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Stanislav Peshterliev
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2020 – today
- 2023
- [i11]Xiao Yang, Ahmed K. Mohamed, Shashank Jain, Stanislav Peshterliev, Debojeet Chatterjee, Hanwen Zha, Nikita Bhalla, Gagan Aneja, Pranab Mohanty:
Improving Opinion-based Question Answering Systems Through Label Error Detection and Overwrite. CoRR abs/2306.07499 (2023) - 2022
- [c7]Xilun Chen, Kushal Lakhotia, Barlas Oguz, Anchit Gupta, Patrick S. H. Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, Wen-tau Yih:
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? EMNLP (Findings) 2022: 250-262 - [c6]Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih:
UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering. NAACL-HLT (Findings) 2022: 1535-1546 - 2021
- [c5]Haytham ElFadeel, Stanislav Peshterliev:
Decoupled Transformer for Scalable Inference in Open-domain Question Answering. RANLP 2021: 386-393 - [i10]Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis
, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR abs/2101.00133 (2021) - [i9]Stan Peshterliev, Barlas Oguz, Debojeet Chatterjee, Hakan Inan, Vikas Bhardwaj:
Conversational Answer Generation and Factuality for Reading Comprehension Question-Answering. CoRR abs/2103.06500 (2021) - [i8]Haytham ElFadeel, Stan Peshterliev:
Robustly Optimized and Distilled Training for Natural Language Understanding. CoRR abs/2103.08809 (2021) - [i7]Haytham ElFadeel, Stan Peshterliev:
Decoupled Transformer for Scalable Inference in Open-domain Question Answering. CoRR abs/2108.02765 (2021) - [i6]Xilun Chen, Kushal Lakhotia, Barlas Oguz, Anchit Gupta, Patrick S. H. Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, Wen-tau Yih:
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? CoRR abs/2110.06918 (2021) - 2020
- [c4]Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) 2020: 86-111 - [i5]Stanislav Peshterliev, Christophe Dupuy, Imre Kiss:
Self-Attention Gazetteer Embeddings for Named-Entity Recognition. CoRR abs/2004.04060 (2020) - [i4]Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih:
Unified Open-Domain Question Answering with Structured and Unstructured Knowledge. CoRR abs/2012.14610 (2020)
2010 – 2019
- 2019
- [c3]Stanislav Peshterliev, John Kearney, Abhyuday Jagannatha, Imre Kiss, Spyros Matsoukas:
Active Learning for New Domains in Natural Language Understanding. NAACL-HLT (2) 2019: 90-96 - [i3]Stanislav Peshterliev, Alexander Hsieh, Imre Kiss:
F10-SGD: Fast Training of Elastic-net Linear Models for Text Classification and Named-entity Recognition. CoRR abs/1902.10649 (2019) - 2018
- [c2]Grant P. Strimel, Kanthashree Mysore Sathyendra, Stanislav Peshterliev:
Statistical Model Compression for Small-Footprint Natural Language Understanding. INTERSPEECH 2018: 571-575 - [i2]Grant P. Strimel, Kanthashree Mysore Sathyendra, Stanislav Peshterliev:
Statistical Model Compression for Small-Footprint Natural Language Understanding. CoRR abs/1807.07520 (2018) - [i1]Stanislav Peshterliev, John Kearney, Abhyuday Jagannatha, Imre Kiss, Spyros Matsoukas:
Active Learning for New Domains in Natural Language Understanding. CoRR abs/1810.03450 (2018) - 2013
- [c1]Alexandra Olteanu, Stanislav Peshterliev, Xin Liu, Karl Aberer:
Web Credibility: Features Exploration and Credibility Prediction. ECIR 2013: 557-568
Coauthor Index
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