A Study of Question Effectiveness Using Reddit "Ask Me Anything" Threads. - Kristjan Arumae; Guo-Jun Qi; Fei Liu 004 (FLAIRS, 2017)

Reinforced Extractive Summarization with Question-Focused Rewards. - Kristjan Arumae; Fei Liu 004 (ACL (3), 2018)

Dynamic Transfer Learning for Named Entity Recognition. - Parminder Bhatia; Kristjan Arumae; Busra Celikkaya (CoRR, 2018)

Towards Fast and Unified Transfer Learning Architectures for Sequence Labeling. - Parminder Bhatia; Kristjan Arumae; Busra Celikkaya (ICMLA, 2019)

Guiding Extractive Summarization with Question-Answering Rewards. - Kristjan Arumae; Fei Liu 004 (NAACL-HLT (1), 2019)

Towards Annotating and Creating Sub-Sentence Summary Highlights. - Kristjan Arumae; Parminder Bhatia; Fei Liu 004 (CoRR, 2019)

An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training. - Kristjan Arumae; Qing Sun; Parminder Bhatia (EMNLP (1), 2020)

CALM: Continuous Adaptive Learning for Language Modeling. - Kristjan Arumae; Parminder Bhatia (CoRR, 2020)

AWS CORD19-Search: A Scientific Literature Search Engine for COVID-19. - Parminder Bhatia; Kristjan Arumae; Nima Pourdamghani; Suyog Deshpande; Ben Snively; Mona Mona; Colby Wise; George Price; Shyam Ramaswamy; Taha A. Kass-Hout (CoRR, 2020)

Dynamic Transfer Learning for Named Entity Recognition. - Parminder Bhatia; Kristjan Arumae; E. Busra Celikkaya (Precision Health and Medicine, 2020)

Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking. - Denis Jered McInerney; Luyang Kong; Kristjan Arumae; Byron C. Wallace; Parminder Bhatia (CoRR, 2021)

An Empirical Evaluation of Encoder Architectures for Fast Real-Time Long Conversational Understanding. - Annamalai Senthilnathan; Kristjan Arumae; Mohammed Khalilia; Zhengzheng Xing; Aaron Colak (CoRR, 2025)