Sudha Rao

According to our database, Sudha Rao authored at least 31 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Investigating Agency of LLMs in Human-AI Collaboration Tasks.

Ashish Sharma, Sudha Rao, Chris Brockett, Akanksha Malhotra, Nebojsa Jojic, Bill Dolan

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

GRIM: GRaph-based Interactive narrative visualization for gaMes.

Jorge Leandro, Sudha Rao, Michael Xu, Weijia Xu, Nebojsa Jojic, Chris Brockett, Bill Dolan

CoRR, 2023

Towards Dialogue Systems with Agency in Human-AI Collaboration Tasks.

Ashish Sharma, Sudha Rao, Chris Brockett, Akanksha Malhotra, Nebojsa Jojic, Bill Dolan

CoRR, 2023

2022

Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages.

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

CoRR, 2022

Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation.

Faeze Brahman, Baolin Peng, Michel Galley, Sudha Rao, Bill Dolan, Snigdha Chaturvedi, Jianfeng Gao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

GPT Perdetry Test: Generating new meanings for new words.

Nikolay Malkin, Sameera Lanka, Pranav Goel, Sudha Rao, Nebojsa Jojic

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

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

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

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

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Contrastive Multi-document Question Generation.

Woon Sang Cho, Yizhe Zhang, Sudha Rao, Asli Celikyilmaz, Chenyan Xiong, Jianfeng Gao, Mengdi Wang, Bill Dolan

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and Language.

Hassan Akbari, Hamid Palangi, Jianwei Yang, Sudha Rao, Asli Celikyilmaz, Roland Fernandez, Paul Smolensky, Jianfeng Gao, Shih-Fu Chang

CoRR, 2020

Substance over Style: Document-Level Targeted Content Transfer.

Allison Hegel, Sudha Rao, Asli Celikyilmaz, Bill Dolan

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Quality and Relevance Metrics for Selection of Multimodal Pretraining Data.

Roshan Rao, Sudha Rao, Elnaz Nouri, Debadeepta Dey, Asli Celikyilmaz, Bill Dolan

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

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

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Unsupervised Common Question Generation from Multiple Documents using Reinforced Contrastive Coordinator.

Woon Sang Cho, Yizhe Zhang, Sudha Rao, Asli Celikyilmaz, Chenyan Xiong, Jianfeng Gao, Mengdi Wang, Bill Dolan

CoRR, 2019

Answer-based Adversarial Training for Generating Clarification Questions.

Sudha Rao, Hal Daumé III

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

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 Daumé III

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Generating a Common Question from Multiple Documents using Multi-source Encoder-Decoder Models.

Woon Sang Cho, Yizhe Zhang, Sudha Rao, Chris Brockett, Sungjin Lee

Proceedings of the 3rd Workshop on Neural Generation and Translation@EMNLP-IJCNLP 2019, 2019

Controlling the Specificity of Clarification Question Generation.

Yang Trista Cao, Sudha Rao, Hal Daumé III

Proceedings of the 2019 Workshop on Widening NLP@ACL 2019, Florence, Italy, July 28, 2019, 2019

2018

Teaching Machines to Ask Useful Clarification Questions.

Sudha Rao

PhD thesis, 2018

Dear Sir or Madam, May I introduce the YAFC Corpus: Corpus, Benchmarks and Metrics for Formality Style Transfer.

Sudha Rao, Joel R. Tetreault

CoRR, 2018

Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer.

Sudha Rao, Joel R. Tetreault

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Multi-Task Neural Models for Translating Between Styles Within and Across Languages.

Xing Niu, Sudha Rao, Marine Carpuat

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information.

Sudha Rao, Hal Daumé III

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task.

Allyson Ettinger, Sudha Rao, Hal Daumé III, Emily M. Bender

CoRR, 2017

Biomedical Event Extraction using Abstract Meaning Representation.

Sudha Rao, Daniel Marcu, Kevin Knight, Hal Daumé III

Proceedings of the BioNLP 2017, Vancouver, Canada, August 4, 2017, 2017

Are You Asking the Right Questions? Teaching Machines to Ask Clarification Questions.

Sudha Rao

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

CLIP$@$UMD at SemEval-2016 Task 8: Parser for Abstract Meaning Representation using Learning to Search.

Sudha Rao, Yogarshi Vyas, Hal Daumé III, Philip Resnik

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

2015

Parser for Abstract Meaning Representation using Learning to Search.

Sudha Rao, Yogarshi Vyas, Hal Daumé III, Philip Resnik

CoRR, 2015

Dialogue focus tracking for zero pronoun resolution.

Sudha Rao, Allyson Ettinger, Hal Daumé III, Philip Resnik

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Hands-on Learning to Search for Structured Prediction.

Hal Daumé III, John Langford, Kai-Wei Chang, He He, Sudha Rao

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Spoken Document Retrieval: Sub-sequence DTW Framework and Variants.

Akshay Khatwani, Komala Pawar, Sushma Hegde, Sudha Rao, Adithya Seshasayee, V. Ramasubramanian

Proceedings of the Mining Intelligence and Knowledge Exploration, 2015