Alexander R. Fabbri

According to our database, Alexander R. Fabbri authored at least 54 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evaluating Cultural and Social Awareness of LLM Web Agents.

Haoyi Qiu, Alexander R. Fabbri, Divyansh Agarwal, Kung-Hsiang Huang, Sarah Tan, Nanyun Peng, Chien-Sheng Wu

CoRR, 2024

ReIFE: Re-evaluating Instruction-Following Evaluation.

Yixin Liu, Kejian Shi, Alexander R. Fabbri, Yilun Zhao, Peifeng Wang, Chien-Sheng Wu, Shafiq Joty, Arman Cohan

CoRR, 2024

Investigating the prompt leakage effect and black-box defenses for multi-turn LLM interactions.

Divyansh Agarwal, Alexander R. Fabbri, Philippe Laban, Ben Risher, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu

CoRR, 2024

Fair Abstractive Summarization of Diverse Perspectives.

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

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

On Learning to Summarize with Large Language Models as References.

Yixin Liu, Kejian Shi, Katherine He, Longtian Ye, Alexander R. Fabbri, Pengfei Liu, Dragomir Radev, Arman Cohan

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization.

Yixin Liu, Alexander R. Fabbri, Jiawen Chen, Yilun Zhao, Simeng Han, Shafiq Joty, Pengfei Liu, Dragomir Radev, Chien-Sheng Wu, Arman Cohan

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles.

Kung-Hsiang Huang, Philippe Laban, Alexander R. Fabbri, Prafulla Kumar Choubey, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems.

Philippe Laban, Alexander R. Fabbri, Caiming Xiong, Chien-Sheng Wu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

FOLIO: Natural Language Reasoning with First-Order Logic.

Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Wenfei Zhou, James Coady, David Peng, Yujie Qiao, Luke Benson, Lucy Sun, Alexander Wardle-Solano, Hannah Szabó, Ekaterina Zubova, Matthew Burtell, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Alexander R. Fabbri, Wojciech Kryscinski, Semih Yavuz, Ye Liu, Xi Victoria Lin, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Rex Ying, Arman Cohan, Dragomir Radev

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Prompt Leakage effect and mitigation strategies for multi-turn LLM Applications.

Divyansh Agarwal, Alexander R. Fabbri, Ben Risher, Philippe Laban, Shafiq Joty, Chien-Sheng Wu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

2023

From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting.

Griffin Adams, Alexander R. Fabbri, Faisal Ladhak, Eric Lehman, Noémie Elhadad

CoRR, 2023

XGen-7B Technical Report.

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

CoRR, 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

On Learning to Summarize with Large Language Models as References.

Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Dragomir Radev, Arman Cohan

CoRR, 2023

Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation.

Yixin Liu, Alexander R. Fabbri, Yilun Zhao, Pengfei Liu, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Lexical Repetitions Lead to Rote Learning: Unveiling the Impact of Lexical Overlap in Train and Test Reference Summaries.

Prafulla Kumar Choubey, Alexander R. Fabbri, Caiming Xiong, Chien-Sheng Wu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Transfer Learning Pipeline for Educational Resource Discovery with Application in Survey Generation.

Irene Li, Thomas George, Alexander R. Fabbri, Tammy Liao, Benjamin Chen, Rina Kawamura, Richard Zhou, Vanessa Yan, Swapnil Hingmire, Dragomir Radev

Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors.

Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yavuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett

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.

Artidoro Pagnoni, Alexander R. Fabbri, Wojciech Kryscinski, Chien-Sheng Wu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation.

Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Yilun Zhao, Linyong Nan, Ruilin Han, Simeng Han, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization.

Prafulla Kumar Choubey, Alexander R. Fabbri, Jesse Vig, Chien-Sheng Wu, Wenhao Liu, Nazneen Rajani

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Prompted Opinion Summarization with GPT-3.5.

Adithya Bhaskar, Alexander R. Fabbri, Greg Durrett

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Generating EDU Extracts for Plan-Guided Summary Re-Ranking.

Griffin Adams, Alexander R. Fabbri, Faisal Ladhak, Noémie Elhadad, Kathleen R. McKeown

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Zero-Shot Opinion Summarization with GPT-3.

Adithya Bhaskar, Alexander R. Fabbri, Greg Durrett

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

FOLIO: Natural Language Reasoning with First-Order Logic.

