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Published in Communications in Nonlinear Science and Numerical Simulation, 2017
Recommended citation: Luo Y, Cheng C, Li Y, et al. Opinion formation with zealots on temporal network[J]. Communications in Nonlinear Science and Numerical Simulation, 2021, 98: 105772.
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Published in WSDM, 2022
Recommended citation: Liu Z, Luo Y, Zang Z, et al. Surrogate representation learning with isometric mapping for gray-box graph adversarial attacks[C]//Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining. 2022: 591-598.
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Published in Physica A: Statistical Mechanics and its Applications, 2022
Recommended citation: Luo Y, Li Y, Sun C, et al. Adapted Deffuant–Weisbuch model with implicit and explicit opinions[J]. Physica A: Statistical Mechanics and its Applications, 2022, 596: 127095.
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Published in COLING, 2022
Recommended citation: Luo Y, Liu Z, Shi Y, et al. Exploiting sentiment and common sense for zero-shot stance detection[C]//Proceedings of the 29th International Conference on Computational Linguistics. 2022: 7112-7123.
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Published in Chaos: An Interdisciplinary Journal of Nonlinear Science, 2022
Recommended citation: Luo Y, Li Y, Cheng C. Cooperative evolution with opinion formation in a complex social environment[J]. Chaos: An Interdisciplinary Journal of Nonlinear Science, 2022, 32(10).
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Published in COLING, 2022
Recommended citation: Luo Y, Guo F, Liu Z, et al. Mere Contrastive Learning for Cross-Domain Sentiment Analysis[C]//Proceedings of the 29th International Conference on Computational Linguistics. 2022: 7099-7111.
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Published in WSDM, 2022
Recommended citation: Liu Z, Luo Y, Wu L, et al. Are gradients on graph structure reliable in gray-box attacks?[C]//Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 2022: 1360-1368.
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Published in WWW, 2023
Recommended citation: Luo Y, Liu Z, Li S Z, et al. Improving (dis) agreement detection with inductive social relation information from comment-reply interactions[C]//Proceedings of the ACM Web Conference 2023. 2023: 1584-1593.
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Published in SIGIR, 2023
Recommended citation: Guo F*, Luo Y*, Yang L, et al. Scimine: An efficient systematic prioritization model based on richer semantic information[C]//Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2023: 205-215.
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Published in NeurIPS, 2023
Recommended citation: Liu Z, Luo Y, Wu L, et al. Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias[J]. Advances in Neural Information Processing Systems, 2022, 35: 27966-27977.
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Published in Findings of EMNLP, 2023
Recommended citation: Luo Y, Yang Z, Meng F, et al. Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information[C]//Findings of the Association for Computational Linguistics: EMNLP 2023: 7563-7571.
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Published in Briefings in Bioinformatics, 2023
Recommended citation: Liu Z, Wang J, Luo Y, et al. Efficient prediction of peptide self-assembly through sequential and graphical encoding[J]. Briefings in Bioinformatics, 2023, 24(6): bbad409.
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Published in Findings of ACL 2024, 2024
Recommended citation: Jianhao Yan*, Yun Luo*, and Yue Zhang. 2024. RefuteBench: Evaluating Refuting Instruction-Following for Large Language Models. In Findings of the Association for Computational Linguistics: ACL 2024, pages 13775–13791. Association for Computational Linguistics.
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Published in NAACL, 2024
Recommended citation: Luo Y, Yang Z, Meng F, et al. XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners[C]//Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). 2024: 6676-6698.
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Published in Findings of EMNLP 2024, 2024
Recommended citation: Hu X, Ru D, Qiu L, et al. Knowledge-Centric Hallucination Detection[C]//Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 2024: 6953-6975.
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Published in EMNLP Demo, 2024
Recommended citation: Zheng Y, Sun S, Qiu L, et al. OpenResearcher: Unleashing AI for Accelerated Scientific Research[C]//Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. 2024: 209-218.
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Published in WSDM, 2024
Recommended citation: Guo F, Li W, Zhuang H, Yun L et al. Generating diverse criteria on-the-fly to improve point-wise LLM rankers[J]. arXiv preprint arXiv:2404.11960, 2024.
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