The Columbia-GWU System at the 2016 TAC KBP BeSt Evaluation. - Owen Rambow; Tao Yu 009; Axinia Radeva; Alexander R. Fabbri; Christopher Hidey; Tianrui Peng; Kathleen R. McKeown; Smaranda Muresan; Sardar Hamidian; Mona T. Diab; Debanjan Ghosh (TAC, 2016)

The Role of Conversation Context for Sarcasm Detection in Online Interactions. - Debanjan Ghosh; Alexander Richard Fabbri; Smaranda Muresan (SIGDIAL Conference, 2017)

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 (ACL (1), 2018)

Sarcasm Analysis Using Conversation Context. - Debanjan Ghosh; Alexander R. Fabbri; Smaranda Muresan (Comput. Linguistics, 2018)

Zero-shot Transfer Learning for Semantic Parsing. - Javid Dadashkarimi; Alexander R. Fabbri; Sekhar Tatikonda; Dragomir R. Radev (CoRR, 2018)

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 (AAAI, 2019)

ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks. - Michihiro Yasunaga; Jungo Kasai; Rui Zhang 037; Alexander R. Fabbri; Irene Li; Dan Friedman; Dragomir R. Radev (AAAI, 2019)

Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model. - Alexander R. Fabbri; Irene Li; Tianwei She; Suyi Li 002; Dragomir R. Radev (ACL (1), 2019)

Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations. - Rui Zhang 037; Caitlin Westerfield; Sungrok Shim; Garrett Bingham; Alexander R. Fabbri; William Hu; Neha Verma 001; Dragomir R. Radev (ACL (1), 2019)

CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. - Tao Yu 009; Rui Zhang 037; Heyang Er; Suyi Li 002; Eric Xue 001; Bo Pang 004; Xi Victoria Lin; Yi Chern Tan; Tianze Shi; Zihan Li; Youxuan Jiang; Michihiro Yasunaga; et al. (EMNLP/IJCNLP (1), 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)

Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering. - Alexander R. Fabbri; Patrick Ng; Zhiguo Wang; Ramesh Nallapati; Bing Xiang (ACL, 2020)

R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning. - Irene Li; Alexander R. Fabbri; Swapnil Hingmire; Dragomir R. Radev (COLING, 2020)

ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining. - Alexander R. Fabbri; Faiaz Rahman; Imad Rizvi; Borui Wang; Haoran Li 007; Yashar Mehdad; Dragomir R. Radev (ACL/IJCNLP (1), 2021)

Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation. - Alexander R. Fabbri; Simeng Han; Haoyuan Li; Haoran Li 007; Marjan Ghazvininejad; Shafiq R. Joty; Dragomir R. Radev; Yashar Mehdad (NAACL-HLT, 2021)

Multi-Perspective Abstractive Answer Summarization. - Alexander R. Fabbri; Xiaojian Wu; Srini Iyer 001; Mona T. Diab (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 007; Yashar Mehdad; Dragomir R. Radev (CoRR, 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 003; Thomas George; Tammy Liao; Wai Pan Wong; Vanessa Yan; Richard Zhou; et al. (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)

Improving Factual Consistency in Summarization with Compression-Based Post-Editing. - Alexander R. Fabbri; Prafulla Kumar Choubey; Jesse Vig; Chien-Sheng Wu; Caiming Xiong (EMNLP, 2022)

Surfer100: Generating Surveys From Web Resources, Wikipedia-style. - Irene Li; Alexander R. Fabbri; Rina Kawamura; Yixin Liu 003; Xiangru Tang; Jaesung Tae; Chang Shen; Sally Ma; Tomoe Mizutani; Dragomir Radev (LREC, 2022)

AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization. - Alexander R. Fabbri; Xiaojian Wu; Srini Iyer 001; Haoran Li 007; Mona T. Diab (NAACL-HLT, 2022)

QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization. - Alexander R. Fabbri; Chien-Sheng Wu; Wenhao Liu 003; Caiming Xiong (NAACL-HLT, 2022)

Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand. - Jungo Kasai; Keisuke Sakaguchi; Ronan Le Bras 001; Lavinia Dunagan; Jacob Morrison; Alexander R. Fabbri; Yejin Choi 001; Noah A. Smith (NAACL-HLT, 2022)

Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries. - Xiangru Tang; Alexander R. Fabbri; Haoran Li 007; Ziming Mao; Griffin Adams; Borui Wang; Asli Celikyilmaz; Yashar Mehdad; Dragomir R. Radev (NAACL-HLT, 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)

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)

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)

Zero-Shot Opinion Summarization with GPT-3. - Adithya Bhaskar; Alexander R. Fabbri; Greg Durrett (CoRR, 2022)

Generating EDU Extracts for Plan-Guided Summary Re-Ranking. - Griffin Adams; Alexander R. Fabbri; Faisal Ladhak; Noémie Elhadad; Kathleen R. McKeown (ACL (1), 2023)

Prompted Opinion Summarization with GPT-3.5. - Adithya Bhaskar; Alexander R. Fabbri; Greg Durrett (ACL (Findings), 2023)

CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization. - Prafulla Kumar Choubey; Alexander R. Fabbri; Jesse Vig; Chien-Sheng Wu; Wenhao Liu 003; Nazneen Rajani (ACL (Findings), 2023)

Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation. - Yixin Liu 003; Alexander R. Fabbri; Pengfei Liu 003; Yilun Zhao 001; Linyong Nan; Ruilin Han; Simeng Han; Shafiq Joty; Chien-Sheng Wu; Caiming Xiong; Dragomir Radev (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)

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 (BEA@ACL, 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 (EMNLP (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)

Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation. - Yixin Liu 003; Alexander R. Fabbri; Yilun Zhao 001; Pengfei Liu 003; Shafiq Joty; Chien-Sheng Wu; Caiming Xiong; Dragomir Radev (EMNLP, 2023)

On Learning to Summarize with Large Language Models as References. - Yixin Liu 003; Alexander R. Fabbri; Pengfei Liu 003; Dragomir Radev; Arman Cohan (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)

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)

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)

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 (EMNLP (Industry Track), 2024)

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)

Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems. - Philippe Laban; Alexander R. Fabbri; Caiming Xiong; Chien-Sheng Wu (EMNLP, 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 (NAACL-HLT, 2024)

Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization. - Yixin Liu 003; Alexander R. Fabbri; Jiawen Chen; Yilun Zhao 001; Simeng Han; Shafiq Joty; Pengfei Liu 003; Dragomir Radev; Chien-Sheng Wu; Arman Cohan (NAACL-HLT (Findings), 2024)

On Learning to Summarize with Large Language Models as References. - Yixin Liu 003; Kejian Shi; Katherine He; Longtian Ye; Alexander R. Fabbri; Pengfei Liu 003; Dragomir Radev; Arman Cohan (NAACL-HLT, 2024)

Fair Abstractive Summarization of Diverse Perspectives. - Yusen Zhang 001; Nan Zhang; Yixin Liu 003; Alexander R. Fabbri; Junru Liu; Ryo Kamoi; Xiaoxin Lu; Caiming Xiong; Jieyu Zhao 001; Dragomir Radev; Kathleen R. McKeown; Rui Zhang 037 (NAACL-HLT, 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)

SiReRAG: Indexing Similar and Related Information for Multihop Reasoning. - Nan Zhang; Prafulla Kumar Choubey; Alexander R. Fabbri; Gabriel Bernadett-Shapiro; Rui Zhang 037; Prasenjit Mitra; Caiming Xiong; Chien-Sheng Wu (ICLR, 2025)

ReIFE: Re-evaluating Instruction-Following Evaluation. - Yixin Liu 003; Kejian Shi; Alexander R. Fabbri; Yilun Zhao 001; Peifeng Wang; Chien-Sheng Wu; Shafiq Joty; Arman Cohan (NAACL (Long Papers), 2025)

Evaluating Cultural and Social Awareness of LLM Web Agents. - Haoyi Qiu; Alexander R. Fabbri; Divyansh Agarwal; Kung-Hsiang Huang; Sarah Tan; Nanyun Peng 001; Chien-Sheng Wu (NAACL (Findings), 2025)

MultiNRC: A Challenging and Native Multilingual Reasoning Evaluation Benchmark for LLMs. - Alexander R. Fabbri; Diego Mares; Jorge Flores; Meher Mankikar; Ernesto Hernandez; Dean Lee; Bing Liu; Chen Xing (CoRR, 2025)