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Dragomir Radev
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- affiliation: Yale University, New Haven, CT, USA
- affiliation (former): University of Michigan, Ann Arbor, USA
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2020 – today
- 2023
[c166]Fang Wu, Dragomir Radev, Stan Z. Li:
Molformer: Motif-Based Transformer on 3D Heterogeneous Molecular Graphs. AAAI 2023: 5312-5320- [c165]Irene Li, Aosong Feng, Dragomir Radev, Rex Ying:
HiPool: Modeling Long Documents Using Graph Neural Networks. ACL (2) 2023: 161-171 - [c164]Yilun Zhao, Boyu Mi, Zhenting Qi, Linyong Nan, Minghao Guo, Arman Cohan, Dragomir Radev:
OpenRT: An Open-source Framework for Reasoning Over Tabular Data. ACL (demo) 2023: 336-347 - [c163]Borui Wang, Qiuyuan Huang, Budhaditya Deb, Aaron Halfaker, Liqun Shao, Daniel McDuff, Ahmed Hassan Awadallah, Dragomir Radev, Jianfeng Gao:
Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models. ACL (Findings) 2023: 1762-1773 - [c162]Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Yilun Zhao, Linyong Nan, Ruilin Han, Simeng Han, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev:
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation. ACL (1) 2023: 4140-4170 - [c161]Yilun Zhao, Chen Zhao, Linyong Nan, Zhenting Qi, Wenlin Zhang, Xiangru Tang, Boyu Mi, Dragomir Radev:
RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations. ACL (1) 2023: 6064-6081 - [c160]Momchil Hardalov, Pepa Atanasova, Todor Mihaylov, Galia Angelova, Kiril Simov, Petya Osenova, Veselin Stoyanov, Ivan Koychev, Preslav Nakov, Dragomir Radev:
bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark. ACL (1) 2023: 8733-8759 - [c159]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:
BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting. ACL (1) 2023: 11682-11703 - [c158]Yixin Liu, Budhaditya Deb, Milagro Teruel, Aaron Halfaker, Dragomir Radev, Ahmed Hassan Awadallah:
On Improving Summarization Factual Consistency from Natural Language Feedback. ACL (1) 2023: 15144-15161 - [c157]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:
Crosslingual Generalization through Multitask Finetuning. ACL (1) 2023: 15991-16111 - [c156]Irene Li, Thomas George, Alexander R. Fabbri, Tammy Liao, Benjamin Chen, Rina Kawamura, Richard Zhou, Vanessa Yan, Swapnil Hingmire, Dragomir Radev:
A Transfer Learning Pipeline for Educational Resource Discovery with Application in Survey Generation. BEA@ACL 2023: 29-43 - [c155]Yilun Zhao, Zhenting Qi, Linyong Nan, Lorenzo Jaime Yu Flores, Dragomir Radev:
LoFT: Enhancing Faithfulness and Diversity for Table-to-Text Generation via Logic Form Control. EACL 2023: 554-561 - [c154]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:
Binding Language Models in Symbolic Languages. ICLR 2023 - [c153]Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Alex Polozov, Christopher Meek, Dragomir Radev, Jianfeng Gao:
Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions. ICLR 2023 - [c152]Ansong Ni, Srini Iyer, Dragomir Radev, Veselin Stoyanov, Wen-Tau Yih, Sida I. Wang, Xi Victoria Lin:
LEVER: Learning to Verify Language-to-Code Generation with Execution. ICML 2023: 26106-26128 - [c151]Fang Wu, Siyuan Li, Xurui Jin, Yinghui Jiang, Dragomir Radev, Zhangming Niu, Stan Z. Li:
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching. ICML 2023: 37511-37523 - [i104]Fang Wu, Siyuan Li, Lirong Wu, Dragomir Radev, Yinghui Jiang, Xurui Jin, Zhangming Niu, Stan Z. Li:
Explaining Graph Neural Networks via Non-parametric Subgraph Matching. CoRR abs/2301.02780 (2023) - [i103]Yilun Zhao, Zhenting Qi, Linyong Nan, Lorenzo Jaime Yu Flores, Dragomir Radev:
LoFT: Enhancing Faithfulness and Diversity for Table-to-Text Generation via Logic Form Control. CoRR abs/2302.02962 (2023) - [i102]Ansong Ni, Srini Iyer, Dragomir Radev, Ves Stoyanov, Wen-tau Yih, Sida I. Wang, Xi Victoria Lin:
LEVER: Learning to Verify Language-to-Code Generation with Execution. CoRR abs/2302.08468 (2023) - [i101]Zhangir Azerbayev, Bartosz Piotrowski, Hailey Schoelkopf, Edward W. Ayers, Dragomir Radev, Jeremy Avigad:
ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics. CoRR abs/2302.12433 (2023) - [i100]Yixin Liu, Alexander R. Fabbri, Yilun Zhao, Pengfei Liu, Shafiq R. Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev:
Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation. CoRR abs/2303.03608 (2023) - [i99]Jungo Kasai, Yuhei Kasai, Keisuke Sakaguchi, Yutaro Yamada, Dragomir Radev:
Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations. CoRR abs/2303.18027 (2023) - [i98]Irene Li, Aosong Feng, Dragomir Radev, Rex Ying:
HiPool: Modeling Long Documents Using Graph Neural Networks. CoRR abs/2305.03319 (2023) - [i97]Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Yingbo Zhou:
Answering Complex Questions over Text by Hybrid Question Parsing and Execution. CoRR abs/2305.07789 (2023) - [i96]Linyong Nan, Yilun Zhao, Weijin Zou, Narutatsu Ri, Jaesung Tae, Ellen Zhang, Arman Cohan, Dragomir Radev:
Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies. CoRR abs/2305.12586 (2023) - [i95]Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Dragomir Radev, Arman Cohan:
On Learning to Summarize with Large Language Models as References. CoRR abs/2305.14239 (2023) - [i94]Yilun Zhao, Zhenting Qi, Linyong Nan, Boyu Mi, Yixin Liu, Weijin Zou, Simeng Han, Xiangru Tang, Yumo Xu, Arman Cohan, Dragomir Radev:
QTSumm: A New Benchmark for Query-Focused Table Summarization. CoRR abs/2305.14303 (2023) - [i93]Momchil Hardalov, Pepa Atanasova, Todor Mihaylov, Galia Angelova, Kiril Simov, Petya Osenova, Ves Stoyanov, Ivan Koychev, Preslav Nakov, Dragomir Radev:
bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark. CoRR abs/2306.02349 (2023) - [i92]Yilun Zhao, Chen Zhao, Linyong Nan, Zhenting Qi, Wenlin Zhang, Xiangru Tang, Boyu Mi, Dragomir Radev:
RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations. CoRR abs/2306.14321 (2023) - 2022
- [j36]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:
Neural Natural Language Processing for unstructured data in electronic health records: A review. Comput. Sci. Rev. 46: 100511 (2022) - [j35]Linyong Nan, Chiachun Hsieh, Ziming Mao, Xi Victoria Lin, Neha Verma, Rui Zhang, Wojciech Kryscinski, Hailey Schoelkopf, Riley Kong, Xiangru Tang, Mutethia Mutuma, Ben Rosand, Isabel Trindade, Renusree Bandaru, Jacob Cunningham, Caiming Xiong, Dragomir R. Radev:
FeTaQA: Free-form Table Question Answering. Trans. Assoc. Comput. Linguistics 10: 35-49 (2022) - [c150]Stephen H. Bach, Victor Sanh, Zheng Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M. Saiful Bari, Thibault Févry, Zaid Alyafeai, Manan Dey, Andrea Santilli, Zhiqing Sun, Srulik Ben-David, Canwen Xu, Gunjan Chhablani, Han Wang, Jason Alan Fries, Maged Saeed AlShaibani, Shanya Sharma, Urmish Thakker, Khalid Almubarak, Xiangru Tang, Dragomir R. Radev, Mike Tian-Jian Jiang, Alexander M. Rush:
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts. ACL (demo) 2022: 93-104 - [c149]Yusen Zhang, Ansong Ni, Ziming Mao, Chen Henry Wu, Chenguang Zhu, Budhaditya Deb, Ahmed Hassan Awadallah, Dragomir R. Radev, Rui Zhang:
Summ$^N$: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents. ACL (1) 2022: 1592-1604 - [c148]Ziming Mao, Chen Henry Wu, Ansong Ni, Yusen Zhang, Rui Zhang, Tao Yu, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir R. Radev:
DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization. ACL (1) 2022: 1687-1698 - [c147]Yixin Liu, Pengfei Liu, Dragomir R. Radev, Graham Neubig:
BRIO: Bringing Order to Abstractive Summarization. ACL (1) 2022: 2890-2903 - [c146]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:
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. EMNLP 2022: 602-631 - [c145]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir Radev, Yejin Choi, Noah A. Smith:
Twist Decoding: Diverse Generators Guide Each Other. EMNLP 2022: 4909-4923 - [c144]Borui Wang, Chengcheng Feng, Arjun Nair, Madelyn Mao, Jai Desai, Asli Celikyilmaz, Haoran Li, Yashar Mehdad, Dragomir Radev:
STRUDEL: Structured Dialogue Summarization for Dialogue Comprehension. EMNLP 2022: 4949-4958 - [c143]Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir Radev:
Leveraging Locality in Abstractive Text Summarization. EMNLP 2022: 6081-6093 - [c142]Wojciech Kryscinski, Nazneen Rajani, Divyansh Agarwal, Caiming Xiong, Dragomir Radev:
BOOKSUM: A Collection of Datasets for Long-form Narrative Summarization. EMNLP (Findings) 2022: 6536-6558 - [c141]Linyong Nan, Lorenzo Jaime Yu Flores, Yilun Zhao, Yixin Liu, Luke Benson, Weijin Zou, Dragomir Radev:
R2D2: Robust Data-to-Text with Replacement Detection. EMNLP 2022: 6903-6917 - [c140]Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Yingbo Zhou:
Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database. EMNLP 2022: 8858-8869 - [c139]Yilun Zhao, Linyong Nan, Zhenting Qi, Rui Zhang, Dragomir Radev:
ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples. EMNLP 2022: 9006-9018 - [c138]Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Isaac Johnson, Gérard Dupont, Jesse Dodge, Kyle Lo, Zeerak Talat, Dragomir R. Radev, Aaron Gokaslan, Somaieh Nikpoor, Peter Henderson, Rishi Bommasani, Margaret Mitchell:
Data Governance in the Age of Large-Scale Data-Driven Language Technology. FAccT 2022: 2206-2222 - [c137]Irene Li, Alexander R. Fabbri, Rina Kawamura, Yixin Liu, Xiangru Tang, Jaesung Tae, Chang Shen, Sally Ma, Tomoe Mizutani, Dragomir Radev:
Surfer100: Generating Surveys From Web Resources, Wikipedia-style. LREC 2022: 5388-5392 - [c136]Xiangru Tang, Arjun Nair, Borui Wang, Bingyao Wang, Jai Desai, Aaron Wade, Haoran Li, Asli Celikyilmaz, Yashar Mehdad, Dragomir R. Radev:
CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning. NAACL-HLT 2022: 5657-5668 - [c135]Xiangru Tang, Alexander R. Fabbri, Haoran Li, Ziming Mao, Griffin Adams, Borui Wang, Asli Celikyilmaz, Yashar Mehdad, Dragomir R. Radev:
Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries. NAACL-HLT 2022: 5680-5692 - [i91]Irene Li, Thomas George, Alexander R. Fabbri, Tammy Liao, Benjamin Chen, Rina Kawamura, Richard Zhou, Vanessa Yan, Swapnil Hingmire, Dragomir R. Radev:
A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation. CoRR abs/2201.02312 (2022) - [i90]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 R. Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu:
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. CoRR abs/2201.05966 (2022) - [i89]Yixin Liu, Pengfei Liu, Dragomir R. Radev, Graham Neubig:
BRIO: Bringing Order to Abstractive Summarization. CoRR abs/2203.16804 (2022) - [i88]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Dragomir R. Radev, Yejin Choi, Noah A. Smith:
Beam Decoding with Controlled Patience. CoRR abs/2204.05424 (2022) - [i87]Irene Li, Keen You, Xiangru Tang, Yujie Qiao, Lucas Huang, Chiachun Hsieh, Benjamin Rosand, Dragomir R. Radev:
EHRKit: A Python Natural Language Processing Toolkit for Electronic Health Record Texts. CoRR abs/2204.06604 (2022) - [i86]Fang Wu, Qiang Zhang, Dragomir R. Radev, Yuyang Wang, Xurui Jin, Yinghui Jiang, Zhangming Niu, Stan Z. Li:
