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- affiliation: University of Illinois Urbana-Champaign, IL, USA
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2020 – today
- 2023
[c383]Hossein Rajaby Faghihi, Aliakbar Nafar, Chen Zheng, Roshanak Mirzaee, Yue Zhang, Andrzej Uszok, Alexander Wan, Tanawan Premsri, Dan Roth, Parisa Kordjamshidi:
GLUECons: A Generic Benchmark for Learning under Constraints. AAAI 2023: 9552-9561- [c382]Yahan Yang, Soham Dan, Dan Roth, Insup Lee:
In and Out-of-Domain Text Adversarial Robustness via Label Smoothing. ACL (2) 2023: 657-669 - [c381]Xingyu Fu, Sheng Zhang, Gukyeong Kwon, Pramuditha Perera, Henghui Zhu, Yuhao Zhang, Alexander Hanbo Li, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Dan Roth, Bing Xiang:
Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge. ACL (Findings) 2023: 2333-2346 - [c380]Rujun Han, Peng Qi, Yuhao Zhang, Lan Liu, Juliette Burger, William Yang Wang, Zhiheng Huang, Bing Xiang, Dan Roth:
RobustQA: Benchmarking the Robustness of Domain Adaptation for Open-Domain Question Answering. ACL (Findings) 2023: 4294-4311 - [c379]Sihao Chen, Senaka Buthpitiya, Alex Fabrikant, Dan Roth, Tal Schuster:
PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition. ACL (Findings) 2023: 8874-8893 - [c378]Tyler A. Chang, Kishaloy Halder, Neha Anna John, Yogarshi Vyas, Yassine Benajiba, Miguel Ballesteros, Dan Roth:
Characterizing and Measuring Linguistic Dataset Drift. ACL (1) 2023: 8953-8967 - [c377]Hritik Bansal, Karthik Gopalakrishnan, Saket Dingliwal, Sravan Bodapati, Katrin Kirchhoff, Dan Roth:
Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale. ACL (1) 2023: 11833-11856 - [c376]Yu Feng, Ben Zhou, Haoyu Wang, Helen Jin, Dan Roth:
Generic Temporal Reasoning with Differential Analysis and Explanation. ACL (1) 2023: 12013-12029 - [c375]Shiqi Wang, Zheng Li, Haifeng Qian, Chenghao Yang, Zijian Wang, Mingyue Shang, Varun Kumar, Samson Tan, Baishakhi Ray, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Dan Roth, Bing Xiang:
ReCode: Robustness Evaluation of Code Generation Models. ACL (1) 2023: 13818-13843 - [c374]Alexander Hanbo Li, Mingyue Shang, Evangelia Spiliopoulou, Jie Ma, Patrick Ng, Zhiguo Wang, Bonan Min, William Yang Wang, Kathleen R. McKeown, Vittorio Castelli, Dan Roth, Bing Xiang:
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning. ACL (1) 2023: 16171-16189 - [c373]Wenpeng Yin, Muhao Chen, Ben Zhou, Qiang Ning, Kai-Wei Chang, Dan Roth:
Indirectly Supervised Natural Language Processing. ACL (tutorial) 2023: 32-40 - [c372]Hongming Zhang, Yintong Huo, Yanai Elazar, Yangqiu Song, Yoav Goldberg, Dan Roth:
CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm. EACL (Findings) 2023: 114-124 - [c371]Haoyu Wang, Hongming Zhang, Yuqian Deng, Jacob R. Gardner, Dan Roth, Muhao Chen:
Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction. EACL 2023: 541-553 - [c370]Daniel Deutsch, Dan Roth:
Incorporating Question Answering-Based Signals into Abstractive Summarization via Salient Span Selection. EACL 2023: 575-588 - [c369]Rotem Dror, Haoyu Wang, Dan Roth:
Zero-Shot On-the-Fly Event Schema Induction. EACL (Findings) 2023: 693-713 - [c368]Xiaodong Yu, Wenpeng Yin, Nitish Gupta, Dan Roth:
Event Linking: Grounding Event Mentions to Wikipedia. EACL 2023: 2671-2680 - [c367]Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henghui Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, Zhiheng Huang, William Yang Wang, George Karypis, Bing Xiang, Dan Roth:
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. ICLR 2023 - [c366]Kaifu Wang, Hangfeng He, Tin D. Nguyen, Piyush Kumar, Dan Roth:
On Regularization and Inference with Label Constraints. ICML 2023: 35740-35762 - [c365]Iker García-Ferrero, Jon Ander Campos, Oscar Sainz, Ander Salaberria, Dan Roth:
IXA/Cogcomp at SemEval-2023 Task 2: Context-enriched Multilingual Named Entity Recognition Using Knowledge Bases. SemEval@ACL 2023: 1335-1346 - [c364]Siddharth Varia, Shuai Wang, Kishaloy Halder, Robert Vacareanu, Miguel Ballesteros, Yassine Benajiba, Neha Anna John, Rishita Anubhai, Smaranda Muresan, Dan Roth:
Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis. WASSA@ACL 2023: 19-27 - [i174]Hangfeng He, Hongming Zhang, Dan Roth:
Rethinking with Retrieval: Faithful Large Language Model Inference. CoRR abs/2301.00303 (2023) - [i173]Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henry Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, William Yang Wang, Zhiheng Huang, George Karypis, Bing Xiang, Dan Roth:
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. CoRR abs/2302.06729 (2023) - [i172]Shamik Roy, Raphael Shu, Nikolaos Pappas, Elman Mansimov, Yi Zhang, Saab Mansour, Dan Roth:
Conversation Style Transfer using Few-Shot Learning. CoRR abs/2302.08362 (2023) - [i171]Hossein Rajaby Faghihi, Aliakbar Nafar, Chen Zheng, Roshanak Mirzaee, Yue Zhang, Andrzej Uszok, Alexander Wan, Tanawan Premsri, Dan Roth, Parisa Kordjamshidi:
GLUECons: A Generic Benchmark for Learning Under Constraints. CoRR abs/2302.10914 (2023) - [i170]Sihao Chen, William Bruno, Dan Roth:
Towards Corpus-Scale Discovery of Selection Biases in News Coverage: Comparing What Sources Say About Entities as a Start. CoRR abs/2304.03414 (2023) - [i169]Iker García-Ferrero, Jon Ander Campos, Oscar Sainz, Ander Salaberria, Dan Roth:
IXA/Cogcomp at SemEval-2023 Task 2: Context-enriched Multilingual Named Entity Recognition using Knowledge Bases. CoRR abs/2304.10637 (2023) - [i168]Sharon Levy, Neha Anna John, Ling Liu, Yogarshi Vyas, Jie Ma, Yoshinari Fujinuma, Miguel Ballesteros, Vittorio Castelli, Dan Roth:
Comparing Biases and the Impact of Multilingual Training across Multiple Languages. CoRR abs/2305.11242 (2023) - [i167]Siyi Liu, Hongming Zhang, Hongwei Wang, Kaiqiang Song, Dan Roth, Dong Yu:
Open-Domain Event Graph Induction for Mitigating Framing Bias. CoRR abs/2305.12835 (2023) - [i166]Karthikeyan K, Yogarshi Vyas, Jie Ma, Giovanni Paolini, Neha Anna John, Shuai Wang, Yassine Benajiba, Vittorio Castelli, Dan Roth, Miguel Ballesteros:
Taxonomy Expansion for Named Entity Recognition. CoRR abs/2305.13191 (2023) - [i165]Xingyu Fu, Ben Zhou, Sihao Chen, Mark Yatskar, Dan Roth:
Interpretable by Design Visual Question Answering. CoRR abs/2305.14882 (2023) - [i164]Tyler A. Chang, Kishaloy Halder, Neha Anna John, Yogarshi Vyas, Yassine Benajiba, Miguel Ballesteros, Dan Roth:
Characterizing and Measuring Linguistic Dataset Drift. CoRR abs/2305.17127 (2023) - [i163]Xingyu Fu, Sheng Zhang, Gukyeong Kwon, Pramuditha Perera, Henghui Zhu, Yuhao Zhang, Alexander Hanbo Li, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Dan Roth, Bing Xiang:
Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge. CoRR abs/2305.18842 (2023) - [i162]Hantian Ding, Varun Kumar, Yuchen Tian, Zijian Wang, Rob Kwiatkowski, Xiaopeng Li, Murali Krishna Ramanathan, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang:
A Static Evaluation of Code Completion by Large Language Models. CoRR abs/2306.03203 (2023) - [i161]Kaifu Wang, Efi Tsamoura, Dan Roth:
