CMU-LTI at KBP 2015 Event Track. - Zhengzhong Liu 001; Jun Araki; Dheeru Dua; Teruko Mitamura; Eduard H. Hovy (TAC, 2015)

CMUQA: Multiple-Choice Question Answering at NTCIR-12 QA Lab-2 Task. - Dheeru Dua; Bhawna Juneja; Sanchit Agarwal; Kotaro Sakamoto; Di Wang 030; Teruko Mitamura (NTCIR, 2016)

Generating Natural Adversarial Examples. - Zhengli Zhao; Dheeru Dua; Sameer Singh 001 (ICLR (Poster), 2018)

Comprehensive Multi-Dataset Evaluation of Reading Comprehension. - Dheeru Dua; Ananth Gottumukkala; Alon Talmor; Sameer Singh 001; Matt Gardner 001 (MRQA@EMNLP, 2019)

DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs. - Dheeru Dua; Yizhong Wang; Pradeep Dasigi; Gabriel Stanovsky; Sameer Singh 001; Matt Gardner 001 (NAACL-HLT (1), 2019)

PoMo: Generating Entity-Specific Post-Modifiers in Context. - Jun Seok Kang; Robert L. Logan IV; Zewei Chu; Yang Chen; Dheeru Dua; Kevin Gimpel; Sameer Singh 001; Niranjan Balasubramanian (NAACL-HLT (1), 2019)

ORB: An Open Reading Benchmark for Comprehensive Evaluation of Machine Reading Comprehension. - Dheeru Dua; Ananth Gottumukkala; Alon Talmor; Sameer Singh 001; Matt Gardner 001 (CoRR, 2019)

Benefits of Intermediate Annotations in Reading Comprehension. - Dheeru Dua; Sameer Singh 001; Matt Gardner 001 (ACL, 2020)

Dynamic Sampling Strategies for Multi-Task Reading Comprehension. - Ananth Gottumukkala; Dheeru Dua; Sameer Singh 001; Matt Gardner 001 (ACL, 2020)

Evaluating Models' Local Decision Boundaries via Contrast Sets. - Matt Gardner 001; Yoav Artzi; Victoria Basmova; Jonathan Berant; Ben Bogin; Sihao Chen; Pradeep Dasigi; Dheeru Dua; Yanai Elazar; Ananth Gottumukkala; Nitish Gupta; Hannaneh Hajishirzi; et al. (EMNLP (Findings), 2020)

Easy, Reproducible and Quality-Controlled Data Collection with CROWDAQ. - Qiang Ning; Hao Wu 034; Pradeep Dasigi; Dheeru Dua; Matt Gardner 001; Robert L. Logan IV; Ana Marasovic; Zhen Nie (EMNLP (Demos), 2020)

Evaluating NLP Models via Contrast Sets. - Matt Gardner 001; Yoav Artzi; Victoria Basmova; Jonathan Berant; Ben Bogin; Sihao Chen; Pradeep Dasigi; Dheeru Dua; Yanai Elazar; Ananth Gottumukkala; Nitish Gupta; Hanna Hajishirzi; et al. (CoRR, 2020)

Learning with Instance Bundles for Reading Comprehension. - Dheeru Dua; Pradeep Dasigi; Sameer Singh 001; Matt Gardner 001 (EMNLP (1), 2021)

Generative Context Pair Selection for Multi-hop Question Answering. - Dheeru Dua; Cícero Nogueira dos Santos; Patrick Ng; Ben Athiwaratkun; Bing Xiang; Matt Gardner 001; Sameer Singh 001 (EMNLP (1), 2021)

Successive Prompting for Decomposing Complex Questions. - Dheeru Dua; Shivanshu Gupta; Sameer Singh 001; Matt Gardner 001 (EMNLP, 2022)

Tricks for Training Sparse Translation Models. - Dheeru Dua; Shruti Bhosale; Vedanuj Goswami; James Cross 003; Mike Lewis; Angela Fan (NAACL-HLT, 2022)

To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering. - Dheeru Dua; Emma Strubell; Sameer Singh 001; Pat Verga (ACL (1), 2023)

Inducing Symbolic Characteristics in Neural Question-Answering Systems via Data Interventions - Dheeru Dua (2023)

Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? - Jinhyuk Lee; Anthony Chen; Zhuyun Dai; Dheeru Dua; Devendra Singh Sachan; Michael Boratko; Yi Luan; Sébastien M. R. Arnold; Vincent Perot; Siddharth Dalmia; Hexiang Hu; Xudong Lin 008; et al. (CoRR, 2024)

LOFT: Scalable and More Realistic Long-Context Evaluation. - Jinhyuk Lee; Anthony Chen; Zhuyun Dai; Dheeru Dua; Devendra Singh Sachan; Michael Boratko; Yi Luan; Sébastien M. R. Arnold; Vincent Perot; Siddharth Dalmia; Hexiang Hu; Xudong Lin 008; et al. (NAACL (Findings), 2025)

Don't lie to your friends: Learning what you know from collaborative self-play. - Jacob Eisenstein; Reza Aghajani; Adam Fisch; Dheeru Dua; Fantine Huot; Mirella Lapata; Vicky Zayats; Jonathan Berant (CoRR, 2025)