Pre-training of Deep Protein Models with Molecular Dynamics Simulations for Drug Binding. CoRR abs/2204.08663 (2022) - [i85]Fang Wu, Siyuan Li, Lirong Wu, Dragomir R. Radev, Qiang Zhang, Stan Z. Li:
Discovering the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions. CoRR abs/2205.07266 (2022) - [i84]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir R. Radev, Yejin Choi, Noah A. Smith:
Twist Decoding: Diverse Generators Guide Each Other. CoRR abs/2205.09273 (2022) - [i83]Linyong Nan, Lorenzo Jaime Yu Flores, Yilun Zhao, Yixin Liu, Luke Benson, Weijin Zou, Dragomir R. Radev:
R2D2: Robust Data-to-Text with Replacement Detection. CoRR abs/2205.12467 (2022) - [i82]Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir R. Radev:
Leveraging Locality in Abstractive Text Summarization. CoRR abs/2205.12476 (2022) - [i81]Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Oleksandr Polozov, Christopher Meek, Dragomir R. Radev, Jianfeng Gao:
Learning from Self-Sampled Correct and Partially-Correct Programs. CoRR abs/2205.14318 (2022) - [i80]Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Gérard Dupont, Jesse Dodge, Kyle Lo, Zeerak Talat, Isaac Johnson, Dragomir R. Radev, Somaieh Nikpoor, Jörg Frohberg, Aaron Gokaslan, Peter Henderson, Rishi Bommasani, Margaret Mitchell:
Data Governance in the Age of Large-Scale Data-Driven Language Technology. CoRR abs/2206.03216 (2022) - [i79]Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir R. Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh D. Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek, Paul Pu Liang, Pawan Sasanka Ammanamanchi, Qi Zhu, Ratish Puduppully, Reno Kriz, Rifat Shahriyar, Ronald Cardenas, Saad Mahamood, Salomey Osei, Samuel Cahyawijaya, Sanja Stajner, Sébastien Montella, Shailza Jolly, Simon Mille, Tahmid Hasan, Tianhao Shen, Tosin P. AMahidewumi, Vikas Raunak, Vipul Raheja, Vitaly Nikolaev, Vivian Tsai, Yacine Jernite, Ying Xu, Yisi Sang, Yixin Liu, Yufang Hou:
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. CoRR abs/2206.11249 (2022) - [i78]Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, Ronan Le Bras, Akari Asai, Xinyan Yu, Dragomir R. Radev, Noah A. Smith, Yejin Choi, Kentaro Inui:
RealTime QA: What's the Answer Right Now? CoRR abs/2207.13332 (2022) - [i77]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:
FOLIO: Natural Language Reasoning with First-Order Logic. CoRR abs/2209.00840 (2022) - [i76]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:
Binding Language Models in Symbolic Languages. CoRR abs/2210.02875 (2022) - [i75]Yilun Zhao, Linyong Nan, Zhenting Qi, Rui Zhang, Dragomir Radev:
ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples. CoRR abs/2210.12374 (2022) - [i74]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:
Crosslingual Generalization through Multitask Finetuning. CoRR abs/2211.01786 (2022) - [i73]Yusen Zhang, Yang Liu, Ziyi Yang, Yuwei Fang, Yulong Chen, Dragomir Radev, Chenguang Zhu, Michael Zeng, Rui Zhang:
MACSum: Controllable Summarization with Mixed Attributes. CoRR abs/2211.05041 (2022) - [i72]Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Yingbo Zhou:
Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database. CoRR abs/2211.05165 (2022) - [i71]Divyansh Agarwal, Alexander R. Fabbri, Simeng Han, Wojciech Kryscinski, Faisal Ladhak, Bryan Li, Kathleen R. McKeown, Dragomir Radev, Tianyi Zhang, Sam Wiseman:
CREATIVESUMM: Shared Task on Automatic Summarization for Creative Writing. CoRR abs/2211.05886 (2022) - [i70]Zhangir Azerbayev, Ansong Ni, Hailey Schoelkopf, Dragomir Radev:
Explicit Knowledge Transfer for Weakly-Supervised Code Generation. CoRR abs/2211.16740 (2022) - [i69]Fang Wu, Tao Yu, Dragomir Radev, Jinbo Xu:
When Geometric Deep Learning Meets Pretrained Protein Language Models. CoRR abs/2212.03447 (2022) - [i68]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:
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation. CoRR abs/2212.07981 (2022) - [i67]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:
BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting. CoRR abs/2212.09535 (2022) - [i66]Yixin Liu, Budhaditya Deb, Milagro Teruel, Aaron Halfaker, Dragomir Radev, Ahmed Hassan Awadallah:
On Improving Summarization Factual Consistency from Natural Language Feedback. CoRR abs/2212.09968 (2022) - [i65]Borui Wang, Chengcheng Feng, Arjun Nair, Madelyn Mao, Jai Desai, Asli Celikyilmaz, Haoran Li, Yashar Mehdad, Dragomir Radev:
STRUDEL: Structured Dialogue Summarization for Dialogue Comprehension. CoRR abs/2212.12652 (2022) - 2021
- [j34]Andre Esteva, Anuprit Kale, Romain Paulus, Kazuma Hashimoto, Wenpeng Yin, Dragomir Radev, Richard Socher:
COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization. npj Digit. Medicine 4 (2021) - [j33]Alexander R. Fabbri, Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher, Dragomir R. Radev:
SummEval: Re-evaluating Summarization Evaluation. Trans. Assoc. Comput. Linguistics 9: 391-409 (2021) - [c134]Irene Li, Vanessa Yan, Tianxiao Li, Rihao Qu, Dragomir R. Radev:
Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders. ACL/IJCNLP (2) 2021: 1005-1011 - [c133]Wenpeng Yin, Dragomir R. Radev, Caiming Xiong:
DocNLI: A Large-scale Dataset for Document-level Natural Language Inference. ACL/IJCNLP (Findings) 2021: 4913-4922 - [c132]Alexander R. Fabbri, Faiaz Rahman, Imad Rizvi, Borui Wang, Haoran Li, Yashar Mehdad, Dragomir R. Radev:
ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining. ACL/IJCNLP (1) 2021: 6866-6880 - [c131]Ansong Ni, Zhangir Azerbayev, Mutethia Mutuma, Troy Feng, Yusen Zhang, Tao Yu, Ahmed Hassan Awadallah, Dragomir R. Radev:
SummerTime: Text Summarization Toolkit for Non-experts. EMNLP (Demos) 2021: 329-338 - [c130]Yusen Zhang, Ansong Ni, Tao Yu, Rui Zhang, Chenguang Zhu, Budhaditya Deb, Asli Celikyilmaz, Ahmed Hassan Awadallah, Dragomir R. Radev:
An Exploratory Study on Long Dialogue Summarization: What Works and What's Next. EMNLP (Findings) 2021: 4426-4433 - [c129]Tao Yu, Chien-Sheng Wu, Xi Victoria Lin, Bailin Wang, Yi Chern Tan, Xinyi Yang, Dragomir R. Radev, Richard Socher, Caiming Xiong:
GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing. ICLR 2021 - [c128]Linyong Nan, Dragomir R. Radev, Rui Zhang, Amrit Rau, Abhinand Sivaprasad, Chiachun Hsieh, Xiangru Tang, Aadit Vyas, Neha Verma, Pranav Krishna, Yangxiaokang Liu, Nadia Irwanto, Jessica Pan, Faiaz Rahman, Ahmad Zaidi, Mutethia Mutuma, Yasin Tarabar, Ankit Gupta, Tao Yu, Yi Chern Tan, Xi Victoria Lin, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani:
DART: Open-Domain Structured Data Record to Text Generation. NAACL-HLT 2021: 432-447 - [c127]Alexander R. Fabbri, Simeng Han, Haoyuan Li, Haoran Li, Marjan Ghazvininejad, Shafiq R. Joty, Dragomir R. Radev, Yashar Mehdad:
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation. NAACL-HLT 2021: 704-717 - [c126]Ming Zhong, Da Yin, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Hassan Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, Dragomir R. Radev:
QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization. NAACL-HLT 2021: 5905-5921 - [c125]Irene Li, Prithviraj Sen, Huaiyu Zhu, Yunyao Li, Dragomir R. Radev:
Improving Cross-lingual Text Classification with Zero-shot Instance-Weighting. RepL4NLP@ACL-IJCNLP 2021: 1-7 - [i64]Linyong Nan, Chiachun Hsieh, Ziming Mao, Xi Victoria Lin, Neha Verma, Rui Zhang, Wojciech Kryscinski, Nick Schoelkopf, Riley Kong, Xiangru Tang, Murori Mutuma, Ben Rosand, Isabel Trindade, Renusree Bandaru, Jacob Cunningham, Caiming Xiong, Dragomir R. Radev:
FeTaQA: Free-form Table Question Answering. CoRR abs/2104.00369 (2021) - [i63]Ming Zhong, Da Yin, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Hassan Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, Dragomir R. Radev:
QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization. CoRR abs/2104.05938 (2021) - [i62]Irene Li, Vanessa Yan, Tianxiao Li, Rihao Qu, Dragomir R. Radev:
Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders. CoRR abs/2105.03505 (2021) - [i61]Wojciech Kryscinski, Nazneen Fatema Rajani, Divyansh Agarwal, Caiming Xiong, Dragomir R. Radev:
BookSum: A Collection of Datasets for Long-form Narrative Summarization. CoRR abs/2105.08209 (2021) - [i60]Alexander R. Fabbri, Faiaz Rahman, Imad Rizvi, Borui Wang, Haoran Li, Yashar Mehdad, Dragomir R. Radev:
ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining. CoRR abs/2106.00829 (2021) - [i59]Wenpeng Yin, Dragomir R. Radev, Caiming Xiong:
DocNLI: A Large-scale Dataset for Document-level Natural Language Inference. CoRR abs/2106.09449 (2021) - [i58]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 R. Radev:
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review. CoRR abs/2107.02975 (2021) - [i57]Ansong Ni, Zhangir Azerbayev, Mutethia Mutuma, Troy Feng, Yusen Zhang, Tao Yu, Ahmed Hassan Awadallah, Dragomir R. Radev:
SummerTime: Text Summarization Toolkit for Non-experts. CoRR abs/2108.12738 (2021) - [i56]Yusen Zhang, Ansong Ni, Tao Yu, Rui Zhang, Chenguang Zhu, Budhaditya Deb, Asli Celikyilmaz, Ahmed Hassan Awadallah, Dragomir R. Radev:
An Exploratory Study on Long Dialogue Summarization: What Works and What's Next. CoRR abs/2109.04609 (2021) - [i55]Irene Li, Vanessa Yan, Dragomir R. Radev:
Efficient Variational Graph Autoencoders for Unsupervised Cross-domain Prerequisite Chains. CoRR abs/2109.08722 (2021) - [i54]Xiangru Tang, Alexander R. Fabbri, Ziming Mao, Griffin Adams, Borui Wang, Haoran Li, Yashar Mehdad, Dragomir R. Radev:
Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries. CoRR abs/2109.09195 (2021) - [i53]Fang Wu, Qiang Zhang, Dragomir R. Radev, Jiyu Cui, Wen Zhang, Huabin Xing, Ningyu Zhang, Huajun Chen:
3D-Transformer: Molecular Representation with Transformer in 3D Space. CoRR abs/2110.01191 (2021) - [i52]Ziming Mao, Chen Henry Wu, Ansong Ni, Yusen Zhang, Rui Zhang, Tao Yu, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir R. Radev:
DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization. CoRR abs/2110.08168 (2021) - [i51]Yusen Zhang, Ansong Ni, Ziming Mao, Chen Henry Wu, Chenguang Zhu, Budhaditya Deb, Ahmed Hassan Awadallah, Dragomir R. Radev, Rui Zhang:
Summ^N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents. CoRR abs/2110.10150 (2021) - [i50]Irene Li, Alexander R. Fabbri, Rina Kawamura, Yixin Liu, Xiangru Tang, Jaesung Tae, Chang Shen, Sally Ma, Tomoe Mizutani, Dragomir R. Radev:
Surfer100: Generating Surveys From Web Resources on Wikipedia-style. CoRR abs/2112.06377 (2021) - [i49]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:
CLICKER: A Computational LInguistics Classification Scheme for Educational Resources. CoRR abs/2112.08578 (2021) - [i48]Xiangru Tang, Arjun Nair, Borui Wang, Bingyao Wang, Jai Desai, Aaron Wade, Haoran Li, Asli Celikyilmaz, Yashar Mehdad, Dragomir R. Radev:
CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning. CoRR abs/2112.08713 (2021) - 2020
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