| 2024 | ACL | Automatic Bug Detection in LLM-Powered Text-Based Games Using LLMs. | Claire Jin, Sudha Rao, Xiangyu Peng, Portia Botchway, Jessica Quaye, Chris Brockett, Bill Dolan |
| 2024 | EACL | Investigating Agency of LLMs in Human-AI Collaboration Tasks. | Ashish Sharma, Sudha Rao, Chris Brockett, Akanksha Malhotra, Nebojsa Jojic, Bill Dolan |
| 2022 | EMNLP | Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation. | Faeze Brahman, Baolin Peng, Michel Galley, Sudha Rao, Bill Dolan, Snigdha Chaturvedi, Jianfeng Gao |
| 2021 | EACL | Contrastive Multi-document Question Generation. | Woon Sang Cho, Yizhe Zhang, Sudha Rao, Asli Celikyilmaz, Chenyan Xiong, Jianfeng Gao, Mengdi Wang, Bill Dolan |
| 2021 | NAACL | Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization. | Yichen Jiang, Asli Celikyilmaz, Paul Smolensky, Paul Soulos, Sudha Rao, Hamid Palangi, Roland Fernandez, Caitlin Smith, Mohit Bansal, Jianfeng Gao |
| 2021 | NAACL | Ask what's missing and what's useful: Improving Clarification Question Generation using Global Knowledge. | Bodhisattwa Prasad Majumder, Sudha Rao, Michel Galley, Julian J. McAuley |
| 2021 | NAACL | GPT Perdetry Test: Generating new meanings for new words. | Nikolay Malkin, Sameera Lanka, Pranav Goel, Sudha Rao, Nebojsa Jojic |
| 2020 | ACL | A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks. | Angela S. Lin, Sudha Rao, Asli Celikyilmaz, Elnaz Nouri, Chris Brockett, Debadeepta Dey, Bill Dolan |
| 2020 | CVPR | Quality and Relevance Metrics for Selection of Multimodal Pretraining Data. | Roshan Rao, Sudha Rao, Elnaz Nouri, Debadeepta Dey, Asli Celikyilmaz, Bill Dolan |
| 2020 | EMNLP | Substance over Style: Document-Level Targeted Content Transfer. | Allison Hegel, Sudha Rao, Asli Celikyilmaz, Bill Dolan |
| 2019 | EMNLP | Generating a Common Question from Multiple Documents using Multi-source Encoder-Decoder Models. | Woon Sang Cho, Yizhe Zhang, Sudha Rao, Chris Brockett, Sungjin Lee |
| 2019 | EMNLP | Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts. | Elissa M. Redmiles, Lisa N. Maszkiewicz, Emily Hwang, Dhruv Kuchhal, Everest Liu, Miraida Morales, Denis Peskov, Sudha Rao, Rock Stevens, Kristina Gligoric, Sean Kross, Michelle L. Mazurek, Hal Daum III |
| 2019 | NAACL | Answer-based Adversarial Training for Generating Clarification Questions. | Sudha Rao, Hal Daum III |
| 2018 | ACL | Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information. | Sudha Rao, Hal Daum III |
| 2018 | COLING | Multi-Task Neural Models for Translating Between Styles Within and Across Languages. | Xing Niu, Sudha Rao, Marine Carpuat |
| 2018 | NAACL | Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer. | Sudha Rao, Joel R. Tetreault |
| 2017 | ACL | Are You Asking the Right Questions? Teaching Machines to Ask Clarification Questions. | Sudha Rao |
| 2015 | NAACL | Hands-on Learning to Search for Structured Prediction. | Hal Daum III, John Langford, Kai-Wei Chang, He He, Sudha Rao |
| 2015 | NAACL | Dialogue focus tracking for zero pronoun resolution. | Sudha Rao, Allyson Ettinger, Hal Daum III, Philip Resnik |