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Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP.

Z. Jin, J. von Kügelgen, J. Ni, T. Vaidhya, A. Kaushal, M. Sachan, and B. Schölkopf. EMNLP (1), page 9499-9513. Association for Computational Linguistics, (2021)

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Jingwei Liang

Jingwei Zhang

Jingwei Miao

Ying Ni

Pedestrian safety at urban signalised intersectionsY. Ni. TU Darmstadt, (2009)

Yi Ni

Other publications of authors with the same name

Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering.T. Schimanski, J. Ni, M. Kraus, E. Ash, and M. Leippold. CoRR, (2024)Teachers cooperation: team-knowledge distillation for multiple cross-domain few-shot learning.Z. Ji, J. Ni, X. Liu, and Y. Pang. Frontiers Comput. Sci., 17 (2): 172312 (2022)AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators.J. Ni, M. Shi, D. Stammbach, M. Sachan, E. Ash, and M. Leippold. CoRR, (2024)chatClimate: Grounding Conversational AI in Climate Science.S. Vaghefi, Q. Wang, V. Muccione, J. Ni, M. Kraus, J. Bingler, T. Schimanski, C. Senni, N. Webersinke, C. Huggel and 1 other author(s). CoRR, (2023)Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance.J. Ni, Z. Jin, M. Freitag, M. Sachan, and B. Schölkopf. NAACL-HLT, page 5303-5320. Association for Computational Linguistics, (2022)When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP.J. Ni, Z. Jin, Q. Wang, M. Sachan, and M. Leippold. ACL (1), page 7465-7488. Association for Computational Linguistics, (2023)Automated Fact-Checking of Climate Change Claims with Large Language Models.M. Leippold, S. Vaghefi, D. Stammbach, V. Muccione, J. Bingler, J. Ni, C. Senni, T. Wekhof, T. Schimanski, G. Gostlow and 3 other author(s). CoRR, (2024)Exploring Nature: Datasets and Models for Analyzing Nature-Related Disclosures.T. Schimanski, C. Senni, G. Gostlow, J. Ni, T. Yu, and M. Leippold. CoRR, (2023)Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP.Z. Jin, J. von Kügelgen, J. Ni, T. Vaidhya, A. Kaushal, M. Sachan, and B. Schölkopf. EMNLP (1), page 9499-9513. Association for Computational Linguistics, (2021)CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools.J. Ni, J. Bingler, C. Senni, M. Kraus, G. Gostlow, T. Schimanski, D. Stammbach, S. Vaghefi, Q. Wang, N. Webersinke and 3 other author(s). EMNLP (Demos), page 21-51. Association for Computational Linguistics, (2023)

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Disambiguation of "Ni, Jingwei"

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Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP.

Please choose a person to relate this publication to

Jingwei Liang

Jingwei Zhang

Jingwei Miao

Ying Ni

Yi Ni

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ni, Jingwei"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP.

Please choose a person to relate this publication to

Jingwei Liang

Jingwei Zhang

Jingwei Miao

Ying Ni

Yi Ni

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
DIN 1505
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Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP.