Alexander R. Fabbri

88 papers A* 10B 2Journal 49Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	References Improve LLM Alignment in Non-Verifiable Domains. CoRR Kejian Shi, Yixin Liu, Peifeng Wang, Alexander R. Fabbri, Shafiq Joty, Arman Cohan
2025	A*	`conf`	DA-Pred: Performance Prediction for Text Summarization under Domain-Shift and Instruct-Tuning. EMNLP Anum Afzal, Florian Matthes, Alexander R. Fabbri
2025	—	`conf`	Evaluating Cultural and Social Awareness of LLM Web Agents. NAACL (Findings) Haoyi Qiu, Alexander R. Fabbri, Divyansh Agarwal, Kung-Hsiang Huang, Sarah Tan, Nanyun Peng, Chien-Sheng Wu
2025	J	`jnl`	MultiNRC: A Challenging and Native Multilingual Reasoning Evaluation Benchmark for LLMs. CoRR Alexander R. Fabbri, Diego Mares, Jorge Flores, Meher Mankikar, Ernesto Hernandez, Dean Lee, Bing Liu, Chen Xing
2025	—	`conf`	ReIFE: Re-evaluating Instruction-Following Evaluation. NAACL (Long Papers) Yixin Liu, Kejian Shi, Alexander R. Fabbri, Yilun Zhao, Peifeng Wang, Chien-Sheng Wu, Shafiq Joty, Arman Cohan
2025	A*	`conf`	SiReRAG: Indexing Similar and Related Information for Multihop Reasoning. ICLR Nan Zhang, Prafulla Kumar Choubey, Alexander R. Fabbri, Gabriel Bernadett-Shapiro, Rui Zhang, Prasenjit Mitra, Caiming Xiong, Chien-Sheng Wu
2024	—	`conf`	Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization. NAACL-HLT (Findings) Yixin Liu, Alexander R. Fabbri, Jiawen Chen, Yilun Zhao, Simeng Han, Shafiq Joty, Pengfei Liu, Dragomir Radev, Chien-Sheng Wu, Arman Cohan
2024	—	`conf`	Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles. NAACL-HLT Kung-Hsiang Huang, Philippe Laban, Alexander R. Fabbri, Prafulla Kumar Choubey, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu
2024	J	`jnl`	Evaluating Cultural and Social Awareness of LLM Web Agents. CoRR Haoyi Qiu, Alexander R. Fabbri, Divyansh Agarwal, Kung-Hsiang Huang, Sarah Tan, Nanyun Peng, Chien-Sheng Wu
2024	A*	`conf`	FOLIO: Natural Language Reasoning with First-Order Logic. EMNLP 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
2024	—	`conf`	Fair Abstractive Summarization of Diverse Perspectives. NAACL-HLT 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
2024	J	`jnl`	Investigating the prompt leakage effect and black-box defenses for multi-turn LLM interactions. CoRR Divyansh Agarwal, Alexander R. Fabbri, Philippe Laban, Ben Risher, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu
2024	—	`conf`	On Learning to Summarize with Large Language Models as References. NAACL-HLT Yixin Liu, Kejian Shi, Katherine He, Longtian Ye, Alexander R. Fabbri, Pengfei Liu, Dragomir Radev, Arman Cohan
2024	—	`conf`	Prompt Leakage effect and mitigation strategies for multi-turn LLM Applications. EMNLP (Industry Track) Divyansh Agarwal, Alexander R. Fabbri, Ben Risher, Philippe Laban, Shafiq Joty, Chien-Sheng Wu
2024	J	`jnl`	ReIFE: Re-evaluating Instruction-Following Evaluation. CoRR Yixin Liu, Kejian Shi, Alexander R. Fabbri, Yilun Zhao, Peifeng Wang, Chien-Sheng Wu, Shafiq Joty, Arman Cohan
2024	J	`jnl`	SiReRAG: Indexing Similar and Related Information for Multihop Reasoning. CoRR Nan Zhang, Prafulla Kumar Choubey, Alexander R. Fabbri, Gabriel Bernadett-Shapiro, Rui Zhang, Prasenjit Mitra, Caiming Xiong, Chien-Sheng Wu
2024	A*	`conf`	Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems. EMNLP Philippe Laban, Alexander R. Fabbri, Caiming Xiong, Chien-Sheng Wu
2024	J	`jnl`	Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems. CoRR Philippe Laban, Alexander R. Fabbri, Caiming Xiong, Chien-Sheng Wu
2023	—	`conf`	A Transfer Learning Pipeline for Educational Resource Discovery with Application in Survey Generation. BEA@ACL Irene Li, Thomas George, Alexander R. Fabbri, Tammy Liao, Benjamin Chen, Rina Kawamura, Richard Zhou, Vanessa Yan, Swapnil Hingmire, Dragomir Radev
2023	J	`jnl`	Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization. CoRR Yixin Liu, Alexander R. Fabbri, Jiawen Chen, Yilun Zhao, Simeng Han, Shafiq Joty, Pengfei Liu, Dragomir Radev, Chien-Sheng Wu, Arman Cohan
2023	—	`conf`	CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization. ACL (Findings) Prafulla Kumar Choubey, Alexander R. Fabbri, Jesse Vig, Chien-Sheng Wu, Wenhao Liu, Nazneen Rajani
2023	J	`jnl`	Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles. CoRR Kung-Hsiang Huang, Philippe Laban, Alexander R. Fabbri, Prafulla Kumar Choubey, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu
2023	J	`jnl`	Fair Abstractive Summarization of Diverse Perspectives. CoRR 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
2023	J	`jnl`	From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting. CoRR Griffin Adams, Alexander R. Fabbri, Faisal Ladhak, Eric Lehman, Noémie Elhadad
2023	—	`conf`	Generating EDU Extracts for Plan-Guided Summary Re-Ranking. ACL (1) Griffin Adams, Alexander R. Fabbri, Faisal Ladhak, Noémie Elhadad, Kathleen R. McKeown
2023	J	`jnl`	Generating EDU Extracts for Plan-Guided Summary Re-Ranking. CoRR Griffin Adams, Alexander R. Fabbri, Faisal Ladhak, Kathleen R. McKeown, Noémie Elhadad
2023	J	`jnl`	LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond. CoRR Philippe Laban, Wojciech Kryscinski, Divyansh Agarwal, Alexander R. Fabbri, Caiming Xiong, Shafiq Joty, Chien-Sheng Wu
2023	—	`conf`	Lexical Repetitions Lead to Rote Learning: Unveiling the Impact of Lexical Overlap in Train and Test Reference Summaries. EMNLP (Findings) Prafulla Kumar Choubey, Alexander R. Fabbri, Caiming Xiong, Chien-Sheng Wu
2023	J	`jnl`	Lexical Repetitions Lead to Rote Learning: Unveiling the Impact of Lexical Overlap in Train and Test Reference Summaries. CoRR Prafulla Kumar Choubey, Alexander R. Fabbri, Caiming Xiong, Chien-Sheng Wu
2023	J	`jnl`	On Learning to Summarize with Large Language Models as References. CoRR Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Dragomir Radev, Arman Cohan
2023	—	`conf`	Prompted Opinion Summarization with GPT-3.5. ACL (Findings) Adithya Bhaskar, Alexander R. Fabbri, Greg Durrett
2023	—	`conf`	Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation. ACL (1) Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Yilun Zhao, Linyong Nan, Ruilin Han, Simeng Han, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev
2023	—	`conf`	Socratic Pretraining: Question-Driven Pretraining for Controllable Summarization. ACL (1) Artidoro Pagnoni, Alexander R. Fabbri, Wojciech Kryscinski, Chien-Sheng Wu
2023	A*	`conf`	SummEdits: Measuring LLM Ability at Factual Reasoning Through The Lens of Summarization. EMNLP Philippe Laban, Wojciech Kryscinski, Divyansh Agarwal, Alexander R. Fabbri, Caiming Xiong, Shafiq Joty, Chien-Sheng Wu
2023	A*	`conf`	Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation. EMNLP Yixin Liu, Alexander R. Fabbri, Yilun Zhao, Pengfei Liu, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev
2023	J	`jnl`	Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation. CoRR Yixin Liu, Alexander R. Fabbri, Yilun Zhao, Pengfei Liu, Shafiq R. Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev
2023	—	`conf`	Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. ACL (1) Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yavuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett
2023	J	`jnl`	XGen-7B Technical Report. CoRR 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
2022	J	`jnl`	A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation. CoRR Irene Li, Thomas George, Alexander R. Fabbri, Tammy Liao, Benjamin Chen, Rina Kawamura, Richard Zhou, Vanessa Yan, Swapnil Hingmire, Dragomir R. Radev
2022	—	`conf`	AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization. NAACL-HLT Alexander R. Fabbri, Xiaojian Wu, Srini Iyer, Haoran Li, Mona T. Diab
2022	—	`conf`	Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand. NAACL-HLT Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, Noah A. Smith
