Scholar
Dheeru Dua
Google Scholar ID: RDky42sAAAAJ
University of California, Irvine
Natural Language Processing
Machine Learning
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
14,427
H-index
15
i10-index
17
Publications
20
Co-authors
10
list available
Contact
CV
Open ↗
Publications
1 items
Don't lie to your friends: Learning what you know from collaborative self-play
2025
Cited
0
Resume
Academic Achievements
- Publications:
- 'To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering' (ACL 2023)
- 'Sucessive Prompting for Question Decomposition' (EMNLP 2022)
- 'Tricks for Training Sparse Translation Models' (NAACL 2022)
- 'Learning with Instance Bundles for Reading Comprehension' (EMNLP 2021)
- 'Generative Context Pair Selection for Multi-hop Question Answering' (EMNLP 2021)
- 'Benefits of Intermediate Annotations in Reading Comprehension' (ACL 2020)
- 'Dynamic Sampling Strategies for Multi-Task Reading Comprehension' (ACL 2020)
- 'DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs' (NAACL 2019)
- 'Generating Natural Adversarial Examples' (ICLR 2018)
- 'PoMo: Generating Entity-Specific Post-Modifiers in Context' (NAACL 2019)
- 'ORB: An Open Reading Benchmark for Comprehensive Multi-Dataset Evaluation of Reading Comprehension' (MRQA 2019)
Research Experience
- Summer 2020: Internship at Amazon (AWS)
- Summer 2021: Internship at Facebook AI Research (FAIR)
- Summer 2022: Internship at Google Research
- Research experience during Ph.D.:
- Performed relation classification using distantly-supervised MultiR algorithm with features extracted by doing random walks on the Freebase graph.
- Built an event extraction system using passive-aggressive conditional random fields for TAC KBP 2015.
- Used reinforcement learning approaches, DQN with MCTS guided policy for abstractive document summarization.
- Worked on the NTCIR Question Answering task as part of my Master's thesis and experimented with various components.
- Designed and developed a torch-based framework for fast development and deployment of neural network models into production.
Education
- Ph.D.: University of California, Irvine, Department of Computer Science, Advisors: Dr. Sameer Singh, Dr. Matt Gardner
- Master's Degree: Carnegie Mellon University, Pittsburgh
Background
Research Interests: Natural Language Processing, Machine Learning. Currently a Research Scientist at Google Deepmind, previously completed a Ph.D. in the Computer Science Department at the University of California, Irvine.
Miscellany
Personal interests and hobbies not mentioned
Co-authors
8 total
Sameer Singh
Professor, UC Irvine | CTO, Spiffy AI
Pradeep Dasigi
Allen Institute for AI (Ai2)
Gabriel Stanovsky
The Hebrew University of Jerusalem
Yizhong Wang
University of Washington
Mike Lewis
Facebook AI Research
Angela Fan
Meta
Vedanuj Goswami
Llama Team, Research Engineer, Meta AI
Zhengli Zhao
Ph.D. in Computer Science