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

CoRR, 2022

A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation.

Irene Li, Thomas George, Alexander R. Fabbri, Tammy Liao, Benjamin Chen, Rina Kawamura, Richard Zhou, Vanessa Yan, Swapnil Hingmire, Dragomir R. Radev

CoRR, 2022

Exploring Neural Models for Query-Focused Summarization.

Jesse Vig, Alexander R. Fabbri, Wojciech Kryscinski, Chien-Sheng Wu, Wenhao Liu

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries.

Xiangru Tang, Alexander R. Fabbri, Haoran Li, Ziming Mao, Griffin Adams, Borui Wang, Asli Celikyilmaz, Yashar Mehdad, Dragomir R. Radev

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand.

Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, Noah A. Smith

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization.

Alexander R. Fabbri, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization.

Alexander R. Fabbri, Xiaojian Wu, Srini Iyer, Haoran Li, Mona T. Diab

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Surfer100: Generating Surveys From Web Resources, Wikipedia-style.

Irene Li, Alexander R. Fabbri, Rina Kawamura, Yixin Liu, Xiangru Tang, Jaesung Tae, Chang Shen, Sally Ma, Tomoe Mizutani, Dragomir Radev

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Improving Factual Consistency in Summarization with Compression-Based Post-Editing.

Alexander R. Fabbri, Prafulla Kumar Choubey, Jesse Vig, Chien-Sheng Wu, Caiming Xiong

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

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

CLICKER: A Computational LInguistics Classification Scheme for Educational Resources.

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

CoRR, 2021

Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries.

Xiangru Tang, Alexander R. Fabbri, Ziming Mao, Griffin Adams, Borui Wang, Haoran Li, Yashar Mehdad, Dragomir R. Radev

CoRR, 2021

Multi-Perspective Abstractive Answer Summarization.

Alexander R. Fabbri, Xiaojian Wu, Srini Iyer, Mona T. Diab

CoRR, 2021

Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation.

Alexander R. Fabbri, Simeng Han, Haoyuan Li, Haoran Li, Marjan Ghazvininejad, Shafiq R. Joty, Dragomir R. Radev, Yashar Mehdad

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining.

Alexander R. Fabbri, Faiaz Rahman, Imad Rizvi, Borui Wang, Haoran Li, Yashar Mehdad, Dragomir R. Radev

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning.

Irene Li, Alexander R. Fabbri, Swapnil Hingmire, Dragomir R. Radev

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering.

Alexander R. Fabbri, Patrick Ng, Zhiguo Wang, Ramesh Nallapati, Bing Xiang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Creating A Neural Pedagogical Agent by Jointly Learning to Review and Assess.

Youngnam Lee, Youngduck Choi, Junghyun Cho, Alexander R. Fabbri, Hyunbin Loh, Chanyou Hwang, Yongku Lee, Sang-Wook Kim, Dragomir R. Radev

CoRR, 2019

CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases.

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

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations.

Rui Zhang, Caitlin Westerfield, Sungrok Shim, Garrett Bingham, Alexander R. Fabbri, William Hu, Neha Verma, Dragomir R. Radev

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model.

Alexander R. Fabbri, Irene Li, Tianwei She, Suyi Li, Dragomir R. Radev

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks.

Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning.

Irene Li, Alexander R. Fabbri, Robert R. Tung, Dragomir R. Radev

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Zero-shot Transfer Learning for Semantic Parsing.

Javid Dadashkarimi, Alexander R. Fabbri, Sekhar Tatikonda, Dragomir R. Radev

CoRR, 2018

Sarcasm Analysis Using Conversation Context.

Debanjan Ghosh, Alexander R. Fabbri, Smaranda Muresan

Comput. Linguistics, 2018

TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation.

Alexander R. Fabbri, Irene Li, Prawat Trairatvorakul, Yijiao He, Wei Tai Ting, Robert Tung, Caitlin Westerfield, Dragomir R. Radev

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

The Role of Conversation Context for Sarcasm Detection in Online Interactions.

Debanjan Ghosh, Alexander Richard Fabbri, Smaranda Muresan

Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, 2017

2016

The Columbia-GWU System at the 2016 TAC KBP BeSt Evaluation.

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

Proceedings of the 2016 Text Analysis Conference, 2016