2022	J	`jnl`	CREATIVESUMM: Shared Task on Automatic Summarization for Creative Writing. CoRR Divyansh Agarwal, Alexander R. Fabbri, Simeng Han, Wojciech Kryscinski, Faisal Ladhak, Bryan Li, Kathleen R. McKeown, Dragomir Radev, Tianyi Zhang, Sam Wiseman
2022	—	`conf`	Exploring Neural Models for Query-Focused Summarization. NAACL-HLT (Findings) Jesse Vig, Alexander R. Fabbri, Wojciech Kryscinski, Chien-Sheng Wu, Wenhao Liu
2022	J	`jnl`	FOLIO: Natural Language Reasoning with First-Order Logic. CoRR 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
2022	A*	`conf`	Improving Factual Consistency in Summarization with Compression-Based Post-Editing. EMNLP Alexander R. Fabbri, Prafulla Kumar Choubey, Jesse Vig, Chien-Sheng Wu, Caiming Xiong
2022	J	`jnl`	Improving Factual Consistency in Summarization with Compression-Based Post-Editing. CoRR Alexander R. Fabbri, Prafulla Kumar Choubey, Jesse Vig, Chien-Sheng Wu, Caiming Xiong
2022	—	`conf`	Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries. NAACL-HLT Xiangru Tang, Alexander R. Fabbri, Haoran Li, Ziming Mao, Griffin Adams, Borui Wang, Asli Celikyilmaz, Yashar Mehdad, Dragomir R. Radev
2022	—	`conf`	QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization. NAACL-HLT Alexander R. Fabbri, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong
2022	J	`jnl`	Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation. CoRR 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
2022	J	`jnl`	Socratic Pretraining: Question-Driven Pretraining for Controllable Summarization. CoRR Artidoro Pagnoni, Alexander R. Fabbri, Wojciech Kryscinski, Chien-Sheng Wu
2022	B	`conf`	Surfer100: Generating Surveys From Web Resources, Wikipedia-style. LREC Irene Li, Alexander R. Fabbri, Rina Kawamura, Yixin Liu, Xiangru Tang, Jaesung Tae, Chang Shen, Sally Ma, Tomoe Mizutani, Dragomir Radev
2022	J	`jnl`	Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. CoRR Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yavuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett
2022	J	`jnl`	Zero-Shot Opinion Summarization with GPT-3. CoRR Adithya Bhaskar, Alexander R. Fabbri, Greg Durrett
2021	J	`jnl`	AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization. CoRR Alexander R. Fabbri, Xiaojian Wu, Srini Iyer, Haoran Li, Mona T. Diab
2021	J	`jnl`	Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand. CoRR Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, Noah A. Smith
2021	J	`jnl`	CLICKER: A Computational LInguistics Classification Scheme for Educational Resources. CoRR 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
2021	—	`conf`	ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining. ACL/IJCNLP (1) Alexander R. Fabbri, Faiaz Rahman, Imad Rizvi, Borui Wang, Haoran Li, Yashar Mehdad, Dragomir R. Radev
2021	J	`jnl`	ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining. CoRR Alexander R. Fabbri, Faiaz Rahman, Imad Rizvi, Borui Wang, Haoran Li, Yashar Mehdad, Dragomir R. Radev
2021	J	`jnl`	Exploring Neural Models for Query-Focused Summarization. CoRR Jesse Vig, Alexander R. Fabbri, Wojciech Kryscinski, Chien-Sheng Wu, Wenhao Liu
2021	—	`conf`	Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation. NAACL-HLT Alexander R. Fabbri, Simeng Han, Haoyuan Li, Haoran Li, Marjan Ghazvininejad, Shafiq R. Joty, Dragomir R. Radev, Yashar Mehdad
2021	J	`jnl`	Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries. CoRR Xiangru Tang, Alexander R. Fabbri, Ziming Mao, Griffin Adams, Borui Wang, Haoran Li, Yashar Mehdad, Dragomir R. Radev
2021	J	`jnl`	Multi-Perspective Abstractive Answer Summarization. CoRR Alexander R. Fabbri, Xiaojian Wu, Srini Iyer, Mona T. Diab
2021	J	`jnl`	QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization. CoRR Alexander R. Fabbri, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong
2021	J	`jnl`	SummEval: Re-evaluating Summarization Evaluation. Trans. Assoc. Comput. Linguistics Alexander R. Fabbri, Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher, Dragomir R. Radev
