Spoken Document Retrieval: Sub-sequence DTW Framework and Variants. - Akshay Khatwani; Komala Pawar; Sushma Hegde; Sudha Rao; Adithya Seshasayee; V. Ramasubramanian 001 (MIKE, 2015)

Hands-on Learning to Search for Structured Prediction. - Hal Daumé III; John Langford 001; Kai-Wei Chang; He He 001; Sudha Rao (HLT-NAACL, 2015)

Dialogue focus tracking for zero pronoun resolution. - Sudha Rao; Allyson Ettinger; Hal Daumé III; Philip Resnik (HLT-NAACL, 2015)

Parser for Abstract Meaning Representation using Learning to Search. - Sudha Rao; Yogarshi Vyas; Hal Daumé III; Philip Resnik (CoRR, 2015)

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 (SemEval@NAACL-HLT, 2016)

Are You Asking the Right Questions? Teaching Machines to Ask Clarification Questions. - Sudha Rao (ACL (Student Research Workshop), 2017)

Biomedical Event Extraction using Abstract Meaning Representation. - Sudha Rao; Daniel Marcu; Kevin Knight; Hal Daumé III (BioNLP, 2017)

Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task. - Allyson Ettinger; Sudha Rao; Hal Daumé III; Emily M. Bender (CoRR, 2017)

Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information. - Sudha Rao; Hal Daumé III (ACL (1), 2018)

Multi-Task Neural Models for Translating Between Styles Within and Across Languages. - Xing Niu 001; Sudha Rao; Marine Carpuat (COLING, 2018)

Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer. - Sudha Rao; Joel R. Tetreault (NAACL-HLT, 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)

Teaching Machines to Ask Useful Clarification Questions. - Sudha Rao (2018)

Controlling the Specificity of Clarification Question Generation. - Yang Trista Cao; Sudha Rao; Hal Daumé III (WNLP@ACL, 2019)

Generating a Common Question from Multiple Documents using Multi-source Encoder-Decoder Models. - Woon Sang Cho; Yizhe Zhang 002; Sudha Rao; Chris Brockett; Sungjin Lee (NGT@EMNLP-IJCNLP, 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; et al. (EMNLP/IJCNLP (1), 2019)

Answer-based Adversarial Training for Generating Clarification Questions. - Sudha Rao; Hal Daumé III (NAACL-HLT (1), 2019)

Unsupervised Common Question Generation from Multiple Documents using Reinforced Contrastive Coordinator. - Woon Sang Cho; Yizhe Zhang 002; Sudha Rao; Asli Celikyilmaz; Chenyan Xiong; Jianfeng Gao 001; Mengdi Wang; Bill Dolan (CoRR, 2019)

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 (ACL, 2020)

Quality and Relevance Metrics for Selection of Multimodal Pretraining Data. - Roshan Rao; Sudha Rao; Elnaz Nouri; Debadeepta Dey; Asli Celikyilmaz; Bill Dolan (CVPR Workshops, 2020)

Substance over Style: Document-Level Targeted Content Transfer. - Allison Hegel; Sudha Rao; Asli Celikyilmaz; Bill Dolan (EMNLP (1), 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 001; Shih-Fu Chang (CoRR, 2020)

Contrastive Multi-document Question Generation. - Woon Sang Cho; Yizhe Zhang 002; Sudha Rao; Asli Celikyilmaz; Chenyan Xiong; Jianfeng Gao 001; Mengdi Wang; Bill Dolan (EACL, 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 001 (NAACL-HLT, 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 (NAACL-HLT, 2021)

GPT Perdetry Test: Generating new meanings for new words. - Nikolay Malkin; Sameera Lanka; Pranav Goel 001; Sudha Rao; Nebojsa Jojic (NAACL-HLT, 2021)

Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation. - Faeze Brahman; Baolin Peng; Michel Galley; Sudha Rao; Bill Dolan; Snigdha Chaturvedi; Jianfeng Gao 001 (EMNLP (Findings), 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 001; Paul Smolensky (CoRR, 2022)

Towards Dialogue Systems with Agency in Human-AI Collaboration Tasks. - Ashish Sharma; Sudha Rao; Chris Brockett; Akanksha Malhotra; Nebojsa Jojic; Bill Dolan (CoRR, 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)

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 (ACL (Findings), 2024)

GENEVA: GENErating and Visualizing branching narratives using LLMs. - Jorge Leandro; Sudha Rao; Michael Xu; Weijia Xu; Nebojsa Jojic; Chris Brockett; Bill Dolan (CoG, 2024)

Player-Driven Emergence in LLM-Driven Game Narrative. - Xiangyu Peng; Jessica Quaye; Sudha Rao; Weijia Xu; Portia Botchway; Chris Brockett; Nebojsa Jojic; Gabriel DesGarennes; Ken Lobb; Michael Xu; Jorge Leandro; Claire Jin; et al. (CoG, 2024)

Prediction of KRAS mutation status from H&E foundation model embeddings in non-small cell lung cancer. - Marc Robbins; Jessica Loo; Saurabh Vyawahare; Yang Wang; Carson McNeil; David F. Steiner; Sudha Rao; Pok Fai Wong; Ehud Rivlin; Shamira Weaver; Roman Goldenberg (COMPAY@MICCAI, 2024)

Investigating Agency of LLMs in Human-AI Collaboration Tasks. - Ashish Sharma; Sudha Rao; Chris Brockett; Akanksha Malhotra; Nebojsa Jojic; Bill Dolan (EACL (1), 2024)

Player-Driven Emergence in LLM-Driven Game Narrative. - Xiangyu Peng; Jessica Quaye; Weijia Xu; Chris Brockett; Bill Dolan; Nebojsa Jojic; Gabriel DesGarennes; Ken Lobb; Michael Xu; Jorge Leandro; Claire Jin; Sudha Rao (CoRR, 2024)

Collaborative Quest Completion with LLM-driven Non-Player Characters in Minecraft. - Sudha Rao; Weijia Xu; Michael Xu; Jorge Leandro; Ken Lobb; Gabriel DesGarennes; Chris Brockett; Bill Dolan (CoRR, 2024)

MCPDial: A Minecraft Persona-driven Dialogue Dataset. - Seyed Hossein Alavi; Sudha Rao; Ashutosh Adhikari; Gabriel DesGarennes; Akanksha Malhotra; Chris Brockett; Mahmoud Adada; Raymond T. Ng; Vered Shwartz; Bill Dolan (CoRR, 2024)

Game Plot Design with an LLM-powered Assistant: An Empirical Study with Game Designers. - Seyed Hossein Alavi; Weijia Xu; Nebojsa Jojic; Daniel Kennett; Raymond T. Ng; Sudha Rao; Haiyan Zhang; Bill Dolan; Vered Shwartz (CoRR, 2024)

Echoes in AI: Quantifying Lack of Plot Diversity in LLM Outputs. - Weijia Xu; Nebojsa Jojic; Sudha Rao; Chris Brockett; Bill Dolan (CoRR, 2025)