Obserwuj
Meng Cao (曹勐)
Meng Cao (曹勐)
McGill University; Montreal Institute for Learning Algorithms (MILA)
Zweryfikowany adres z mail.mcgill.ca - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
1702020
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
1682020
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
1372022
Referring Expression Generation Using Entity Profiles
M Cao, JCK Cheung
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
162019
Systematic Rectification of Language Models via Dead-end Analysis
M Cao, M Fatemi, JCK Cheung, S Shabanian
ICLR 2023, 2023
142023
Learning with rejection for abstractive text summarization
M Cao, Y Dong, J He, JCK Cheung
arXiv preprint arXiv:2302.08531, 2023
142023
Inspecting the factuality of hallucinated entities in abstractive summarization
M Cao, Y Dong, JCK Cheung
arXiv preprint arXiv:2109.09784, 2021
102021
A Survey on Neural Abstractive Summarization Methods and Factual Consistency of Summarization
M Cao
https://arxiv.org/abs/2204.09519, 2022
82022
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
62024
Mechanisms of non-factual hallucinations in language models
L Yu, M Cao, JCK Cheung, Y Dong
arXiv preprint arXiv:2403.18167, 2024
52024
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
42024
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
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
22024
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
22023
Successor Features for Efficient Multisubject Controlled Text Generation
M Cao, M Fatemi, JCK Cheung, S Shabanian
ICML 2024, 2023
12023
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
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–19