Shangbin Feng
Orcid: 0000-0002-4133-1987
According to our database1,
Shangbin Feng
authored at least 35 papers
between 2021 and 2024.
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Bibliography
2024
Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks.
CoRR, 2024
CoRR, 2024
Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples.
CoRR, 2024
What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection.
CoRR, 2024
Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration.
CoRR, 2024
2023
What Constitutes a Faithful Summary? Preserving Author Perspectives in News Summarization.
CoRR, 2023
CoRR, 2023
Knowledge Crosswords: Geometric Reasoning over Structured Knowledge with Large Language Models.
CoRR, 2023
CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge.
CoRR, 2023
KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion.
Proceedings of the ACM Web Conference 2023, 2023
BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
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.
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.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Proc. ACM Hum. Comput. Interact., 2022
CoRR, 2022
CoRR, 2022
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.
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.
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.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
PPSGCN: A Privacy-Preserving Subgraph Sampling Based Distributed GCN Training Method.
CoRR, 2021
CoRR, 2021
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.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021