TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion J Wu, M Cao, JCK Cheung, WL Hamilton Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 170 | 2020 |
Factual Error Correction for Abstractive Summarization Models M Cao, Y Dong, J Wu, JCK Cheung Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 168 | 2020 |
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization M Cao, Y Dong, J Cheung Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 137 | 2022 |
Referring Expression Generation Using Entity Profiles M Cao, JCK Cheung Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 16 | 2019 |
Systematic Rectification of Language Models via Dead-end Analysis M Cao, M Fatemi, JCK Cheung, S Shabanian ICLR 2023, 2023 | 14 | 2023 |
Learning with rejection for abstractive text summarization M Cao, Y Dong, J He, JCK Cheung arXiv preprint arXiv:2302.08531, 2023 | 14 | 2023 |
Inspecting the factuality of hallucinated entities in abstractive summarization M Cao, Y Dong, JCK Cheung arXiv preprint arXiv:2109.09784, 2021 | 10 | 2021 |
A Survey on Neural Abstractive Summarization Methods and Factual Consistency of Summarization M Cao https://arxiv.org/abs/2204.09519, 2022 | 8 | 2022 |
Drlc: Reinforcement learning with dense rewards from llm critic M Cao, L Shu, L Yu, Y Zhu, N Wichers, Y Liu, L Meng arXiv preprint arXiv:2401.07382, 2024 | 6 | 2024 |
Mechanisms of non-factual hallucinations in language models L Yu, M Cao, JCK Cheung, Y Dong arXiv preprint arXiv:2403.18167, 2024 | 5 | 2024 |
Mechanistic understanding and mitigation of language model non-factual hallucinations L Yu, M Cao, JCK Cheung, Y Dong Findings of the Association for Computational Linguistics: EMNLP 2024, 7943-7956, 2024 | 4 | 2024 |
MiRNN: an improved prediction model of microRNA precursors using gated recurrent units M Cao, D Li, Z Lin, C Niu, C Ding Intelligent Computing Theories and Application: 14th International …, 2018 | 3 | 2018 |
Enhancing Reinforcement Learning with Dense Rewards from Language Model Critic M Cao, L Shu, L Yu, Y Zhu, N Wichers, Y Liu, L Meng Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 2 | 2024 |
Responsible AI Considerations in Text Summarization Research: A Review of Current Practices YL Liu, M Cao, SL Blodgett, JCK Cheung, A Olteanu, A Trischler EMNLP 2023 Findings, 2023 | 2 | 2023 |
Successor Features for Efficient Multisubject Controlled Text Generation M Cao, M Fatemi, JCK Cheung, S Shabanian ICML 2024, 2023 | 1 | 2023 |
Analyzing Multi-Sentence Aggregation in Abstractive Summarization via the Shapley Value J He, M Cao, JCK Cheung Proceedings of the 4th New Frontiers in Summarization Workshop, 121-134, 2023 | | 2023 |
Learning with Rejection for Abstractive Text Summarization M Cao, Y Dong, J He, J Cheung Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | | 2022 |
Transfer Learning for Cross-Domain Sequence Tagging Tasks M Cao, C Zhang, D Li, Q Zheng, L Luo Advances in Information and Communication: Proceedings of the 2019 Future of …, 2020 | | 2020 |
The expression of estrogen receptors in the human periodontal ligament fibroblasts in vitro M Cao, Y Ding, L Shu, J Li, W Zhang, T Guo Zhonghua kou Qiang yi xue za zhi= Zhonghua Kouqiang Yixue Zazhi= Chinese …, 2007 | | 2007 |