Shangbin Feng

According to our database, Shangbin Feng authored at least 63 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, June, 2025

Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations?

Yiwei Yang, Chung Peng Lee, Shangbin Feng, Dora Zhao, Bingbing Wen, Anthony Z. Liu, Yulia Tsvetkov, Bill Howe

CoRR, June, 2025

SPARTA ALIGNMENT: Collectively Aligning Multiple Language Models through Combat.

Yuru Jiang, Wenxuan Ding, Shangbin Feng, Greg Durrett, Yulia Tsvetkov

CoRR, June, 2025

Generalizable LLM Learning of Graph Synthetic Data with Reinforcement Learning.

Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xinyun Liu, Yulia Tsvetkov

CoRR, June, 2025

GuessBench: Sensemaking Multimodal Creativity in the Wild.

Zifeng Zhu, Shangbin Feng, Herun Wan, Ningnan Wang, Minnan Luo, Yulia Tsvetkov

CoRR, June, 2025

Data Swarms: Optimizable Generation of Synthetic Evaluation Data.

Shangbin Feng, Yike Wang, Weijia Shi, Yulia Tsvetkov

CoRR, June, 2025

ScienceMeter: Tracking Scientific Knowledge Updates in Language Models.

Yike Wang, Shangbin Feng, Yulia Tsvetkov, Hannaneh Hajishirzi

CoRR, May, 2025

MMMG: a Comprehensive and Reliable Evaluation Suite for Multitask Multimodal Generation.

Jihan Yao, Yushi Hu, Yujie Yi, Bin Han, Shangbin Feng, Guang Yang, Bingbing Wen, Ranjay Krishna, Lucy Lu Wang, Yulia Tsvetkov, Noah A. Smith, Banghua Zhu

CoRR, May, 2025

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

CoRR, May, 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, March, 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

CoRR, March, 2025

Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems.

Shangbin Feng, Zifeng Wang, Palash Goyal, Yike Wang, Weijia Shi, Huang Xia, Hamid Palangi, Luke Zettlemoyer, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister

CoRR, February, 2025

When One LLM Drools, Multi-LLM Collaboration Rules.

Shangbin Feng, Wenxuan Ding, Alisa Liu, Zifeng Wang, Weijia Shi, Yike Wang, Zejiang Shen, Xiaochuang Han, Hunter Lang, Chen-Yu Lee, Tomas Pfister, Yejin Choi, Yulia Tsvetkov

CoRR, February, 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

Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only.

Jihan Yao, Wenxuan Ding, Shangbin Feng, Lucy Lu Wang, Yulia Tsvetkov

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts.

Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Zhenyu Wu, Shangbin Feng, Meng Jiang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

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

CoRR, 2024

Biased AI can Influence Political Decision-Making.

Jillian Fisher, Shangbin Feng, Robert Aron, Thomas Richardson, Yejin Choi, Daniel W. Fisher, Jennifer Pan, Yulia Tsvetkov, Katharina Reinecke

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

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

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

Proceedings of the ACM on Web Conference 2024, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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, Yulia Tsvetkov

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 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

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

Can LLM Graph Reasoning Generalize beyond Pattern Memorization?

Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xiaochuang Han, Tianxing He, Yulia Tsvetkov

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration.

Shangbin Feng, Taylor Sorensen, Yuhan Liu, Jillian Fisher, Chan Young Park, Yejin Choi, Yulia Tsvetkov

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection.

Herun Wan, Shangbin Feng, Zhaoxuan Tan, Heng Wang, Yulia Tsvetkov, Minnan Luo

Proceedings of the Findings of the Association for Computational Linguistics, 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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration.

Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, Yulia Tsvetkov

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models.

Wenxuan Ding, Shangbin Feng, Yuhan Liu, Zhaoxuan Tan, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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, Yulia Tsvetkov

CoRR, 2023

Knowledge Crosswords: Geometric Reasoning over Structured Knowledge with Large Language Models.

Wenxuan Ding, Shangbin Feng, Yuhan Liu, Zhaoxuan Tan, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov

CoRR, 2023

Resolving Knowledge Conflicts in Large Language Models.

Yike Wang, Shangbin Feng, Heng Wang, Weijia Shi, Vidhisha Balachandran, Tianxing He, 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

BotPercent: Estimating Twitter Bot Populations from Groups to Crowds.

Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov

CoRR, 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

Proceedings of the ACM Web Conference 2023, 2023

BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts.

Yuhan Liu, Zhaoxuan Tan, Heng Wang, Shangbin Feng, Qinghua Zheng, Minnan Luo

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Can Language Models Solve Graph Problems in Natural Language?

Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, Yulia Tsvetkov

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

BotPercent: Estimating Bot Populations in Twitter Communities.

Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge.

Shangbin Feng, Vidhisha Balachandran, Yuyang Bai, Yulia Tsvetkov

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding.

Shangbin Feng, Zhaoxuan Tan, Wenqian Zhang, Zhenyu Lei, Yulia Tsvetkov

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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

BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency.

Zhenyu Lei, Herun Wan, Wenqian Zhang, Shangbin Feng, Zilong Chen, Qinghua Zheng, Minnan Luo

CoRR, 2022

AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach.

Shujie Yang, Binchi Zhang, Shangbin Feng, Zhaoxuan Tan, Qinghua Zheng, Jun Zhou, Minnan Luo

CoRR, 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, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 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

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

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

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers.

Shangbin Feng, Zhaoxuan Tan, Rui Li, Minnan Luo

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

PPSGCN: A Privacy-Preserving Subgraph Sampling Based Distributed GCN Training Method.

Binchi Zhang, Minnan Luo, Shangbin Feng, Ziqi Liu, Jun Zhou, Qinghua Zheng

CoRR, 2021

Encoding Heterogeneous Social and Political Context for Entity Stance Prediction.

Shangbin Feng, Zilong Chen, Peisheng Yu, Minnan Luo

CoRR, 2021

Knowledge Graph Augmented Political Perspective Detection in News Media.

Shangbin Feng, Zilong Chen, Qingyao Li, Minnan Luo

CoRR, 2021

TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark.

Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 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

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

BotRGCN: Twitter bot detection with relational graph convolutional networks.

Shangbin Feng, Herun Wan, Ningnan Wang, Minnan Luo

Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021