Dragomir Radev

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 71

Top Topics

Code Generation

Semantic Parser

Top Venues

EMNLP (Findings)

Publications

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
Fair Abstractive Summarization of Diverse Perspectives. NAACL-HLT (2024)
Nathan A. Chi, Teodor Malchev, Riley Kong, Ryan Chi, Lucas Huang, Ethan A. Chi, R. Thomas McCoy, Dragomir Radev
ModeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models. SIGTYPE (2024)
Yixin Liu, Kejian Shi, Katherine He, Longtian Ye, Alexander R. Fabbri, Pengfei Liu, Dragomir Radev, Arman Cohan
On Learning to Summarize with Large Language Models as References. NAACL-HLT (2024)
Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Dragomir Radev, Yejin Choi, Noah A. Smith
A Call for Clarity in Beam Search: How It Works and When It Stops. LREC/COLING (2024)
Nathan A. Chi, Teodor Malchev, Riley Kong, Ryan A. Chi, Lucas Huang, Ethan A. Chi, R. Thomas McCoy, Dragomir Radev
modeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models. CoRR (2024)
Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Dragomir Radev, Arman Cohan
On Learning to Summarize with Large Language Models as References. CoRR (2023)
Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Shafiq Joty, Yingbo Zhou
HPE: Answering Complex Questions over Text by Hybrid Question Parsing and Execution. EMNLP (Findings) (2023)
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)
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)
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 (2023)
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 (2023)
Irene Li, Aosong Feng, Dragomir Radev, Rex Ying
HiPool: Modeling Long Documents Using Graph Neural Networks. ACL (2) (2023)
Yilun Zhao, Zhenting Qi, Linyong Nan, Boyu Mi, Yixin Liu, Weijin Zou, Simeng Han, Ruizhe Chen, Xiangru Tang, Yumo Xu, Dragomir Radev, Arman Cohan
QTSumm: Query-Focused Summarization over Tabular Data. EMNLP (2023)
Irene Li, Aosong Feng, Dragomir Radev, Rex Ying
HiPool: Modeling Long Documents Using Graph Neural Networks. CoRR (2023)
Fang Wu, Dragomir Radev, Stan Z. Li
Molformer: Motif-Based Transformer on 3D Heterogeneous Molecular Graphs. AAAI (2023)
Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, Ronan Le Bras, Akari Asai, Xinyan Yu, Dragomir Radev, Noah A. Smith, Yejin Choi, Kentaro Inui
RealTime QA: What's the Answer Right Now? NeurIPS (2023)
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 (2023)
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)
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)
Jungo Kasai, Yuhei Kasai, Keisuke Sakaguchi, Yutaro Yamada, Dragomir Radev
Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations. CoRR (2023)
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)
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)
Zhangir Azerbayev, Bartosz Piotrowski, Hailey Schoelkopf, Edward W. Ayers, Dragomir Radev, Jeremy Avigad
ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics. CoRR (2023)
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)
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)
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)
Yixin Liu, Alexander R. Fabbri, Jiawen Chen, Yilun Zhao, Simeng Han, Shafiq Joty, Pengfei Liu, Dragomir Radev, Chien-Sheng Wu, Arman Cohan
Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization. CoRR (2023)
Yixin Liu, Alexander R. Fabbri, Yilun Zhao, Pengfei Liu, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev
Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation. EMNLP (2023)
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 (2023)
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)
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)
Linyong Nan, Yilun Zhao, Weijin Zou, Narutatsu Ri, Jaesung Tae, Ellen Zhang, Arman Cohan, Dragomir Radev
Enhancing Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies. EMNLP (Findings) (2023)
Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Yingbo Zhou
Answering Complex Questions over Text by Hybrid Question Parsing and Execution. CoRR (2023)
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)
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
L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models. CoRR (2023)
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 (2023)
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)
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 (2023)
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 (2023)
Yusen Zhang, Yang Liu, Ziyi Yang, Yuwei Fang, Yulong Chen, Dragomir Radev, Chenguang Zhu, Michael Zeng, Rui Zhang
MACSum: Controllable Summarization with Mixed Attributes. Trans. Assoc. Comput. Linguistics 11 (2023)
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)
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 (2023)
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
MedGen: A Python Natural Language Processing Toolkit for Medical Text Processing. CoRR (2023)
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
Fair Abstractive Summarization of Diverse Perspectives. CoRR (2023)
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 (2022)
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)
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 (2022)
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 (2022)
Yixin Liu, Budhaditya Deb, Milagro Teruel, Aaron Halfaker, Dragomir Radev, Ahmed Hassan Awadallah
On Improving Summarization Factual Consistency from Natural Language Feedback. CoRR (2022)
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 (2022)
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)
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 (2022)
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)
Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir Radev
Leveraging Locality in Abstractive Text Summarization. EMNLP (2022)
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 (2022)
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)
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)
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)
Fang Wu, Tao Yu, Dragomir Radev, Jinbo Xu
When Geometric Deep Learning Meets Pretrained Protein Language Models. CoRR (2022)
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 (2022)
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 (2022)
Yilun Zhao, Linyong Nan, Zhenting Qi, Rui Zhang, Dragomir Radev
ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples. CoRR (2022)
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 (2022)
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 (2022)
Yilun Zhao, Linyong Nan, Zhenting Qi, Rui Zhang, Dragomir Radev
ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples. EMNLP (2022)
Wojciech Kryscinski, Nazneen Rajani, Divyansh Agarwal, Caiming Xiong, Dragomir Radev
BOOKSUM: A Collection of Datasets for Long-form Narrative Summarization. EMNLP (Findings) (2022)
Zhangir Azerbayev, Ansong Ni, Hailey Schoelkopf, Dragomir Radev
Explicit Knowledge Transfer for Weakly-Supervised Code Generation. CoRR (2022)
Fang Wu, Qiang Zhang, Dragomir Radev, Jiyu Cui, Wen Zhang, Huabin Xing, Ningyu Zhang, Huajun Chen
3D-Transformer: Molecular Representation with Transformer in 3D Space. CoRR (2021)
Heather Lent, Semih Yavuz, Tao Yu, Tong Niu, Yingbo Zhou, Dragomir Radev, Xi Victoria Lin
Testing Cross-Database Semantic Parsers With Canonical Utterances. Eval4NLP (2021)
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)
Xiangru Tang, Arjun Nair, Borui Wang, Bingyao Wang, Jai Desai, Aaron Wade, Haoran Li, Asli Celikyilmaz, Yashar Mehdad, Dragomir Radev
CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning. CoRR (2021)