On Learning Latent Models with Multi-Instance Weak Supervision. CoRR abs/2306.13796 (2023) - [i160]Alyssa Hwang, Bryan Li, Zhaoyi Hou, Dan Roth:
Large Language Models as Sous Chefs: Revising Recipes with GPT-3. CoRR abs/2306.13986 (2023) - [i159]Hantian Ding, Jinrui Yang, Yuqian Deng, Hongming Zhang, Dan Roth:
Towards Open-Domain Topic Classification. CoRR abs/2306.17290 (2023) - [i158]Vivek Srikumar, Dan Roth:
The Integer Linear Programming Inference Cookbook. CoRR abs/2307.00171 (2023) - [i157]Kaifu Wang, Hangfeng He, Tin D. Nguyen, Piyush Kumar, Dan Roth:
On Regularization and Inference with Label Constraints. CoRR abs/2307.03886 (2023) - [i156]Xiaodong Yu, Ben Zhou, Dan Roth:
Building Interpretable and Reliable Open Information Retriever for New Domains Overnight. CoRR abs/2308.04756 (2023) - [i155]Alexander Hanbo Li, Mingyue Shang, Evangelia Spiliopoulou, Jie Ma, Patrick Ng, Zhiguo Wang, Bonan Min, William Wang, Kathleen R. McKeown, Vittorio Castelli, Dan Roth, Bing Xiang:
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning. CoRR abs/2308.05317 (2023) - [i154]Chaitanya Malaviya, Subin Lee, Sihao Chen, Elizabeth Sieber, Mark Yatskar, Dan Roth:
ExpertQA: Expert-Curated Questions and Attributed Answers. CoRR abs/2309.07852 (2023) - 2022
- [j60]Parisa Kordjamshidi, Dan Roth, Kristian Kersting:
Declarative Learning-Based Programming as an Interface to AI Systems. Frontiers Artif. Intell. 5: 755361 (2022) - [j59]Kevin Xie
, Ryan S. Gallagher, Erin C. Conrad, Chadric O. Garrick, Steven Baldassano, John M. Bernabei, Peter D. Galer, Nina J. Ghosn, Adam S. Greenblatt, Tara Jennings, Alana Kornspun, Catherine V. Kulick-Soper, Jal M. Panchal, Akash R. Pattnaik, Brittany Scheid, Danmeng Wei, Micah Weitzman, Ramya Muthukrishnan, Joongwon Kim, Brian Litt, Colin A. Ellis, Dan Roth:
Extracting seizure frequency from epilepsy clinic notes: a machine reading approach to natural language processing. J. Am. Medical Informatics Assoc. 29(5): 873-881 (2022) - [c363]Zheng Li, Zijian Wang, Ming Tan, Ramesh Nallapati, Parminder Bhatia, Andrew O. Arnold, Bing Xiang, Dan Roth:
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization. ACL (2) 2022: 203-211 - [c362]Xingyu Fu, Ben Zhou, Ishaan Preetam Chandratreya, Carl Vondrick, Dan Roth:
There's a Time and Place for Reasoning Beyond the Image. ACL (1) 2022: 1138-1149 - [c361]Jie Ma, Miguel Ballesteros, Srikanth Doss, Rishita Anubhai, Sunil Mallya, Yaser Al-Onaizan, Dan Roth:
Label Semantics for Few Shot Named Entity Recognition. ACL (Findings) 2022: 1956-1971 - [c360]Daniel Deutsch, Dan Roth:
Benchmarking Answer Verification Methods for Question Answering-Based Summarization Evaluation Metrics. ACL (Findings) 2022: 3759-3765 - [c359]Aaron Mueller, Jason Krone, Salvatore Romeo, Saab Mansour, Elman Mansimov, Yi Zhang, Dan Roth:
Label Semantic Aware Pre-training for Few-shot Text Classification. ACL (1) 2022: 8318-8334 - [c358]Kevin Xie, Brian Litt, Dan Roth, Colin A. Ellis:
Quantifying Clinical Outcome Measures in Patients with Epilepsy Using the Electronic Health Record. BioNLP@ACL 2022: 369-375 - [c357]Georgios Georgakis, Karl Schmeckpeper, Karan Wanchoo, Soham Dan, Eleni Miltsakaki, Dan Roth, Kostas Daniilidis:
Cross-modal Map Learning for Vision and Language Navigation. CVPR 2022: 15439-15449 - [c356]Ben Zhou, Kyle Richardson, Xiaodong Yu, Dan Roth:
Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts. EMNLP 2022: 2223-2235 - [c355]William Bruno, Dan Roth:
