Wojciech Kryscinski

According to our database1, Wojciech Kryscinski authored at least 24 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
XGen-7B Technical Report.
CoRR, 2023

LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond.
CoRR, 2023

SummEdits: Measuring LLM Ability at Factual Reasoning Through The Lens of Summarization.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Long Document Summarization with Top-down and Bottom-up Inference.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

What's New? Summarizing Contributions in Scientific Literature.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Socratic Pretraining: Question-Driven Pretraining for Controllable Summarization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
FeTaQA: Free-form Table Question Answering.
Trans. Assoc. Comput. Linguistics, 2022

CREATIVESUMM: Shared Task on Automatic Summarization for Creative Writing.
CoRR, 2022

FOLIO: Natural Language Reasoning with First-Order Logic.
CoRR, 2022

Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Exploring Neural Models for Query-Focused Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

BOOKSUM: A Collection of Datasets for Long-form Narrative Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

CTRLsum: Towards Generic Controllable Text Summarization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

HydraSum: Disentangling Style Features in Text Summarization with Multi-Decoder Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
SummEval: Re-evaluating Summarization Evaluation.
Trans. Assoc. Comput. Linguistics, 2021

HydraSum - Disentangling Stylistic Features in Text Summarization using Multi-Decoder Models.
CoRR, 2021

FeTaQA: Free-form Table Question Answering.
CoRR, 2021

SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Evaluating the Factual Consistency of Abstractive Text Summarization.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Sketch-Fill-A-R: A Persona-Grounded Chit-Chat Generation Framework.
CoRR, 2019

Neural Text Summarization: A Critical Evaluation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Improving Abstraction in Text Summarization.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018


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