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Sudha Rao
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2020 – today
- 2024
- [c25]Claire Jin, Sudha Rao, Xiangyu Peng, Portia Botchway, Jessica Quaye, Chris Brockett, Bill Dolan:
Automatic Bug Detection in LLM-Powered Text-Based Games Using LLMs. ACL (Findings) 2024: 15353-15368 - [c24]Jorge Leandro, Sudha Rao, Michael Xu, Weijia Xu, Nebojsa Jojic, Chris Brockett, Bill Dolan:
GENEVA: GENErating and Visualizing branching narratives using LLMs. CoG 2024: 1-5 - [c23]Xiangyu Peng, Jessica Quaye, Sudha Rao, Weijia Xu, Portia Botchway, Chris Brockett, Nebojsa Jojic, Gabriel DesGarennes, Ken Lobb, Michael Xu, Jorge Leandro, Claire Jin, Bill Dolan:
Player-Driven Emergence in LLM-Driven Game Narrative. CoG 2024: 1-8 - [c22]Ashish Sharma, Sudha Rao, Chris Brockett
, Akanksha Malhotra, Nebojsa Jojic, Bill Dolan:
Investigating Agency of LLMs in Human-AI Collaboration Tasks. EACL (1) 2024: 1968-1987 - [i20]Xiangyu Peng, Jessica Quaye, Weijia Xu, Chris Brockett
Player-Driven Emergence in LLM-Driven Game Narrative. CoRR abs/2404.17027 (2024) - [i19]Claire Jin, Sudha Rao, Xiangyu Peng, Portia Botchway, Jessica Quaye, Chris Brockett
Automatic Bug Detection in LLM-Powered Text-Based Games Using LLMs. CoRR abs/2406.04482 (2024) - [i18]Sudha Rao, Weijia Xu, Michael Xu, Jorge Leandro, Ken Lobb, Gabriel DesGarennes, Chris Brockett, Bill Dolan:
Collaborative Quest Completion with LLM-driven Non-Player Characters in Minecraft. CoRR abs/2407.03460 (2024) - 2023
- [i17]Ashish Sharma, Sudha Rao, Chris Brockett
Towards Dialogue Systems with Agency in Human-AI Collaboration Tasks. CoRR abs/2305.12815 (2023) - [i16]Jorge Leandro, Sudha Rao, Michael Xu, Weijia Xu, Nebojsa Jojic, Chris Brockett
GRIM: GRaph-based Interactive narrative visualization for gaMes. CoRR abs/2311.09213 (2023) - 2022
- [c21]Faeze Brahman, Baolin Peng, Michel Galley, Sudha Rao, Bill Dolan, Snigdha Chaturvedi, Jianfeng Gao:
Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation. EMNLP (Findings) 2022: 7397-7413 - [i15]Paul Soulos, Sudha Rao, Caitlin Smith, Eric Rosen, Asli Celikyilmaz, R. Thomas McCoy, Yichen Jiang, Coleman Haley, Roland Fernandez, Hamid Palangi, Jianfeng Gao, Paul Smolensky:
Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages. CoRR abs/2208.06061 (2022) - [i14]Faeze Brahman, Baolin Peng, Michel Galley, Sudha Rao, Bill Dolan, Snigdha Chaturvedi, Jianfeng Gao:
Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation. CoRR abs/2212.01956 (2022) - 2021
- [c20]Woon Sang Cho, Yizhe Zhang, Sudha Rao, Asli Celikyilmaz, Chenyan Xiong, Jianfeng Gao, Mengdi Wang, Bill Dolan:
Contrastive Multi-document Question Generation. EACL 2021: 12-30 - [c19]Bodhisattwa Prasad Majumder, Sudha Rao, Michel Galley, Julian J. McAuley:
Ask what's missing and what's useful: Improving Clarification Question Generation using Global Knowledge. NAACL-HLT 2021: 4300-4312 - [c18]Yichen Jiang, Asli Celikyilmaz, Paul Smolensky, Paul Soulos, Sudha Rao, Hamid Palangi, Roland Fernandez, Caitlin Smith
Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization. NAACL-HLT 2021: 4780-4793 - [c17]Nikolay Malkin, Sameera Lanka, Pranav Goel, Sudha Rao, Nebojsa Jojic:
GPT Perdetry Test: Generating new meanings for new words. NAACL-HLT 2021: 5542-5553 - [i13]Bodhisattwa Prasad Majumder, Sudha Rao, Michel Galley, Julian J. McAuley:
Ask what's missing and what's useful: Improving Clarification Question Generation using Global Knowledge. CoRR abs/2104.06828 (2021) - [i12]Yichen Jiang, Asli Celikyilmaz, Paul Smolensky, Paul Soulos, Sudha Rao, Hamid Palangi, Roland Fernandez, Caitlin Smith, Mohit Bansal, Jianfeng Gao:
Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization. CoRR abs/2106.01317 (2021) - 2020
- [c16]Angela S. Lin, Sudha Rao, Asli Celikyilmaz, Elnaz Nouri, Chris Brockett
A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks. ACL 2020: 4871-4884 - [c15]Roshan Rao, Sudha Rao, Elnaz Nouri, Debadeepta Dey, Asli Celikyilmaz, Bill Dolan:
Quality and Relevance Metrics for Selection of Multimodal Pretraining Data. CVPR Workshops 2020: 4109-4116 - [c14]Allison Hegel, Sudha Rao, Asli Celikyilmaz, Bill Dolan:
Substance over Style: Document-Level Targeted Content Transfer. EMNLP (1) 2020: 6485-6504 - [i11]Angela S. Lin, Sudha Rao, Asli Celikyilmaz, Elnaz Nouri, Chris Brockett, Debadeepta Dey, Bill Dolan:
A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks. CoRR abs/2005.09606 (2020) - [i10]Allison Hegel, Sudha Rao, Asli Celikyilmaz, Bill Dolan:
Substance over Style: Document-Level Targeted Content Transfer. CoRR abs/2010.08618 (2020) - [i9]Hassan Akbari, Hamid Palangi, Jianwei Yang, Sudha Rao, Asli Celikyilmaz, Roland Fernandez, Paul Smolensky, Jianfeng Gao, Shih-Fu Chang:
Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and Language. CoRR abs/2011.09530 (2020)
2010 – 2019
- 2019
- [c13]Yang Trista Cao, Sudha Rao, Hal Daumé III:
Controlling the Specificity of Clarification Question Generation. WNLP@ACL 2019: 53-56 - [c12]Woon Sang Cho, Yizhe Zhang, Sudha Rao, Chris Brockett
Generating a Common Question from Multiple Documents using Multi-source Encoder-Decoder Models. NGT@EMNLP-IJCNLP 2019: 32-43 - [c11]Elissa M. Redmiles, Lisa N. Maszkiewicz, Emily Hwang, Dhruv Kuchhal, Everest Liu, Miraida Morales, Denis Peskov, Sudha Rao, Rock Stevens, Kristina Gligoric
Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts. EMNLP/IJCNLP (1) 2019: 4830-4841 - [c10]Sudha Rao, Hal Daumé III:
Answer-based Adversarial Training for Generating Clarification Questions. NAACL-HLT (1) 2019: 143-155 - [i8]Sudha Rao, Hal Daumé III:
Answer-based Adversarial Training for Generating Clarification Questions. CoRR abs/1904.02281 (2019) - [i7]Woon Sang Cho, Yizhe Zhang, Sudha Rao, Chris Brockett, Sungjin Lee:
Generating a Common Question from Multiple Documents using Multi-source Encoder-Decoder Models. CoRR abs/1910.11483 (2019) - [i6]Woon Sang Cho, Yizhe Zhang, Sudha Rao, Asli Celikyilmaz, Chenyan Xiong, Jianfeng Gao, Mengdi Wang, Bill Dolan:
Unsupervised Common Question Generation from Multiple Documents using Reinforced Contrastive Coordinator. CoRR abs/1911.03047 (2019) - 2018
- [b1]Sudha Rao:
Teaching Machines to Ask Useful Clarification Questions. University of Maryland, College Park, MD, USA, 2018 - [c9]Sudha Rao, Hal Daumé III:
Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information. ACL (1) 2018: 2737-2746 - [c8]Xing Niu, Sudha Rao, Marine Carpuat:
Multi-Task Neural Models for Translating Between Styles Within and Across Languages. COLING 2018: 1008-1021 - [c7]Sudha Rao, Joel R. Tetreault:
Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer. NAACL-HLT 2018: 129-140 - [i5]Sudha Rao, Joel R. Tetreault:
Dear Sir or Madam, May I introduce the YAFC Corpus: Corpus, Benchmarks and Metrics for Formality Style Transfer. CoRR abs/1803.06535 (2018) - [i4]Sudha Rao, Hal Daumé III:
Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information. CoRR abs/1805.04655 (2018) - [i3]Xing Niu, Sudha Rao, Marine Carpuat:
Multi-Task Neural Models for Translating Between Styles Within and Across Languages. CoRR abs/1806.04357 (2018) - 2017
- [c6]Sudha Rao:
Are You Asking the Right Questions? Teaching Machines to Ask Clarification Questions. ACL (Student Research Workshop) 2017: 30-35 - [c5]Sudha Rao, Daniel Marcu, Kevin Knight, Hal Daumé III:
Biomedical Event Extraction using Abstract Meaning Representation. BioNLP 2017: 126-135 - [i2]Allyson Ettinger, Sudha Rao, Hal Daumé III, Emily M. Bender:
Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task. CoRR abs/1711.01505 (2017) - 2016
- [c4]Sudha Rao, Yogarshi Vyas, Hal Daumé III, Philip Resnik:
CLIP$@$UMD at SemEval-2016 Task 8: Parser for Abstract Meaning Representation using Learning to Search. SemEval@NAACL-HLT 2016: 1190-1196 - 2015
- [c3]Akshay Khatwani, Komala Pawar, Sushma Hegde, Sudha Rao, Adithya Seshasayee, V. Ramasubramanian
Spoken Document Retrieval: Sub-sequence DTW Framework and Variants. MIKE 2015: 297-311 - [c2]Hal Daumé III, John Langford, Kai-Wei Chang, He He, Sudha Rao:
Hands-on Learning to Search for Structured Prediction. HLT-NAACL 2015: 1 - [c1]Sudha Rao, Allyson Ettinger, Hal Daumé III, Philip Resnik:
Dialogue focus tracking for zero pronoun resolution. HLT-NAACL 2015: 494-503 - [i1]Sudha Rao, Yogarshi Vyas, Hal Daumé III, Philip Resnik:
Parser for Abstract Meaning Representation using Learning to Search. CoRR abs/1510.07586 (2015)
Coauthor Index
aka: Bill Dolan
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