2021	J	`jnl`	Surfer100: Generating Surveys From Web Resources on Wikipedia-style. CoRR Irene Li, Alexander R. Fabbri, Rina Kawamura, Yixin Liu, Xiangru Tang, Jaesung Tae, Chang Shen, Sally Ma, Tomoe Mizutani, Dragomir R. Radev
2020	J	`jnl`	Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation. CoRR Alexander R. Fabbri, Simeng Han, Haoyuan Li, Haoran Li, Marjan Ghazvininejad, Shafiq R. Joty, Dragomir R. Radev, Yashar Mehdad
2020	B	`conf`	R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning. COLING Irene Li, Alexander R. Fabbri, Swapnil Hingmire, Dragomir R. Radev
2020	J	`jnl`	R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning. CoRR Irene Li, Alexander R. Fabbri, Swapnil Hingmire, Dragomir R. Radev
2020	J	`jnl`	SummEval: Re-evaluating Summarization Evaluation. CoRR Alexander R. Fabbri, Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher, Dragomir R. Radev
2020	A*	`conf`	Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering. ACL Alexander R. Fabbri, Patrick Ng, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
2020	J	`jnl`	Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering. CoRR Alexander R. Fabbri, Patrick Ng, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
2019	—	`conf`	CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. EMNLP/IJCNLP (1) 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
2019	J	`jnl`	CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. CoRR 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
2019	J	`jnl`	Creating A Neural Pedagogical Agent by Jointly Learning to Review and Assess. CoRR Youngnam Lee, Youngduck Choi, Junghyun Cho, Alexander R. Fabbri, Hyunbin Loh, Chanyou Hwang, Yongku Lee, Sang-Wook Kim, Dragomir R. Radev
2019	—	`conf`	Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations. ACL (1) Rui Zhang, Caitlin Westerfield, Sungrok Shim, Garrett Bingham, Alexander R. Fabbri, William Hu, Neha Verma, Dragomir R. Radev
2019	J	`jnl`	Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations. CoRR Rui Zhang, Caitlin Westerfield, Sungrok Shim, Garrett Bingham, Alexander R. Fabbri, Neha Verma, William Hu, Dragomir R. Radev
2019	—	`conf`	Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model. ACL (1) Alexander R. Fabbri, Irene Li, Tianwei She, Suyi Li, Dragomir R. Radev
2019	J	`jnl`	Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model. CoRR Alexander R. Fabbri, Irene Li, Tianwei She, Suyi Li, Dragomir R. Radev
2019	A*	`conf`	ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks. AAAI Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev
2019	J	`jnl`	ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks. CoRR Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev
2019	A*	`conf`	What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning. AAAI Irene Li, Alexander R. Fabbri, Robert R. Tung, Dragomir R. Radev
2018	J	`jnl`	Sarcasm Analysis Using Conversation Context. Comput. Linguistics Debanjan Ghosh, Alexander R. Fabbri, Smaranda Muresan
2018	J	`jnl`	Sarcasm Analysis using Conversation Context. CoRR Debanjan Ghosh, Alexander R. Fabbri, Smaranda Muresan
2018	—	`conf`	TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation. ACL (1) Alexander R. Fabbri, Irene Li, Prawat Trairatvorakul, Yijiao He, Wei Tai Ting, Robert Tung, Caitlin Westerfield, Dragomir R. Radev
2018	J	`jnl`	TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation. CoRR Alexander R. Fabbri, Irene Li, Prawat Trairatvorakul, Yijiao He, Wei Tai Ting, Robert Tung, Caitlin Westerfield, Dragomir R. Radev
2018	J	`jnl`	What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning. CoRR Irene Li, Alexander R. Fabbri, Robert R. Tung, Dragomir R. Radev
2018	J	`jnl`	Zero-shot Transfer Learning for Semantic Parsing. CoRR Javid Dadashkarimi, Alexander R. Fabbri, Sekhar Tatikonda, Dragomir R. Radev
2016	—	`conf`	The Columbia-GWU System at the 2016 TAC KBP BeSt Evaluation. TAC 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