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2020 – today
- 2025
[i45]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:
When One LLM Drools, Multi-LLM Collaboration Rules. CoRR abs/2502.04506 (2025)- [i44]Shangbin Feng, Zifeng Wang, Palash Goyal, Yike Wang, Weijia Shi, Huang Xia, Hamid Palangi, Luke Zettlemoyer, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister:
Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems. CoRR abs/2502.04510 (2025) - [i43]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:
Political Neutrality in AI is Impossible- But Here is How to Approximate it. CoRR abs/2503.05728 (2025) - [i42]Varich Boonsanong, Vidhisha Balachandran, Xiaochuang Han, Shangbin Feng, Lucy Lu Wang, Yulia Tsvetkov:
FACTS&EVIDENCE: An Interactive Tool for Transparent Fine-Grained Factual Verification of Machine-Generated Text. CoRR abs/2503.14797 (2025) - 2024
- [c31]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: 2609-2636 - [c30]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: 2637-2667 - [c29]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: 2894-2925 - [c28]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: 3580-3601 - [c27]Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, Yulia Tsvetkov:
Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration. ACL (1) 2024: 14664-14690 - [c26]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. CIKM 2024: 3093-3102 - [c25]Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xiaochuang Han, Tianxing He, Yulia Tsvetkov:
Can LLM Graph Reasoning Generalize beyond Pattern Memorization? EMNLP (Findings) 2024: 2289-2305 - [c24]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. EMNLP 2024: 4125-4150 - [c23]Shangbin Feng, Taylor Sorensen, Yuhan Liu, Jillian Fisher, Chan Young Park, Yejin Choi, Yulia Tsvetkov:
Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration. EMNLP 2024: 4151-4171 - [c22]Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Emma Pierson, Pang Wei Koh, Yulia Tsvetkov:
Beyond the Stethoscope: Operationalizing Interactive Clinical Reasoning in Large Language Models via Proactive Information Seeking. ICHI 2024: 567 - [c21]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 - [c20]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: 2154-2173 - [c19]Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Jonathan Ilgen, Emma Pierson, Pang Wei W. Koh, Yulia Tsvetkov:
MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning. NeurIPS 2024 - [c18]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: 2226-2237 - [i41]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 abs/2402.00367 (2024) - [i40]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 abs/2402.00371 (2024) - [i39]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 abs/2402.07386 (2024) - [i38]Herun Wan, Shangbin Feng, Zhaoxuan Tan, Heng Wang, Yulia Tsvetkov, Minnan Luo:
DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection. CoRR abs/2402.10426 (2024) - [i37]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 abs/2402.11638 (2024) - [i36]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 abs/2406.00922 (2024) - [i35]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 abs/2406.15948 (2024) - [i34]Shangbin Feng, Taylor Sorensen, Yuhan Liu, Jillian Fisher, Chan Young Park, Yejin Choi, Yulia Tsvetkov:
Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration. CoRR abs/2406.15951 (2024) - [i33]Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xiaochuang Han, Tianxing He, Yulia Tsvetkov:
Can LLM Graph Reasoning Generalize beyond Pattern Memorization? CoRR abs/2406.15992 (2024) - [i32]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 abs/2407.18418 (2024) - [i31]Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Zhenyu Wu, Shangbin Feng, Meng Jiang:
CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts. CoRR abs/2408.09070 (2024) - [i30]Jillian Fisher, Shangbin Feng, Robert Aron, Thomas Richardson, Yejin Choi, Daniel W. Fisher, Jennifer Pan, Yulia Tsvetkov, Katharina Reinecke:
Biased AI can Influence Political Decision-Making. CoRR abs/2410.06415 (2024) - [i29]Jihan Yao, Wenxuan Ding, Shangbin Feng, Lucy Lu Wang, Yulia Tsvetkov:
Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only. CoRR abs/2410.11055 (2024) - [i28]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:
Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence. CoRR abs/2410.11163 (2024) - 2023
- [c17]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: 2116-2138 - [c16]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: 10326-10340 - [c15]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: 11737-11762 - [c14]Shangbin Feng, Vidhisha Balachandran, Yuyang Bai, Yulia Tsvetkov:
FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge. EMNLP 2023: 933-952 - [c13]Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov:
BotPercent: Estimating Bot Populations in Twitter Communities. EMNLP (Findings) 2023: 14295-14312 - [c12]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: 16035-16050 - [c11]Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, Yulia Tsvetkov:
Can Language Models Solve Graph Problems in Natural Language? NeurIPS 2023 - [c10]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: 485-495 - [c9]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: 2548-2559 - [i27]Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov:
BotPercent: Estimating Twitter Bot Populations from Groups to Crowds. CoRR abs/2302.00381 (2023) - [i26]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 abs/2304.06280 (2023) - [i25]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 abs/2304.11411 (2023) - [i24]Shangbin Feng, Vidhisha Balachandran, Yuyang Bai, Yulia Tsvetkov:
FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge. CoRR abs/2305.08281 (2023) - [i23]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 abs/2305.08283 (2023) - [i22]Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov:
CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge. CoRR abs/2305.09955 (2023) - [i21]Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, Yulia Tsvetkov:
Can Language Models Solve Graph Problems in Natural Language? CoRR abs/2305.10037 (2023) - [i20]Yike Wang, Shangbin Feng, Heng Wang, Weijia Shi, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov:
Resolving Knowledge Conflicts in Large Language Models. CoRR abs/2310.00935 (2023) - [i19]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 abs/2310.01290 (2023) - [i18]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 abs/2310.09725 (2023) - [i17]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 abs/2311.09741 (2023) - 2022
- [j1]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): 1-29 (2022) - [c8]Shangbin Feng, Zhaoxuan Tan, Rui Li, Minnan Luo:
Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers. AAAI 2022: 3977-3985 - [c7]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: 520-529 - [c6]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: 12022-12036 - [c5]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: 4129-4140 - [c4]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 - [i16]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 abs/2204.04046 (2022) - [i15]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 abs/2206.04564 (2022) - [i14]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 abs/2208.07622 (2022) - [i13]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 abs/2208.08200 (2022) - [i12]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 abs/2208.08320 (2022) - [i11]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 abs/2208.09027 (2022) - [i10]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 abs/2210.04105 (2022) - [i9]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 abs/2210.08362 (2022) - [i8]Claudia Flores-Saviaga, Shangbin Feng, Saiph Savage:
Datavoidant: An AI System for Addressing Political Data Voids on Social Media. CoRR abs/2210.13594 (2022) - 2021
- [c3]Shangbin Feng, Herun Wan, Ningnan Wang, Minnan Luo:
BotRGCN: Twitter bot detection with relational graph convolutional networks. ASONAM 2021: 236-239 - [c2]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: 3808-3817 - [c1]Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo:
TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark. CIKM 2021: 4485-4494 - [i7]Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo:
TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark. CoRR abs/2106.13088 (2021) - [i6]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 abs/2106.13089 (2021) - [i5]Shangbin Feng, Herun Wan, Ningnan Wang, Minnan Luo:
BotRGCN: Twitter Bot Detection with Relational Graph Convolutional Networks. CoRR abs/2106.13092 (2021) - [i4]Shangbin Feng, Zilong Chen, Qingyao Li, Minnan Luo:
Knowledge Graph Augmented Political Perspective Detection in News Media. CoRR abs/2108.03861 (2021) - [i3]Shangbin Feng, Zilong Chen, Peisheng Yu, Minnan Luo:
Encoding Heterogeneous Social and Political Context for Entity Stance Prediction. CoRR abs/2108.03881 (2021) - [i2]Shangbin Feng, Zhaoxuan Tan, Rui Li, Minnan Luo:
Heterogeneity-aware Twitter Bot Detection with Relational Graph Transformers. CoRR abs/2109.02927 (2021) - [i1]Binchi Zhang, Minnan Luo, Shangbin Feng, Ziqi Liu, Jun Zhou, Qinghua Zheng:
PPSGCN: A Privacy-Preserving Subgraph Sampling Based Distributed GCN Training Method. CoRR abs/2110.12906 (2021)
Coauthor Index
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