Alexander R. Fabbri

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 75

Top Topics

Transfer Learning

Natural Language

Document Summarization

Question Answer

Top Venues

Publications

Yusen Zhang, Nan Zhang, Yixin Liu, Alexander R. Fabbri, Junru Liu, Ryo Kamoi, Xiaoxin Lu, Caiming Xiong, Jieyu Zhao, Dragomir Radev, Kathleen R. McKeown, Rui Zhang
Fair Abstractive Summarization of Diverse Perspectives. NAACL-HLT (2024)
Yixin Liu, Kejian Shi, Katherine He, Longtian Ye, Alexander R. Fabbri, Pengfei Liu, Dragomir Radev, Arman Cohan
On Learning to Summarize with Large Language Models as References. NAACL-HLT (2024)
Philippe Laban, Alexander R. Fabbri, Caiming Xiong, Chien-Sheng Wu
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems. CoRR (2024)
Divyansh Agarwal, Alexander R. Fabbri, Philippe Laban, Ben Risher, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu
Investigating the prompt leakage effect and black-box defenses for multi-turn LLM interactions. CoRR (2024)
Kung-Hsiang Huang, Philippe Laban, Alexander R. Fabbri, Prafulla Kumar Choubey, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu
Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles. NAACL-HLT (2024)
Prafulla Kumar Choubey, Alexander R. Fabbri, Jesse Vig, Chien-Sheng Wu, Wenhao Liu, Nazneen Rajani
CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization. ACL (Findings) (2023)
Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Dragomir Radev, Arman Cohan
On Learning to Summarize with Large Language Models as References. CoRR (2023)
Kung-Hsiang Huang, Philippe Laban, Alexander R. Fabbri, Prafulla Kumar Choubey, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu
Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles. CoRR (2023)
Griffin Adams, Alexander R. Fabbri, Faisal Ladhak, Eric Lehman, Noémie Elhadad
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting. CoRR (2023)
Erik Nijkamp, Tian Xie, Hiroaki Hayashi, Bo Pang, Congying Xia, Chen Xing, Jesse Vig, Semih Yavuz, Philippe Laban, Ben Krause, Senthil Purushwalkam, Tong Niu, Wojciech Kryscinski, Lidiya Murakhovs'ka, Prafulla Kumar Choubey, Alexander R. Fabbri, Ye Liu, Rui Meng, Lifu Tu, Meghana Bhat, Chien-Sheng Wu, Silvio Savarese, Yingbo Zhou, Shafiq Joty, Caiming Xiong
XGen-7B Technical Report. CoRR (2023)
Adithya Bhaskar, Alexander R. Fabbri, Greg Durrett
Prompted Opinion Summarization with GPT-3.5. ACL (Findings) (2023)
Philippe Laban, Wojciech Kryscinski, Divyansh Agarwal, Alexander R. Fabbri, Caiming Xiong, Shafiq Joty, Chien-Sheng Wu
SummEdits: Measuring LLM Ability at Factual Reasoning Through The Lens of Summarization. EMNLP (2023)
Irene Li, Thomas George, Alexander R. Fabbri, Tammy Liao, Benjamin Chen, Rina Kawamura, Richard Zhou, Vanessa Yan, Swapnil Hingmire, Dragomir Radev
A Transfer Learning Pipeline for Educational Resource Discovery with Application in Survey Generation. BEA@ACL (2023)
Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yavuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. ACL (1) (2023)
Philippe Laban, Wojciech Kryscinski, Divyansh Agarwal, Alexander R. Fabbri, Caiming Xiong, Shafiq Joty, Chien-Sheng Wu
LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond. CoRR (2023)
Yixin Liu, Alexander R. Fabbri, Jiawen Chen, Yilun Zhao, Simeng Han, Shafiq Joty, Pengfei Liu, Dragomir Radev, Chien-Sheng Wu, Arman Cohan
Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization. CoRR (2023)
Yixin Liu, Alexander R. Fabbri, Yilun Zhao, Pengfei Liu, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev
Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation. EMNLP (2023)
Prafulla Kumar Choubey, Alexander R. Fabbri, Caiming Xiong, Chien-Sheng Wu
Lexical Repetitions Lead to Rote Learning: Unveiling the Impact of Lexical Overlap in Train and Test Reference Summaries. CoRR (2023)
Griffin Adams, Alexander R. Fabbri, Faisal Ladhak, Kathleen R. McKeown, Noémie Elhadad
Generating EDU Extracts for Plan-Guided Summary Re-Ranking. CoRR (2023)
Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Yilun Zhao, Linyong Nan, Ruilin Han, Simeng Han, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation. ACL (1) (2023)
Prafulla Kumar Choubey, Alexander R. Fabbri, Caiming Xiong, Chien-Sheng Wu
Lexical Repetitions Lead to Rote Learning: Unveiling the Impact of Lexical Overlap in Train and Test Reference Summaries. EMNLP (Findings) (2023)
Griffin Adams, Alexander R. Fabbri, Faisal Ladhak, Noémie Elhadad, Kathleen R. McKeown
Generating EDU Extracts for Plan-Guided Summary Re-Ranking. ACL (1) (2023)
Yixin Liu, Alexander R. Fabbri, Yilun Zhao, Pengfei Liu, Shafiq R. Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev
Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation. CoRR (2023)
Yusen Zhang, Nan Zhang, Yixin Liu, Alexander R. Fabbri, Junru Liu, Ryo Kamoi, Xiaoxin Lu, Caiming Xiong, Jieyu Zhao, Dragomir Radev, Kathleen R. McKeown, Rui Zhang
Fair Abstractive Summarization of Diverse Perspectives. CoRR (2023)
Artidoro Pagnoni, Alexander R. Fabbri, Wojciech Kryscinski, Chien-Sheng Wu
Socratic Pretraining: Question-Driven Pretraining for Controllable Summarization. ACL (1) (2023)
Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Luke Benson, Lucy Sun, Ekaterina Zubova, Yujie Qiao, Matthew Burtell, David Peng, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Shafiq R. Joty, Alexander R. Fabbri, Wojciech Kryscinski, Xi Victoria Lin, Caiming Xiong, Dragomir Radev
FOLIO: Natural Language Reasoning with First-Order Logic. CoRR (2022)
Alexander R. Fabbri, Xiaojian Wu, Srini Iyer, Haoran Li, Mona T. Diab
AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization. NAACL-HLT (2022)
Jesse Vig, Alexander R. Fabbri, Wojciech Kryscinski, Chien-Sheng Wu, Wenhao Liu
Exploring Neural Models for Query-Focused Summarization. NAACL-HLT (Findings) (2022)
Irene Li, Alexander R. Fabbri, Rina Kawamura, Yixin Liu, Xiangru Tang, Jaesung Tae, Chang Shen, Sally Ma, Tomoe Mizutani, Dragomir Radev
Surfer100: Generating Surveys From Web Resources, Wikipedia-style. LREC (2022)
Irene Li, Thomas George, Alexander R. Fabbri, Tammy Liao, Benjamin Chen, Rina Kawamura, Richard Zhou, Vanessa Yan, Swapnil Hingmire, Dragomir R. Radev
A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation. CoRR (2022)
Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Yilun Zhao, Linyong Nan, Ruilin Han, Simeng Han, Shafiq R. Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation. CoRR (2022)
Alexander R. Fabbri, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong
QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization. NAACL-HLT (2022)
Xiangru Tang, Alexander R. Fabbri, Haoran Li, Ziming Mao, Griffin Adams, Borui Wang, Asli Celikyilmaz, Yashar Mehdad, Dragomir R. Radev
Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries. NAACL-HLT (2022)
Adithya Bhaskar, Alexander R. Fabbri, Greg Durrett
Zero-Shot Opinion Summarization with GPT-3. CoRR (2022)
Divyansh Agarwal, Alexander R. Fabbri, Simeng Han, Wojciech Kryscinski, Faisal Ladhak, Bryan Li, Kathleen R. McKeown, Dragomir Radev, Tianyi Zhang, Sam Wiseman
CREATIVESUMM: Shared Task on Automatic Summarization for Creative Writing. CoRR (2022)
Artidoro Pagnoni, Alexander R. Fabbri, Wojciech Kryscinski, Chien-Sheng Wu
Socratic Pretraining: Question-Driven Pretraining for Controllable Summarization. CoRR (2022)
Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, Noah A. Smith
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand. NAACL-HLT (2022)
Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yahvuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. CoRR (2022)
Alexander R. Fabbri, Prafulla Kumar Choubey, Jesse Vig, Chien-Sheng Wu, Caiming Xiong
Improving Factual Consistency in Summarization with Compression-Based Post-Editing. EMNLP (2022)
Alexander R. Fabbri, Prafulla Kumar Choubey, Jesse Vig, Chien-Sheng Wu, Caiming Xiong
Improving Factual Consistency in Summarization with Compression-Based Post-Editing. CoRR (2022)
Irene Li, Alexander R. Fabbri, Rina Kawamura, Yixin Liu, Xiangru Tang, Jaesung Tae, Chang Shen, Sally Ma, Tomoe Mizutani, Dragomir R. Radev
Surfer100: Generating Surveys From Web Resources on Wikipedia-style. CoRR (2021)
Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, Noah A. Smith
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand. CoRR (2021)
Alexander R. Fabbri, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong
QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization. CoRR (2021)
Alexander R. Fabbri, Simeng Han, Haoyuan Li, Haoran Li, Marjan Ghazvininejad, Shafiq R. Joty, Dragomir R. Radev, Yashar Mehdad
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation. NAACL-HLT (2021)
Xiangru Tang, Alexander R. Fabbri, Ziming Mao, Griffin Adams, Borui Wang, Haoran Li, Yashar Mehdad, Dragomir R. Radev
Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries. CoRR (2021)
Alexander R. Fabbri, Xiaojian Wu, Srini Iyer, Mona T. Diab
Multi-Perspective Abstractive Answer Summarization. CoRR (2021)
Alexander R. Fabbri, Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher, Dragomir R. Radev
SummEval: Re-evaluating Summarization Evaluation. Trans. Assoc. Comput. Linguistics 9 (2021)
Alexander R. Fabbri, Faiaz Rahman, Imad Rizvi, Borui Wang, Haoran Li, Yashar Mehdad, Dragomir R. Radev
ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining. CoRR (2021)
Alexander R. Fabbri, Xiaojian Wu, Srini Iyer, Haoran Li, Mona T. Diab
AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization. CoRR (2021)
Alexander R. Fabbri, Faiaz Rahman, Imad Rizvi, Borui Wang, Haoran Li, Yashar Mehdad, Dragomir R. Radev
ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining. ACL/IJCNLP (1) (2021)
Jesse Vig, Alexander R. Fabbri, Wojciech Kryscinski, Chien-Sheng Wu, Wenhao Liu
Exploring Neural Models for Query-Focused Summarization. CoRR (2021)
Swapnil Hingmire, Irene Li, Rena Kawamura, Benjamin Chen, Alexander R. Fabbri, Xiangru Tang, Yixin Liu, Thomas George, Tammy Liao, Wai Pan Wong, Vanessa Yan, Richard Zhou, Girish K. Palshikar, Dragomir R. Radev
CLICKER: A Computational LInguistics Classification Scheme for Educational Resources. CoRR (2021)
Alexander R. Fabbri, Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher, Dragomir R. Radev
SummEval: Re-evaluating Summarization Evaluation. CoRR (2020)
Irene Li, Alexander R. Fabbri, Swapnil Hingmire, Dragomir R. Radev
R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning. CoRR (2020)
Alexander R. Fabbri, Patrick Ng, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering. ACL (2020)
Irene Li, Alexander R. Fabbri, Swapnil Hingmire, Dragomir R. Radev
R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning. COLING (2020)
Alexander R. Fabbri, Simeng Han, Haoyuan Li, Haoran Li, Marjan Ghazvininejad, Shafiq R. Joty, Dragomir R. Radev, Yashar Mehdad
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation. CoRR (2020)
Alexander R. Fabbri, Patrick Ng, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering. CoRR (2020)
Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks. AAAI (2019)
Rui Zhang, Caitlin Westerfield, Sungrok Shim, Garrett Bingham, Alexander R. Fabbri, Neha Verma, William Hu, Dragomir R. Radev
Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations. CoRR (2019)
Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks. CoRR (2019)
Tao Yu, Rui Zhang, Heyang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander R. Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter S. Lasecki, Dragomir R. Radev
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. EMNLP/IJCNLP (1) (2019)
Youngnam Lee, Youngduck Choi, Junghyun Cho, Alexander R. Fabbri, Hyunbin Loh, Chanyou Hwang, Yongku Lee, Sang-Wook Kim, Dragomir R. Radev
Creating A Neural Pedagogical Agent by Jointly Learning to Review and Assess. CoRR (2019)
Tao Yu, Rui Zhang, Heyang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander R. Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter S. Lasecki, Dragomir R. Radev
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. CoRR (2019)
Irene Li, Alexander R. Fabbri, Robert R. Tung, Dragomir R. Radev
What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning. AAAI (2019)
Alexander R. Fabbri, Irene Li, Tianwei She, Suyi Li, Dragomir R. Radev
Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model. CoRR (2019)
Alexander R. Fabbri, Irene Li, Tianwei She, Suyi Li, Dragomir R. Radev
Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model. ACL (1) (2019)
Rui Zhang, Caitlin Westerfield, Sungrok Shim, Garrett Bingham, Alexander R. Fabbri, William Hu, Neha Verma, Dragomir R. Radev
Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations. ACL (1) (2019)
Alexander R. Fabbri, Irene Li, Prawat Trairatvorakul, Yijiao He, Wei Tai Ting, Robert Tung, Caitlin Westerfield, Dragomir R. Radev
TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation. ACL (1) (2018)
Alexander R. Fabbri, Irene Li, Prawat Trairatvorakul, Yijiao He, Wei Tai Ting, Robert Tung, Caitlin Westerfield, Dragomir R. Radev
TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation. CoRR (2018)
Debanjan Ghosh, Alexander R. Fabbri, Smaranda Muresan
Sarcasm Analysis Using Conversation Context. Comput. Linguistics 44 (4) (2018)
Irene Li, Alexander R. Fabbri, Robert R. Tung, Dragomir R. Radev
What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning. CoRR (2018)
Debanjan Ghosh, Alexander R. Fabbri, Smaranda Muresan
Sarcasm Analysis using Conversation Context. CoRR (2018)
Javid Dadashkarimi, Alexander R. Fabbri, Sekhar Tatikonda, Dragomir R. Radev
Zero-shot Transfer Learning for Semantic Parsing. CoRR (2018)
Owen Rambow, Tao Yu, Axinia Radeva, Alexander R. Fabbri, Christopher Hidey, Tianrui Peng, Kathleen R. McKeown, Smaranda Muresan, Sardar Hamidian, Mona T. Diab, Debanjan Ghosh
The Columbia-GWU System at the 2016 TAC KBP BeSt Evaluation. TAC (2016)