Scholar
Dheeru Dua
Google Scholar ID: RDky42sAAAAJ
University of California, Irvine
Citations & Impact
Citations
14,427
H-index
15
i10-index
17
Publications
20
Co-authors
10
list available
Contact
Resume (English only)
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
