I am Staff Applied Scientist at Meta experienced in building and shipping large-scale ML systems across LLM post-training, agents, ranking, retrieval, and NLP. Previously, I worked on Alexa’s natural langauge understanding (NLU) and entity resulation (ER) at Amazon.
Publications
“Improving opinion-based question answering systems through label error detection and overwrite” Xiao Yang, Ahmed K Mohamed, Shashank Jain, Stan Peshterliev, Debojeet Chatterjee, Hanwen Zha, Nikita Bhalla, Gagan Aneja, Pranab Mohanty. Preprint (2023).
“Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?”. Xilun Chen, Kushal Lakhotia, Barlas Oğuz, Anchit Gupta, Patrick Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, Wen-tau Yih. Preprint (2021).
“Decoupled Transformer for Scalable Inference in Open-domain Question Answering”. Haytham ElFadeel, Stan Peshterliev. RANLP (2021).
“Conversational Answer Generation and Factuality for Reading Comprehension Question-Answering”. Stan Peshterliev, Barlas Oguz, Debojeet Chatterjee, Hakan Inan, Vikas Bhardwaj. Preprint (2021).
“Robustly Optimized and Distilled Training for Natural Language Understanding”. Haytham ElFadeel and Stan Peshterliev. Preprint (2021).
“Unified Open-Domain Question Answering with Structured and Unstructured Knowledge”. Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih. Preprint (2020).
“Self-Attention Gazetteer Embeddings for Named-Entity Recognition”. Stan Peshterliev, Christophe Dupuy, Imre Kiss. Preprint (2020).
“Active Learning for New Domains in Natural Language Understanding”. Stan Peshterliev, John Kearney, Abhyuday Jagannatha, Imre Kiss, Spyros Matsoukas. NAACL 2019.
“F10-SGD: Fast Training of Elastic-net Linear Models for Text Classification and Named-entity Recognition”. Stan Peshterliev, Alexander Hsieh, Imre Kiss. Preprint 2019.
“Statistical Model Compression for Small-Footprint Natural Language Understanding”. Grant P Strimel, Kanthashree Mysore Sathyendra, Stan Peshterliev. Interspeech 2018.
“Just ASK: Building an Architecture for Extensible Self-Service Spoken Language Understanding”. Anjishnu Kumar, Arpit Gupta, Julian Chan, Sam Tucker, Bjorn Hoffmeister, Markus Dreyer, Stan Peshterliev, Ankur Gandhe, Denis Filiminov, Ariya Rastrow, et al. NIPS Conversational AI Workshop 2017.
“Web credibility: Features exploration and credibility prediction”. Alexandra Olteanu, Stan Peshterliev, Xin Liu, Karl Aberer. ECIR 2013.
“Semantic Retrieval Approach to Factoid Question Answering for Bulgarian”. Stan Peshterliev, Ivan Koychev. S3T 2012.
Professional Activities
Reviewing: AAAI (2020,2021), ACL (2020), EMNLP (2020 - Outstanding Reviewer,2021), COLING (2020)