Rik Koncel-Kedziorski

My research focuses on new methods for reasoning from data, human-computer collaboration, and improving evaluation of AI systems. Previously, I worked on those same things plus question answering, language grounding, and pragmatic meaning representation.

I completed my PhD in Computational Linguistics at the University of Washington in 2019, advised by Hanna Hajishirzi and Gina-Anne Levow. Before Apple I was a postdoctoral researcher with Noah Smith at UW CSE, an Applied Scientist at Amazon, and a Research Scientist at S&P Global Kensho.

selected publications

ACL

DocFinQA: A Long-Context Financial Reasoning Dataset

Varshini Reddy, Rik Koncel-Kedziorski, V. Lai, and 2 more authors

In Annual Meeting of the Association for Computational Linguistics, 2024

DOI arXiv Bib

@inproceedings{koncel2024docfinqa,
  author = {Reddy, Varshini and Koncel-Kedziorski, Rik and Lai, V. and Krumdick, Michael and Tanner, Chris},
  title = {DocFinQA: A Long-Context Financial Reasoning Dataset},
  year = {2024},
  booktitle = {Annual Meeting of the Association for Computational Linguistics},
  author+an = {2=highlight},
  doi = {10.48550/arXiv.2401.06915}
}

ACL

Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text

Yao Dou, Maxwell Forbes, Rik Koncel-Kedziorski, and 2 more authors

In Annual Meeting of the Association for Computational Linguistics, 2022

DOI arXiv Bib

@inproceedings{koncel2022is,
  author = {Dou, Yao and Forbes, Maxwell and Koncel-Kedziorski, Rik and Smith, Noah A. and Choi, Yejin},
  title = {Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text},
  year = {2022},
  booktitle = {Annual Meeting of the Association for Computational Linguistics},
  author+an = {3=highlight},
  doi = {10.18653/v1/2022.acl-long.501}
}

AAAI

A Controllable Model of Grounded Response Generation

Zeqiu Wu, Michel Galley, Chris Brockett, and 8 more authors

In AAAI Conference on Artificial Intelligence, 2021

DOI arXiv Bib

@inproceedings{koncel2021a,
  author = {Wu, Zeqiu and Galley, Michel and Brockett, Chris and Zhang, Yizhe and Gao, Xiang and Quirk, Chris and Koncel-Kedziorski, Rik and Gao, Jianfeng and Hajishirzi, Hannaneh and Ostendorf, Mari and Dolan, Bill},
  title = {A Controllable Model of Grounded Response Generation},
  year = {2021},
  booktitle = {AAAI Conference on Artificial Intelligence},
  author+an = {7=highlight},
  doi = {10.1609/aaai.v35i16.17658}
}

ACL

Explaining Relationships Between Scientific Documents

Kelvin Luu, Xinyi Wu, Rik Koncel-Kedziorski, and 3 more authors

In Annual Meeting of the Association for Computational Linguistics, 2021

DOI arXiv Bib

@inproceedings{koncel2021explaining,
  author = {Luu, Kelvin and Wu, Xinyi and Koncel-Kedziorski, Rik and Lo, Kyle and Cachola, Isabel and Smith, Noah A.},
  title = {Explaining Relationships Between Scientific Documents},
  year = {2021},
  booktitle = {Annual Meeting of the Association for Computational Linguistics},
  author+an = {3=highlight},
  doi = {10.18653/v1/2021.acl-long.166}
}

NAACL

Text Generation from Knowledge Graphs with Graph Transformers

Rik Koncel-Kedziorski, Dhanush Bekal, Yi Luan, and 2 more authors

In North American Chapter of the Association for Computational Linguistics, 2019

DOI arXiv Bib

@inproceedings{koncel2019text,
  author = {Koncel-Kedziorski, Rik and Bekal, Dhanush and Luan, Yi and Lapata, Mirella and Hajishirzi, Hannaneh},
  title = {Text Generation from Knowledge Graphs with Graph Transformers},
  year = {2019},
  booktitle = {North American Chapter of the Association for Computational Linguistics},
  author+an = {1=highlight},
  doi = {10.18653/v1/N19-1238}
}

NAACL

MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms

Aida Amini, Saadia Gabriel, Shanchuan Lin, and 3 more authors

In North American Chapter of the Association for Computational Linguistics, 2019

DOI arXiv Bib

@inproceedings{koncel2019mathqa,
  author = {Amini, Aida and Gabriel, Saadia and Lin, Shanchuan and Koncel-Kedziorski, Rik and Choi, Yejin and Hajishirzi, Hannaneh},
  title = {MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms},
  year = {2019},
  booktitle = {North American Chapter of the Association for Computational Linguistics},
  author+an = {4=highlight},
  doi = {10.18653/v1/N19-1245}
}

NAACL

MAWPS: A Math Word Problem Repository

Rik Koncel-Kedziorski, Subhro Roy, Aida Amini, and 2 more authors

In North American Chapter of the Association for Computational Linguistics, 2016

DOI Bib

@inproceedings{koncel2016mawps,
  author = {Koncel-Kedziorski, Rik and Roy, Subhro and Amini, Aida and Kushman, Nate and Hajishirzi, Hannaneh},
  title = {MAWPS: A Math Word Problem Repository},
  year = {2016},
  booktitle = {North American Chapter of the Association for Computational Linguistics},
  author+an = {1=highlight},
  doi = {10.18653/v1/N16-1136}
}

ACL

Parsing Algebraic Word Problems into Equations

Rik Koncel-Kedziorski, Hannaneh Hajishirzi, Ashish Sabharwal, and 2 more authors

Transactions of the Association for Computational Linguistics, 2015

DOI Bib

@article{koncel2015parsing,
  author = {Koncel-Kedziorski, Rik and Hajishirzi, Hannaneh and Sabharwal, Ashish and Etzioni, Oren and Ang, S.},
  title = {Parsing Algebraic Word Problems into Equations},
  year = {2015},
  journal = {Transactions of the Association for Computational Linguistics},
  author+an = {1=highlight},
  doi = {10.1162/tacl_a_00160}
}