Dragomir Radev

74 papers A* 16A 1B 1Journal 35Unranked 21

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models. NAACL (Long Papers) Margaret Mitchell, Giuseppe Attanasio, Ioana Baldini, Miruna Clinciu, Jordan Clive, Pieter Delobelle, Manan Dey, Sil Hamilton, Timm Dill, Jad Doughman, Ritam Dutt, Avijit Ghosh, Jessica Zosa Forde, Carolin Holtermann, Lucie-Aimée Kaffee, Tanmay Laud, Anne Lauscher, Roberto L. Lopez-Davila, Maraim Masoud, Nikita Nangia, Anaelia Ovalle, Giada Pistilli, Dragomir Radev, Beatrice Savoldi, Vipul Raheja, Jeremy Qin, Esther Ploeger, Arjun Subramonian, Kaustubh D. Dhole, Kaiser Sun, Amirbek Djanibekov, Jonibek Mansurov, Kayo Yin, Emilio Villa Cueva, Sagnik Mukherjee, Jerry Huang, Xudong Shen, Jay Gala, Hamdan Al-Ali, Tair Djanibekov, Nurdaulet Mukhituly, Shangrui Nie, Shanya Sharma, Karolina Stanczak, Eliza Szczechla, Tiago Timponi Torrent, Deepak Tunuguntla, Marcelo Viridiano, Oskar van der Wal, Adina Yakefu, Aurélie Névéol, Mike Zhang, Sydney Zink, Zeerak Talat
2024	—	`conf`	A Call for Clarity in Beam Search: How It Works and When It Stops. LREC/COLING Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Dragomir Radev, Yejin Choi, Noah A. Smith
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	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	—	`conf`	ModeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models. SIGTYPE Nathan A. Chi, Teodor Malchev, Riley Kong, Ryan Chi, Lucas Huang, Ethan A. Chi, R. Thomas McCoy, Dragomir Radev
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`	P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains. EMNLP (Findings) Simeng Han, Aaron Yu, Rui Shen, Zhenting Qi, Martin Riddell, Wenfei Zhou, Yujie Qiao, Yilun Zhao, Semih Yavuz, Ye Liu, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Dragomir Radev, Rex Ying, Arman Cohan
2024	J	`jnl`	P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains. CoRR Simeng Han, Aaron Yu, Rui Shen, Zhenting Qi, Martin Riddell, Wenfei Zhou, Yujie Qiao, Yilun Zhao, Semih Yavuz, Ye Liu, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Dragomir Radev, Rex Ying, Arman Cohan
2024	J	`jnl`	modeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models. CoRR Nathan A. Chi, Teodor Malchev, Riley Kong, Ryan A. Chi, Lucas Huang, Ethan A. Chi, R. Thomas McCoy, Dragomir Radev
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`	Answering Complex Questions over Text by Hybrid Question Parsing and Execution. CoRR Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Yingbo Zhou
2023	—	`conf`	BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting. ACL (1) Zheng Xin Yong, Hailey Schoelkopf, Niklas Muennighoff, Alham Fikri Aji, David Ifeoluwa Adelani, Khalid Almubarak, M. Saiful Bari, Lintang Sutawika, Jungo Kasai, Ahmed Baruwa, Genta Indra Winata, Stella Biderman, Edward Raff, Dragomir Radev, Vassilina Nikoulina
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	A*	`conf`	Binding Language Models in Symbolic Languages. ICLR Zhoujun Cheng, Tianbao Xie, Peng Shi, Chengzu Li, Rahul Nadkarni, Yushi Hu, Caiming Xiong, Dragomir Radev, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu
2023	—	`conf`	Crosslingual Generalization through Multitask Finetuning. ACL (1) Niklas Muennighoff, Thomas Wang, Lintang Sutawika, Adam Roberts, Stella Biderman, Teven Le Scao, M. Saiful Bari, Sheng Shen, Zheng Xin Yong, Hailey Schoelkopf, Xiangru Tang, Dragomir Radev, Alham Fikri Aji, Khalid Almubarak, Samuel Albanie, Zaid Alyafeai, Albert Webson, Edward Raff, Colin Raffel
