Alexander R. Fabbri
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
7
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | DA-Pred: Performance Prediction for Text Summarization under Domain-Shift and Instruct-Tuning. | Anum Afzal, Florian Matthes, Alexander R. Fabbri |
| 2025 | ICLR | SiReRAG: Indexing Similar and Related Information for Multihop Reasoning. | Nan Zhang, Prafulla Kumar Choubey, Alexander R. Fabbri, Gabriel Bernadett-Shapiro, Rui Zhang, Prasenjit Mitra, Caiming Xiong, Chien-Sheng Wu |
| 2025 | NAACL | ReIFE: Re-evaluating Instruction-Following Evaluation. | Yixin Liu, Kejian Shi, Alexander R. Fabbri, Yilun Zhao, Peifeng Wang, Chien-Sheng Wu, Shafiq Joty, Arman Cohan |
| 2025 | NAACL | 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 |
| 2024 | EMNLP | 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 |
| 2024 | EMNLP | 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 Szab, 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 | EMNLP | Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems. | Philippe Laban, Alexander R. Fabbri, Caiming Xiong, Chien-Sheng Wu |
| 2024 | NAACL | 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 |
| 2024 | NAACL | 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 |
| 2024 | NAACL | 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 |
| 2024 | NAACL | 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 |
| 2023 | ACL | Generating EDU Extracts for Plan-Guided Summary Re-Ranking. | Griffin Adams, Alexander R. Fabbri, Faisal Ladhak, Nomie Elhadad, Kathleen R. McKeown |
| 2023 | ACL | Prompted Opinion Summarization with GPT-3.5. | Adithya Bhaskar, Alexander R. Fabbri, Greg Durrett |
| 2023 | ACL | 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 |
| 2023 | ACL | 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 |
| 2023 | ACL | Socratic Pretraining: Question-Driven Pretraining for Controllable Summarization. | Artidoro Pagnoni, Alexander R. Fabbri, Wojciech Kryscinski, Chien-Sheng Wu |
| 2023 | ACL | 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 |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2022 | EMNLP | Improving Factual Consistency in Summarization with Compression-Based Post-Editing. | Alexander R. Fabbri, Prafulla Kumar Choubey, Jesse Vig, Chien-Sheng Wu, Caiming Xiong |
| 2022 | LREC | 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 |
| 2022 | NAACL | AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization. | Alexander R. Fabbri, Xiaojian Wu, Srini Iyer, Haoran Li, Mona T. Diab |
| 2022 | NAACL | QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization. | Alexander R. Fabbri, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong |
| 2022 | NAACL | 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 |
| 2022 | NAACL | 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 |
| 2022 | NAACL | Exploring Neural Models for Query-Focused Summarization. | Jesse Vig, Alexander R. Fabbri, Wojciech Kryscinski, Chien-Sheng Wu, Wenhao Liu |
| 2021 | ACL | 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 |
| 2021 | NAACL | 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 |
| 2020 | ACL | Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering. | Alexander R. Fabbri, Patrick Ng, Zhiguo Wang, Ramesh Nallapati, Bing Xiang |
| 2020 | COLING | R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning. | Irene Li, Alexander R. Fabbri, Swapnil Hingmire, Dragomir R. Radev |
| 2019 | AAAI | 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 |
| 2019 | AAAI | 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 |
| 2019 | ACL | 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 |
| 2019 | ACL | 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 |
| 2019 | EMNLP | 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 |
| 2018 | ACL | 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 |