Improving Abstraction in Text Summarization. - Wojciech Kryscinski; Romain Paulus; Caiming Xiong; Richard Socher (EMNLP, 2018)

Neural Text Summarization: A Critical Evaluation. - Wojciech Kryscinski; Nitish Shirish Keskar; Bryan McCann; Caiming Xiong; Richard Socher (EMNLP/IJCNLP (1), 2019)

Sketch-Fill-A-R: A Persona-Grounded Chit-Chat Generation Framework. - Michael Shum; Stephan Zheng; Wojciech Kryscinski; Caiming Xiong; Richard Socher (CoRR, 2019)

Evaluating the Factual Consistency of Abstractive Text Summarization. - Wojciech Kryscinski; Bryan McCann; Caiming Xiong; Richard Socher (EMNLP (1), 2020)

SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization. - Jesse Vig; Wojciech Kryscinski; Karan Goel; Nazneen Rajani (ACL (demo), 2021)

FeTaQA: Free-form Table Question Answering. - Linyong Nan; Chiachun Hsieh; Ziming Mao; Xi Victoria Lin; Neha Verma 001; Rui Zhang 037; Wojciech Kryscinski; Nick Schoelkopf; Riley Kong; Xiangru Tang; Murori Mutuma; Ben Rosand; et al. (CoRR, 2021)

HydraSum - Disentangling Stylistic Features in Text Summarization using Multi-Decoder Models. - Tanya Goyal; Nazneen Fatema Rajani; Wenhao Liu 003; Wojciech Kryscinski (CoRR, 2021)

SummEval: Re-evaluating Summarization Evaluation. - Alexander R. Fabbri; Wojciech Kryscinski; Bryan McCann; Caiming Xiong; Richard Socher; Dragomir R. Radev (Trans. Assoc. Comput. Linguistics, 2021)

HydraSum: Disentangling Style Features in Text Summarization with Multi-Decoder Models. - Tanya Goyal; Nazneen Rajani; Wenhao Liu 003; Wojciech Kryscinski (EMNLP, 2022)

CTRLsum: Towards Generic Controllable Text Summarization. - Junxian He; Wojciech Kryscinski; Bryan McCann; Nazneen Rajani; Caiming Xiong (EMNLP, 2022)

BOOKSUM: A Collection of Datasets for Long-form Narrative Summarization. - Wojciech Kryscinski; Nazneen Rajani; Divyansh Agarwal; Caiming Xiong; Dragomir Radev (EMNLP (Findings), 2022)

Exploring Neural Models for Query-Focused Summarization. - Jesse Vig; Alexander R. Fabbri; Wojciech Kryscinski; Chien-Sheng Wu; Wenhao Liu 003 (NAACL-HLT (Findings), 2022)

Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control. - Haopeng Zhang 005; Semih Yavuz; Wojciech Kryscinski; Kazuma Hashimoto; Yingbo Zhou (NAACL-HLT (Findings), 2022)

FOLIO: Natural Language Reasoning with First-Order Logic. - Simeng Han; Hailey Schoelkopf; Yilun Zhao 001; Zhenting Qi; Martin Riddell; Luke Benson; Lucy Sun; Ekaterina Zubova; Yujie Qiao; Matthew Burtell; David Peng; Jonathan Fan 001; et al. (CoRR, 2022)

CREATIVESUMM: Shared Task on Automatic Summarization for Creative Writing. - Divyansh Agarwal; Alexander R. Fabbri; Simeng Han; Wojciech Kryscinski; Faisal Ladhak; Bryan Li; Kathleen R. McKeown; Dragomir Radev; Tianyi Zhang; Sam Wiseman (CoRR, 2022)

FeTaQA: Free-form Table Question Answering. - Linyong Nan; Chiachun Hsieh; Ziming Mao; Xi Victoria Lin; Neha Verma 001; Rui Zhang 037; Wojciech Kryscinski; Hailey Schoelkopf; Riley Kong; Xiangru Tang; Mutethia Mutuma; Ben Rosand; et al. (Trans. Assoc. Comput. Linguistics, 2022)

SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages. - Philippe Laban; Jesse Vig; Wojciech Kryscinski; Shafiq Joty; Caiming Xiong; Chien-Sheng Wu (ACL (1), 2023)

Socratic Pretraining: Question-Driven Pretraining for Controllable Summarization. - Artidoro Pagnoni; Alexander R. Fabbri; Wojciech Kryscinski; Chien-Sheng Wu (ACL (1), 2023)

Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. - Liyan Tang; Tanya Goyal; Alexander R. Fabbri; Philippe Laban; Jiacheng Xu 001; Semih Yavuz; Wojciech Kryscinski; Justin F. Rousseau; Greg Durrett (ACL (1), 2023)

What's New? Summarizing Contributions in Scientific Literature. - Hiroaki Hayashi; Wojciech Kryscinski; Bryan McCann; Nazneen Rajani; Caiming Xiong (EACL, 2023)

Long Document Summarization with Top-down and Bottom-up Inference. - Bo Pang 004; Erik Nijkamp; Wojciech Kryscinski; Silvio Savarese; Yingbo Zhou; Caiming Xiong (EACL (Findings), 2023)

SummEdits: Measuring LLM Ability at Factual Reasoning Through The Lens of Summarization. - Philippe Laban; Wojciech Kryscinski; Divyansh Agarwal; Alexander R. Fabbri; Caiming Xiong; Shafiq Joty; Chien-Sheng Wu (EMNLP, 2023)

LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond. - Philippe Laban; Wojciech Kryscinski; Divyansh Agarwal; Alexander R. Fabbri; Caiming Xiong; Shafiq Joty; Chien-Sheng Wu (CoRR, 2023)

XGen-7B Technical Report. - Erik Nijkamp; Tian Xie; Hiroaki Hayashi; Bo Pang 004; Congying Xia; Chen Xing; Jesse Vig; Semih Yavuz; Philippe Laban; Ben Krause; Senthil Purushwalkam; Tong Niu; et al. (CoRR, 2023)

FOLIO: Natural Language Reasoning with First-Order Logic. - Simeng Han; Hailey Schoelkopf; Yilun Zhao 001; Zhenting Qi; Martin Riddell; Wenfei Zhou; James Coady; David Peng; Yujie Qiao; Luke Benson; Lucy Sun; Alexander Wardle-Solano; et al. (EMNLP, 2024)