2023	J	`jnl`	Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies. CoRR Linyong Nan, Yilun Zhao, Weijin Zou, Narutatsu Ri, Jaesung Tae, Ellen Zhang, Arman Cohan, Dragomir Radev
2023	—	`conf`	Enhancing Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies. EMNLP (Findings) Linyong Nan, Yilun Zhao, Weijin Zou, Narutatsu Ri, Jaesung Tae, Ellen Zhang, Arman Cohan, Dragomir Radev
2023	J	`jnl`	Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations. CoRR Jungo Kasai, Yuhei Kasai, Keisuke Sakaguchi, Yutaro Yamada, Dragomir Radev
2023	J	`jnl`	Explaining Graph Neural Networks via Non-parametric Subgraph Matching. CoRR Fang Wu, Siyuan Li, Lirong Wu, Dragomir Radev, Yinghui Jiang, Xurui Jin, Zhangming Niu, Stan Z. Li
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	—	`conf`	HPE: Answering Complex Questions over Text by Hybrid Question Parsing and Execution. EMNLP (Findings) Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Shafiq Joty, Yingbo Zhou
2023	—	`conf`	HiPool: Modeling Long Documents Using Graph Neural Networks. ACL (2) Irene Li, Aosong Feng, Dragomir Radev, Rex Ying
2023	J	`jnl`	HiPool: Modeling Long Documents Using Graph Neural Networks. CoRR Irene Li, Aosong Feng, Dragomir Radev, Rex Ying
2023	J	`jnl`	L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models. CoRR Ansong Ni, Pengcheng Yin, Yilun Zhao, Martin Riddell, Troy Feng, Rui Shen, Stephen Yin, Ye Liu, Semih Yavuz, Caiming Xiong, Shafiq Joty, Yingbo Zhou, Dragomir Radev, Arman Cohan
2023	A*	`conf`	LEVER: Learning to Verify Language-to-Code Generation with Execution. ICML Ansong Ni, Srini Iyer, Dragomir Radev, Veselin Stoyanov, Wen-tau Yih, Sida I. Wang, Xi Victoria Lin
2023	J	`jnl`	LEVER: Learning to Verify Language-to-Code Generation with Execution. CoRR Ansong Ni, Srini Iyer, Dragomir Radev, Ves Stoyanov, Wen-tau Yih, Sida I. Wang, Xi Victoria Lin
2023	A*	`conf`	Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions. ICLR Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Alex Polozov, Christopher Meek, Dragomir Radev, Jianfeng Gao
2023	A	`conf`	LoFT: Enhancing Faithfulness and Diversity for Table-to-Text Generation via Logic Form Control. EACL Yilun Zhao, Zhenting Qi, Linyong Nan, Lorenzo Jaime Yu Flores, Dragomir Radev
2023	J	`jnl`	LoFT: Enhancing Faithfulness and Diversity for Table-to-Text Generation via Logic Form Control. CoRR Yilun Zhao, Zhenting Qi, Linyong Nan, Lorenzo Jaime Yu Flores, Dragomir Radev
2023	—	`conf`	Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models. ACL (Findings) Borui Wang, Qiuyuan Huang, Budhaditya Deb, Aaron Halfaker, Liqun Shao, Daniel McDuff, Ahmed Hassan Awadallah, Dragomir Radev, Jianfeng Gao
2023	J	`jnl`	MACSum: Controllable Summarization with Mixed Attributes. Trans. Assoc. Comput. Linguistics Yusen Zhang, Yang Liu, Ziyi Yang, Yuwei Fang, Yulong Chen, Dragomir Radev, Chenguang Zhu, Michael Zeng, Rui Zhang
2023	J	`jnl`	MedGen: A Python Natural Language Processing Toolkit for Medical Text Processing. CoRR Rui Yang, Qingcheng Zeng, Keen You, Yujie Qiao, Lucas Huang, Chiachun Hsieh, Benjamin Rosand, Jeremy Goldwasser, Amisha D. Dave, Tiarnan D. L. Keenan, Emily Y. Chew, Dragomir Radev, Zhiyong Lu, Hua Xu, Qingyu Chen, Irene Li
