022)
Wenqian Zhang, Shangbin Feng, Zilong Chen, Zhenyu Lei, Jundong Li, Minnan Luo
KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media. CoRR (2022)
Claudia Flores-Saviaga, Shangbin Feng, Saiph Savage
Datavoidant: An AI System for Addressing Political Data Voids on Social Media. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Shangbin Feng, Zhaoxuan Tan, Herun Wan, Ningnan Wang, Zilong Chen, Binchi Zhang, Qinghua Zheng, Wenqian Zhang, Zhenyu Lei, Shujie Yang, Xinshun Feng, Qingyue Zhang, Hongrui Wang, Yuhan Liu, Yuyang Bai, Heng Wang, Zijian Cai, Yanbo Wang, Lijing Zheng, Zihan Ma, Jundong Li, Minnan Luo
TwiBot-22: Towards Graph-Based Twitter Bot Detection. NeurIPS (2022)
Shangbin Feng, Zhaoxuan Tan, Herun Wan, Ningnan Wang, Zilong Chen, Binchi Zhang, Qinghua Zheng, Wenqian Zhang, Zhenyu Lei, Shujie Yang, Xinshun Feng, Qingyue Zhang, Hongrui Wang, Yuhan Liu, Yuyang Bai, Heng Wang, Zijian Cai, Yanbo Wang, Lijing Zheng, Zihan Ma, Jundong Li, Minnan Luo
TwiBot-22: Towards Graph-Based Twitter Bot Detection. CoRR (2022)
Shangbin Feng, Herun Wan, Ningnan Wang, Minnan Luo
BotRGCN: Twitter Bot Detection with Relational Graph Convolutional Networks. CoRR (2021)
Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo
TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark. CIKM (2021)
Shangbin Feng, Zhaoxuan Tan, Rui Li, Minnan Luo
Heterogeneity-aware Twitter Bot Detection with Relational Graph Transformers. CoRR (2021)
Shangbin Feng, Zilong Chen, Qingyao Li, Minnan Luo
Knowledge Graph Augmented Political Perspective Detection in News Media. CoRR (2021)
Binchi Zhang, Minnan Luo, Shangbin Feng, Ziqi Liu, Jun Zhou, Qinghua Zheng
PPSGCN: A Privacy-Preserving Subgraph Sampling Based Distributed GCN Training Method. CoRR (2021)
Shangbin Feng, Herun Wan, Ningnan Wang, Minnan Luo
BotRGCN: Twitter bot detection with relational graph convolutional networks. ASONAM (2021)
Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo
SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection. CIKM (2021)
Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo
SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection. CoRR (2021)
Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo
TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark. CoRR (2021)
Shangbin Feng, Zilong Chen, Peisheng Yu, Minnan Luo
Encoding Heterogeneous Social and Political Context for Entity Stance Prediction. CoRR (2021)