Jiaming Shen
Jiaming Shen is a Senior Research Scientist in Google DeepMind, working on Natural Language Processing and Data Mining. For complete list of publications and latest updates, please check out his primary homepage at mickeysjm.github.io or visit his Google Scholar page.
Authored Publications
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Knowledge Distillation with Perturbed Loss: From a Vanilla Teacher to a Proxy Teacher
Rongzhi Zhang
Chao Zhang
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), ACM, pp. 4278 - 4289
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting
Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) (2024)
HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting
Jiaying Lu
Bo Xiong
Wenjing Ma
Steffen Staab
Carl Yang
Proc. of The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023)
Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach
Yue Yu
Rongzhi Zhang
Ran Xu
Jieyu Zhang
Chao Zhang
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL) (2023)
ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval
Yue Yu
Yuchen Zhuang
Rongzhi Zhang
Yu Meng
Chao Zhang
In Proc. of The 61st Annual Meeting of the Association for Computational Linguistics (2023)
“Why is this misleading?”: Detecting News Headline Hallucinations with Explanations
Dan Finnie
Negar Rahmati
Proceedings of the ACM Web Conference 2023 (WWW 2023)
Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Boshi Wang
Sewon Min
Xiang Deng
Luke Zettlemoyer
Huan Sun
Proc. of The 61st Annual Meeting of the Association for Computational Linguistics (2023)
Towards Disentangling Relevance and Bias in Unbiased Learning to Rank
Yunan Zhang
29TH ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) (2023)
Local Boosting for Weakly-supervised Learning
Rongzhi Zhang
Yue Yu
Xiquan Cui
Chao Zhang
Proc. of 29th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (2023)
Unsupervised Event Chain Mining from Multiple Documents
Yizhu Jiao
Ming Zhong
Yunyi Zhang
Chao Zhang
Jiawei Han
Proceedings of the ACM Web Conference 2023
