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COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective.

Z. Wang, Q. Do, H. Zhang, J. Zhang, W. Wang, T. Fang, Y. Song, G. Wong, and S. See. ACL (1), page 5253-5271. Association for Computational Linguistics, (2023)

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Fang-Fang Tang

Xing Fang

Fang Chen

Weigui Fang

Xiangfan Fang

Other publications of authors with the same name

MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation.Y. Su, Z. Wang, T. Fang, H. Zhang, Y. Song, and T. Zhang. EMNLP (Findings), page 1339-1351. Association for Computational Linguistics, (2022)Probing Toxic Content in Large Pre-Trained Language Models.N. Ousidhoum, X. Zhao, T. Fang, Y. Song, and D. Yeung. ACL/IJCNLP (1), page 4262-4274. Association for Computational Linguistics, (2021)KCTS: Knowledge-Constrained Tree Search Decoding with Token-Level Hallucination Detection.S. Choi, T. Fang, Z. Wang, and Y. Song. EMNLP, page 14035-14053. Association for Computational Linguistics, (2023)AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph.Z. Wang, H. Shi, W. Wang, T. Fang, H. Zhang, S. Choi, X. Liu, and Y. Song. CoRR, (2023)Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations.C. Chan, C. Jiayang, W. Wang, Y. Jiang, T. Fang, X. Liu, and Y. Song. EACL (Findings), page 684-721. Association for Computational Linguistics, (2024)ASER: Towards large-scale commonsense knowledge acquisition via higher-order selectional preference over eventualities.H. Zhang, X. Liu, H. Pan, H. Ke, J. Ou, T. Fang, and Y. Song. Artif. Intell., (2022)SubeventWriter: Iterative Sub-event Sequence Generation with Coherence Controller.Z. Wang, H. Zhang, T. Fang, Y. Song, G. Wong, and S. See. EMNLP, page 1590-1604. Association for Computational Linguistics, (2022)Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning.X. Xiao, G. Liu, G. Gupta, D. Cao, S. Li, Y. Li, T. Fang, M. Cheng, and P. Bogdan. CoRR, (2024)StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding.C. Jiayang, L. Qiu, T. Chan, T. Fang, W. Wang, C. Chan, D. Ru, Q. Guo, H. Zhang, Y. Song and 2 other author(s). EMNLP, page 11518-11537. Association for Computational Linguistics, (2023)QADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question Answering.H. Shi, W. Wang, T. Fang, B. Xu, W. Ding, X. Liu, and Y. Song. EMNLP (Findings), page 15329-15341. Association for Computational Linguistics, (2023)

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Disambiguation of "Fang, Tianqing"

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COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective.

Please choose a person to relate this publication to

Fang-Fang Tang

Xing Fang

Fang Chen

Weigui Fang

Xiangfan Fang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Fang, Tianqing"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective.

Please choose a person to relate this publication to

Fang-Fang Tang

Xing Fang

Fang Chen

Weigui Fang

Xiangfan Fang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
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COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective.