Web Credibility: Features Exploration and Credibility Prediction. - Alexandra Olteanu; Stanislav Peshterliev; Xin Liu 027; Karl Aberer (ECIR, 2013)

Statistical Model Compression for Small-Footprint Natural Language Understanding. - Grant P. Strimel; Kanthashree Mysore Sathyendra; Stanislav Peshterliev (INTERSPEECH, 2018)

Active Learning for New Domains in Natural Language Understanding. - Stanislav Peshterliev; John Kearney; Abhyuday Jagannatha; Imre Kiss; Spyros Matsoukas (NAACL-HLT (2), 2019)

F10-SGD: Fast Training of Elastic-net Linear Models for Text Classification and Named-entity Recognition. - Stanislav Peshterliev; Alexander Hsieh; Imre Kiss (CoRR, 2019)

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. - Sewon Min; Jordan L. Boyd-Graber; Chris Alberti; Danqi Chen 001; Eunsol Choi; Michael Collins 001; Kelvin Guu; Hannaneh Hajishirzi; Kenton Lee; Jennimaria Palomaki; Colin Raffel; Adam Roberts; et al. (NeurIPS (Competition and Demos), 2020)

Self-Attention Gazetteer Embeddings for Named-Entity Recognition. - Stanislav Peshterliev; Christophe Dupuy; Imre Kiss (CoRR, 2020)

Unified Open-Domain Question Answering with Structured and Unstructured Knowledge. - Barlas Oguz; Xilun Chen 002; Vladimir Karpukhin; Stan Peshterliev; Dmytro Okhonko; Michael Sejr Schlichtkrull; Sonal Gupta; Yashar Mehdad; Scott Yih (CoRR, 2020)

Decoupled Transformer for Scalable Inference in Open-domain Question Answering. - Haytham ElFadeel; Stanislav Peshterliev (RANLP, 2021)

Conversational Answer Generation and Factuality for Reading Comprehension Question-Answering. - Stan Peshterliev; Barlas Oguz; Debojeet Chatterjee; Hakan Inan; Vikas Bhardwaj (CoRR, 2021)

Robustly Optimized and Distilled Training for Natural Language Understanding. - Haytham ElFadeel; Stan Peshterliev (CoRR, 2021)

Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? - Xilun Chen 002; Kushal Lakhotia; Barlas Oguz; Anchit Gupta; Patrick S. H. Lewis; Stan Peshterliev; Yashar Mehdad; Sonal Gupta; Wen-tau Yih (EMNLP (Findings), 2022)

UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering. - Barlas Oguz; Xilun Chen 002; Vladimir Karpukhin; Stan Peshterliev; Dmytro Okhonko; Michael Sejr Schlichtkrull; Sonal Gupta; Yashar Mehdad; Scott Yih (NAACL-HLT (Findings), 2022)

Improving Opinion-based Question Answering Systems Through Label Error Detection and Overwrite. - Xiao Yang; Ahmed K. Mohamed; Shashank Jain; Stanislav Peshterliev; Debojeet Chatterjee; Hanwen Zha; Nikita Bhalla; Gagan Aneja; Pranab Mohanty (CoRR, 2023)