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Meng Cao (曹勐)
Meng Cao (曹勐)
McGill University; Montreal Institute for Learning Algorithms (MILA)
Verified email at mail.mcgill.ca - Homepage
Title
Cited by
Cited by
Year
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
1282020
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
1242020
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
832022
Referring Expression Generation Using Entity Profiles
M Cao, JCK Cheung
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
152019
Learning with rejection for abstractive text summarization
M Cao, Y Dong, J He, JCK Cheung
arXiv preprint arXiv:2302.08531, 2023
102023
Inspecting the factuality of hallucinated entities in abstractive summarization
M Cao, Y Dong, JCK Cheung
arXiv preprint arXiv:2109.09784, 2021
102021
Systematic Rectification of Language Models via Dead-end Analysis
M Cao, M Fatemi, JCK Cheung, S Shabanian
ICLR 2023, 2023
62023
A Survey on Neural Abstractive Summarization Methods and Factual Consistency of Summarization
M Cao
https://arxiv.org/abs/2204.09519, 2022
32022
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
32018
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
12024
Mechanisms of non-factual hallucinations in language models
L Yu, M Cao, JCK Cheung, Y Dong
arXiv preprint arXiv:2403.18167, 2024
2024
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
Responsible AI Considerations in Text Summarization Research: A Review of Current Practices
YL Liu, M Cao, SL Blodgett, JCK Cheung, A Olteanu, A Trischler
arXiv preprint arXiv:2311.11103, 2023
2023
Successor Features for Efficient Multisubject Controlled Text Generation
M Cao, M Fatemi, JCK Cheung, S Shabanian
arXiv preprint arXiv:2311.04921, 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
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Articles 1–16