2023	A*	`conf`	Molformer: Motif-Based Transformer on 3D Heterogeneous Molecular Graphs. AAAI Fang Wu, Dragomir Radev, Stan Z. Li
2023	—	`conf`	On Improving Summarization Factual Consistency from Natural Language Feedback. ACL (1) Yixin Liu, Budhaditya Deb, Milagro Teruel, Aaron Halfaker, Dragomir Radev, Ahmed Hassan Awadallah
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`	OpenRT: An Open-source Framework for Reasoning Over Tabular Data. ACL (demo) Yilun Zhao, Boyu Mi, Zhenting Qi, Linyong Nan, Minghao Guo, Arman Cohan, Dragomir Radev
2023	J	`jnl`	ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics. CoRR Zhangir Azerbayev, Bartosz Piotrowski, Hailey Schoelkopf, Edward W. Ayers, Dragomir Radev, Jeremy Avigad
2023	J	`jnl`	QTSumm: A New Benchmark for Query-Focused Table Summarization. CoRR Yilun Zhao, Zhenting Qi, Linyong Nan, Boyu Mi, Yixin Liu, Weijin Zou, Simeng Han, Xiangru Tang, Yumo Xu, Arman Cohan, Dragomir Radev
2023	A*	`conf`	QTSumm: Query-Focused Summarization over Tabular Data. EMNLP Yilun Zhao, Zhenting Qi, Linyong Nan, Boyu Mi, Yixin Liu, Weijin Zou, Simeng Han, Ruizhe Chen, Xiangru Tang, Yumo Xu, Dragomir Radev, Arman Cohan
2023	A*	`conf`	RealTime QA: What's the Answer Right Now? NeurIPS Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, Ronan Le Bras, Akari Asai, Xinyan Yu, Dragomir Radev, Noah A. Smith, Yejin Choi, Kentaro Inui
2023	A*	`conf`	Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching. ICML Fang Wu, Siyuan Li, Xurui Jin, Yinghui Jiang, Dragomir Radev, Zhangming Niu, Stan Z. Li
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`	RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations. ACL (1) Yilun Zhao, Chen Zhao, Linyong Nan, Zhenting Qi, Wenlin Zhang, Xiangru Tang, Boyu Mi, Dragomir Radev
2023	J	`jnl`	RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations. CoRR Yilun Zhao, Chen Zhao, Linyong Nan, Zhenting Qi, Wenlin Zhang, Xiangru Tang, Boyu Mi, Dragomir Radev
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`	bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark. ACL (1) Momchil Hardalov, Pepa Atanasova, Todor Mihaylov, Galia Angelova, Kiril Simov, Petya Osenova, Veselin Stoyanov, Ivan Koychev, Preslav Nakov, Dragomir Radev
2023	J	`jnl`	bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark. CoRR Momchil Hardalov, Pepa Atanasova, Todor Mihaylov, Galia Angelova, Kiril Simov, Petya Osenova, Ves Stoyanov, Ivan Koychev, Preslav Nakov, Dragomir Radev
2022	J	`jnl`	BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting. CoRR Zheng Xin Yong, Hailey Schoelkopf, Niklas Muennighoff, Alham Fikri Aji, David Ifeoluwa Adelani, Khalid Almubarak, M. Saiful Bari, Lintang Sutawika, Jungo Kasai, Ahmed Baruwa, Genta Indra Winata, Stella Biderman, Dragomir Radev, Vassilina Nikoulina
2022	—	`conf`	BOOKSUM: A Collection of Datasets for Long-form Narrative Summarization. EMNLP (Findings) Wojciech Kryscinski, Nazneen Rajani, Divyansh Agarwal, Caiming Xiong, Dragomir Radev
2022	J	`jnl`	Binding Language Models in Symbolic Languages. CoRR Zhoujun Cheng, Tianbao Xie, Peng Shi, Chengzu Li, Rahul Nadkarni, Yushi Hu, Caiming Xiong, Dragomir Radev, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu
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	J	`jnl`	Crosslingual Generalization through Multitask Finetuning. CoRR Niklas Muennighoff, Thomas Wang, Lintang Sutawika, Adam Roberts, Stella Biderman, Teven Le Scao, M. Saiful Bari, Sheng Shen, Zheng Xin Yong, Hailey Schoelkopf, Xiangru Tang, Dragomir Radev, Alham Fikri Aji, Khalid Almubarak, Samuel Albanie, Zaid Alyafeai, Albert Webson, Edward Raff, Colin Raffel
2022	J	`jnl`	Explicit Knowledge Transfer for Weakly-Supervised Code Generation. CoRR Zhangir Azerbayev, Ansong Ni, Hailey Schoelkopf, Dragomir Radev
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`	Leveraging Locality in Abstractive Text Summarization. EMNLP Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir Radev
2022	J	`jnl`	MACSum: Controllable Summarization with Mixed Attributes. CoRR Yusen Zhang, Yang Liu, Ziyi Yang, Yuwei Fang, Yulong Chen, Dragomir Radev, Chenguang Zhu, Michael Zeng, Rui Zhang
2022	J	`jnl`	Neural Natural Language Processing for unstructured data in electronic health records: A review. Comput. Sci. Rev. Irene Li, Jessica Pan, Jeremy Goldwasser, Neha Verma, Wai Pan Wong, Muhammed Yavuz Nuzumlali, Benjamin Rosand, Yixin Li, Matthew Zhang, David Chang, Richard Andrew Taylor, Harlan M. Krumholz, Dragomir Radev
2022	J	`jnl`	On Improving Summarization Factual Consistency from Natural Language Feedback. CoRR Yixin Liu, Budhaditya Deb, Milagro Teruel, Aaron Halfaker, Dragomir Radev, Ahmed Hassan Awadallah
2022	A*	`conf`	R2D2: Robust Data-to-Text with Replacement Detection. EMNLP Linyong Nan, Lorenzo Jaime Yu Flores, Yilun Zhao, Yixin Liu, Luke Benson, Weijin Zou, Dragomir Radev
2022	A*	`conf`	ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples. EMNLP Yilun Zhao, Linyong Nan, Zhenting Qi, Rui Zhang, Dragomir Radev
2022	J	`jnl`	ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples. CoRR Yilun Zhao, Linyong Nan, Zhenting Qi, Rui Zhang, Dragomir Radev
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	A*	`conf`	STRUDEL: Structured Dialogue Summarization for Dialogue Comprehension. EMNLP Borui Wang, Chengcheng Feng, Arjun Nair, Madelyn Mao, Jai Desai, Asli Celikyilmaz, Haoran Li, Yashar Mehdad, Dragomir Radev
2022	J	`jnl`	STRUDEL: Structured Dialogue Summarization for Dialogue Comprehension. CoRR Borui Wang, Chengcheng Feng, Arjun Nair, Madelyn Mao, Jai Desai, Asli Celikyilmaz, Haoran Li, Yashar Mehdad, Dragomir Radev
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	A*	`conf`	Twist Decoding: Diverse Generators Guide Each Other. EMNLP Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir Radev, Yejin Choi, Noah A. Smith
2022	A*	`conf`	Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database. EMNLP Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Yingbo Zhou
2022	J	`jnl`	Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database. CoRR Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Yingbo Zhou
2022	A*	`conf`	UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. EMNLP Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu
2022	J	`jnl`	When Geometric Deep Learning Meets Pretrained Protein Language Models. CoRR Fang Wu, Tao Yu, Dragomir Radev, Jinbo Xu
2021	J	`jnl`	COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization. npj Digit. Medicine Andre Esteva, Anuprit Kale, Romain Paulus, Kazuma Hashimoto, Wenpeng Yin, Dragomir Radev, Richard Socher
2021	—	`conf`	Testing Cross-Database Semantic Parsers With Canonical Utterances. Eval4NLP Heather C. Lent, Semih Yavuz, Tao Yu, Tong Niu, Yingbo Zhou, Dragomir Radev, Xi Victoria Lin