LawngNLI: A Long-Premise Benchmark for In-Domain Generalization from Short to Long Contexts and for Implication-Based Retrieval. EMNLP (Findings) 2022: 5019-5043 - [c354]Daniel Deutsch, Rotem Dror, Dan Roth:
On the Limitations of Reference-Free Evaluations of Generated Text. EMNLP 2022: 10960-10977 - [c353]Shuxiao Chen, Koby Crammer, Hangfeng He, Dan Roth, Weijie J. Su:
Weighted Training for Cross-Task Learning. ICLR 2022 - [c352]Uri Alon, Frank F. Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig:
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval. ICML 2022: 468-485 - [c351]Soham Dan, Osbert Bastani, Dan Roth:
Understanding Robust Generalization in Learning Regular Languages. ICML 2022: 4630-4643 - [c350]Jiayao Zhang, Hongming Zhang, Weijie J. Su, Dan Roth:
ROCK: Causal Inference Principles for Reasoning about Commonsense Causality. ICML 2022: 26750-26771 - [c349]Kasturi Bhattacharjee, Rashmi Gangadharaiah, Kathleen R. McKeown, Dan Roth:
What Do Users Care About? Detecting Actionable Insights from User Feedback. NAACL-HLT (Industry Papers) 2022: 239-246 - [c348]Ritam Dutt, Kasturi Bhattacharjee, Rashmi Gangadharaiah, Dan Roth, Carolyn P. Rosé:
PerKGQA: Question Answering over Personalized Knowledge Graphs. NAACL-HLT (Findings) 2022: 253-268 - [c347]Sihao Chen, Siyi Liu, Xander Uyttendaele, Yi Zhang, William Bruno, Dan Roth:
Design Challenges for a Multi-Perspective Search Engine. NAACL-HLT (Findings) 2022: 293-303 - [c346]Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Rui Dong, Xiaokai Wei, Henghui Zhu, Xinchi Chen, Peng Xu, Zhiheng Huang, Andrew O. Arnold, Dan Roth:
Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner. NAACL-HLT (Findings) 2022: 465-475 - [c345]Elior Sulem, Jamaal Hay, Dan Roth:
Yes, No or IDK: The Challenge of Unanswerable Yes/No Questions. NAACL-HLT 2022: 1075-1085 - [c344]Daniel Deutsch, Rotem Dror, Dan Roth:
Re-Examining System-Level Correlations of Automatic Summarization Evaluation Metrics. NAACL-HLT 2022: 6038-6052 - [c343]Xiaodong Yu, Wenpeng Yin, Dan Roth:
Pairwise Representation Learning for Event Coreference. *SEM@NAACL-HLT 2022: 69-78 - [c342]Zheng Qi, Elior Sulem, Haoyu Wang, Xiaodong Yu, Dan Roth:
Capturing the Content of a Document through Complex Event Identification. *SEM@NAACL-HLT 2022: 331-340 - [i153]Uri Alon, Frank F. Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig:
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval. CoRR abs/2201.12431 (2022) - [i152]Jiayao Zhang, Hongming Zhang, Dan Roth, Weijie J. Su:
Causal Inference Principles for Reasoning about Commonsense Causality. CoRR abs/2202.00436 (2022) - [i151]Soham Dan, Osbert Bastani, Dan Roth:
Understanding Robust Generalization in Learning Regular Languages. CoRR abs/2202.09717 (2022) - [i150]Xingyu Fu, Ben Zhou, Ishaan Preetam Chandratreya, Carl Vondrick, Dan Roth:
There is a Time and Place for Reasoning Beyond the Image. CoRR abs/2203.00758 (2022) - [i149]Georgios Georgakis, Karl Schmeckpeper, Karan Wanchoo, Soham Dan, Eleni Miltsakaki, Dan Roth, Kostas Daniilidis:
Cross-modal Map Learning for Vision and Language Navigation. CoRR abs/2203.05137 (2022) - [i148]Jie Ma, Miguel Ballesteros, Srikanth Doss, Rishita Anubhai, Sunil Mallya, Yaser Al-Onaizan, Dan Roth:
Label Semantics for Few Shot Named Entity Recognition. CoRR abs/2203.08985 (2022) - [i147]Zheng Li, Zijian Wang, Ming Tan, Ramesh Nallapati, Parminder Bhatia, Andrew O. Arnold, Bing Xiang, Dan Roth:
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization. CoRR abs/2203.11239 (2022) - [i146]Aaron Mueller, Jason Krone, Salvatore Romeo, Saab Mansour, Elman Mansimov, Yi Zhang, Dan Roth:
Label Semantic Aware Pre-training for Few-shot Text Classification. CoRR abs/2204.07128 (2022) - [i145]Daniel Deutsch, Dan Roth:
Benchmarking Answer Verification Methods for Question Answering-Based Summarization Evaluation Metrics. CoRR abs/2204.10206 (2022) - [i144]Daniel Deutsch, Rotem Dror, Dan Roth:
Re-Examining System-Level Correlations of Automatic Summarization Evaluation Metrics. CoRR abs/2204.10216 (2022) - [i143]Daniel Deutsch, Dan Roth:
Repro: An Open-Source Library for Improving the Reproducibility and Usability of Publicly Available Research Code. CoRR abs/2204.13848 (2022) - [i142]Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Rui Dong, Xiaokai Wei, Henry Zhu, Xinchi Chen, Zhiheng Huang, Peng Xu, Andrew O. Arnold, Dan Roth:
Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner. CoRR abs/2205.09224 (2022) - [i141]Harsha Kokel, Mayukh Das, Md Rakibul Islam, Julia Bonn, Jon Z. Cai, Soham Dan, Anjali Narayan-Chen, Prashant Jayannavar, Janardhan Rao Doppa, Julia Hockenmaier, Sriraam Natarajan, Martha Palmer, Dan Roth:
Human-guided Collaborative Problem Solving: A Natural Language based Framework. CoRR abs/2207.09566 (2022) - [i140]Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah, Dan Roth:
Unsupervised Neural Stylistic Text Generation using Transfer learning and Adapters. CoRR abs/2210.03264 (2022) - [i139]Hongming Zhang, Yueguan Wang, Yuqian Deng, Haoyu Wang, Muhao Chen, Dan Roth:
Are All Steps Equally Important? Benchmarking Essentiality Detection of Events. CoRR abs/2210.04074 (2022) - [i138]Haoyu Wang, Hongming Zhang, Yuqian Deng, Jacob R. Gardner, Dan Roth, Muhao Chen:
Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction. CoRR abs/2210.04992 (2022) - [i137]Ben Zhou, Dian Yu, Dong Yu, Dan Roth:
Cross-Lingual Speaker Identification Using Distant Supervision. CoRR abs/2210.05780 (2022) - [i136]Hongming Zhang, Yintong Huo, Yanai Elazar, Yangqiu Song, Yoav Goldberg, Dan Roth:
CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm. CoRR abs/2210.06246 (2022) - [i135]Rotem Dror, Haoyu Wang, Dan Roth:
Zero-Shot On-the-Fly Event Schema Induction. CoRR abs/2210.06254 (2022) - [i134]Siddharth Varia, Shuai Wang, Kishaloy Halder, Robert Vacareanu, Miguel Ballesteros, Yassine Benajiba, Neha Anna John, Rishita Anubhai, Smaranda Muresan, Dan Roth:
Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis. CoRR abs/2210.06629 (2022) - [i133]Daniel Deutsch, Rotem Dror, Dan Roth:
On the Limitations of Reference-Free Evaluations of Generated Text. CoRR abs/2210.12563 (2022) - [i132]Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang:
Multi-lingual Evaluation of Code Generation Models. CoRR abs/2210.14868 (2022) - [i131]Ben Zhou, Kyle Richardson, Xiaodong Yu, Dan Roth:
Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts. CoRR abs/2210.16865 (2022) - [i130]Jiayao Zhang, Hongming Zhang, Zhun Deng, Dan Roth:
Investigating Fairness Disparities in Peer Review: A Language Model Enhanced Approach. CoRR abs/2211.06398 (2022) - [i129]William Bruno, Dan Roth:
LawngNLI: A Long-Premise Benchmark for In-Domain Generalization from Short to Long Contexts and for Implication-Based Retrieval. CoRR abs/2212.03222 (2022) - [i128]Hritik Bansal, Karthik Gopalakrishnan, Saket Dingliwal, Sravan Bodapati, Katrin Kirchhoff, Dan Roth:
Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale. CoRR abs/2212.09095 (2022) - [i127]Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah, Dan Roth:
Privacy Adhering Machine Un-learning in NLP. CoRR abs/2212.09573 (2022) - [i126]Raphael Shu, Elman Mansimov, Tamer Alkhouli, Nikolaos Pappas, Salvatore Romeo, Arshit Gupta, Saab Mansour, Yi Zhang, Dan Roth:
Dialog2API: Task-Oriented Dialogue with API Description and Example Programs. CoRR abs/2212.09946 (2022) - [i125]Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang:
CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context. CoRR abs/2212.10007 (2022) - [i124]Yahan Yang, Soham Dan, Dan Roth, Insup Lee:
In and Out-of-Domain Text Adversarial Robustness via Label Smoothing. CoRR abs/2212.10258 (2022) - [i123]Shiqi Wang, Zheng Li, Haifeng Qian, Chenghao Yang, Zijian Wang, Mingyue Shang, Varun Kumar, Samson Tan, Baishakhi Ray, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Dan Roth, Bing Xiang:
ReCode: Robustness Evaluation of Code Generation Models. CoRR abs/2212.10264 (2022) - [i122]Yu Feng, Ben Zhou, Haoyu Wang, Helen Jin, Dan Roth:
Generic Temporal Reasoning with Differential Analysis and Explanation. CoRR abs/2212.10467 (2022) - [i121]Sihao Chen, Senaka Buthpitiya, Alex Fabrikant, Dan Roth, Tal Schuster:
PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition. CoRR abs/2212.10750 (2022) - 2021
- [j58]Mor Geva, Daniel Khashabi, Elad Segal, Tushar Khot, Dan Roth, Jonathan Berant:
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies. Trans. Assoc. Comput. Linguistics 9: 346-361 (2021) - [j57]Daniel Deutsch, Tania Bedrax-Weiss, Dan Roth:
Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary. Trans. Assoc. Comput. Linguistics 9: 774-789 (2021) - [j56]Daniel Deutsch, Rotem Dror, Dan Roth:
A Statistical Analysis of Summarization Evaluation Metrics Using Resampling Methods. Trans. Assoc. Comput. Linguistics 9: 1132-1146 (2021) - [c341]Fangyu Liu, Muhao Chen, Dan Roth, Nigel Collier:
Visual Pivoting for (Unsupervised) Entity Alignment. AAAI 2021: 4257-4266 - [c340]Qing Lyu, Hongming Zhang, Elior Sulem, Dan Roth:
Zero-shot Event Extraction via Transfer Learning: Challenges and Insights. ACL/IJCNLP (2) 2021: 322-332 - [c339]Hongming Zhang, Haoyu Wang, Dan Roth:
Zero-shot Label-Aware Event Trigger and Argument Classification. ACL/IJCNLP (Findings) 2021: 1331-1340 - [c338]Ruohao Guo, Dan Roth:
Constrained Labeled Data Generation for Low-Resource Named Entity Recognition. ACL/IJCNLP (Findings) 2021: 4519-4533 - [c337]Mingzhu Wu, Nafise Sadat Moosavi, Dan Roth, Iryna Gurevych:
Coreference Reasoning in Machine Reading Comprehension. ACL/IJCNLP (1) 2021: 5768-5781 - [c336]Yi Zhang, Zachary G. Ives, Dan Roth:
What is Your Article Based On? Inferring Fine-grained Provenance. ACL/IJCNLP (1) 2021: 5894-5903 - [c335]Daniel Deutsch, Dan Roth:
Understanding the Extent to which Content Quality Metrics Measure the Information Quality of Summaries. CoNLL 2021: 300-309 - [c334]Philip A. Huebner, Elior Sulem, Cynthia Fisher, Dan Roth:
BabyBERTa: Learning More Grammar With Small-Scale Child-Directed Language. CoNLL 2021: 624-646 - [c333]Hongming Zhang, Yintong Huo, Xinran Zhao, Yangqiu Song, Dan Roth:
Learning Contextual Causality Between Daily Events From Time-Consecutive Images. CVPR Workshops 2021: 1752-1755 - [c332]Muhao Chen, Weijia Shi, Ben Zhou, Dan Roth:
Cross-lingual Entity Alignment with Incidental Supervision. EACL 2021: 645-658 - [c331]Alla Rozovskaya, Dan Roth:
How Good (really) are Grammatical Error Correction Systems? EACL 2021: 2686-2698 - [c330]Hangfeng He, Mingyuan Zhang, Qiang Ning, Dan Roth:
Foreseeing the Benefits of Incidental Supervision. EMNLP (1) 2021: 1782-1800 - [c329]