Pontus Stenetorp

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 103

Top Venues

CoRR

EMNLP (1)

EMNLP

ACL (1)

Publications

Yao Lu, Jiayi Wang, Raphael Tang, Sebastian Riedel, Pontus Stenetorp
Strings from the Library of Babel: Random Sampling as a Strong Baseline for Prompt Optimisation. NAACL-HLT (2024)
Jiayi Wang, David Ifeoluwa Adelani, Sweta Agrawal, Marek Masiak, Ricardo Rei, Eleftheria Briakou, Marine Carpuat, Xuanli He, Sofia Bourhim, Andiswa Bukula, Muhidin Mohamed, Temitayo Olatoye, Tosin P. Adewumi, Hamam Mokayed, Christine Mwase, Wangui Kimotho, Foutse Yuehgoh, Anuoluwapo Aremu, Jessica Ojo, Shamsuddeen Hassan Muhammad, Salomey Osei, Abdul-Hakeem Omotayo, Chiamaka Chukwuneke, Perez Ogayo, Oumaima Hourrane, Salma El Anigri, Lolwethu Ndolela, Thabiso Mangwana, Shafie Abdi Mohamed, Ayinde Hassan, Oluwabusayo Olufunke Awoyomi, Lama Alkhaled, Sana Sabah Al-Azzawi, Naome A. Etori, Millicent Ochieng, Clemencia Siro, Njoroge Kiragu, Eric Muchiri, Wangari Kimotho, Sakayo Toadoum Sari, Lyse Naomi Wamba Momo, Daud Abolade, Simbiat Ajao, Iyanuoluwa Shode, Ricky Macharm, Ruqayya Nasir Iro, Saheed S. Abdullahi, Stephen E. Moore, Bernard Opoku, Zainab Akinjobi, Afolabi Abeeb, Nnaemeka C. Obiefuna, Onyekachi Ogbu, Sam Ochieng', Verrah Otiende, Chinedu E. Mbonu, Yao Lu, Pontus Stenetorp
AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages. NAACL-HLT (2024)
Filip Trhlik, Pontus Stenetorp
Quantifying Generative Media Bias with a Corpus of Real-world and Generated News Articles. CoRR (2024)
Lovish Madaan, Aaditya K. Singh, Rylan Schaeffer, Andrew Poulton, Sanmi Koyejo, Pontus Stenetorp, Sharan Narang, Dieuwke Hupkes
Quantifying Variance in Evaluation Benchmarks. CoRR (2024)
Xinchi Qiu, William F. Shen, Yihong Chen, Nicola Cancedda, Pontus Stenetorp, Nicholas D. Lane
PISTOL: Dataset Compilation Pipeline for Structural Unlearning of LLMs. CoRR (2024)
Kenza Benkirane, Laura Gongas, Shahar Pelles, Naomi Fuchs, Joshua Darmon, Pontus Stenetorp, David Ifeoluwa Adelani, Eduardo Sánchez
Machine Translation Hallucination Detection for Low and High Resource Languages using Large Language Models. CoRR (2024)
Xuanli He, Yuxiang Wu, Oana-Maria Camburu, Pasquale Minervini, Pontus Stenetorp
Using Natural Language Explanations to Improve Robustness of In-context Learning. ACL (1) (2024)
Xuanli He, Jun Wang, Qiongkai Xu, Pasquale Minervini, Pontus Stenetorp, Benjamin I. P. Rubinstein, Trevor Cohn
Transferring Troubles: Cross-Lingual Transferability of Backdoor Attacks in LLMs with Instruction Tuning. CoRR (2024)
David Ifeoluwa Adelani, Jessica Ojo, Israel Abebe Azime, Jian Yun Zhuang, Jesujoba O. Alabi, Xuanli He, Millicent Ochieng, Sara Hooker, Andiswa Bukula, En-Shiun Annie Lee, Chiamaka Chukwuneke, Happy Buzaaba, Blessing K. Sibanda, Godson Kalipe, Jonathan Mukiibi, Salomon Kabongo, Foutse Yuehgoh, Mmasibidi Setaka, Lolwethu Ndolela, Nkiruka Odu, Rooweither Mabuya, Shamsuddeen Hassan Muhammad, Salomey Osei, Sokhar Samb, Tadesse Kebede Guge, Pontus Stenetorp
IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models. CoRR (2024)
Raphael Tang, Xinyu Zhang, Lixinyu Xu, Yao Lu, Wenyan Li, Pontus Stenetorp, Jimmy Lin, Ferhan Ture
Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation. CoRR (2024)
Yao Lu, Jiayi Wang, Sebastian Riedel, Pontus Stenetorp
Prompt Optimisation with Random Sampling. CoRR (2023)
Jiayi Wang, Ke Wang, Yuqi Zhang, Yu Zhao, Pontus Stenetorp
Non-parametric, Nearest-neighbor-assisted Fine-tuning for Neural Machine Translation. CoRR (2023)
Raphael Tang, Linqing Liu, Akshat Pandey, Zhiying Jiang, Gefei Yang, Karun Kumar, Pontus Stenetorp, Jimmy Lin, Ferhan Ture
What the DAAM: Interpreting Stable Diffusion Using Cross Attention. ACL (1) (2023)
David Ifeoluwa Adelani, Marek Masiak, Israel Abebe Azime, Jesujoba Oluwadara Alabi, Atnafu Lambebo Tonja, Christine Mwase, Odunayo Ogundepo, Bonaventure F. P. Dossou, Akintunde Oladipo, Doreen Nixdorf, Chris Chinenye Emezue, Sana Sabah Al-Azzawi, Blessing K. Sibanda, Davis David, Lolwethu Ndolela, Jonathan Mukiibi, Tunde Oluwaseyi Ajayi, Tatiana Moteu Ngoli, Brian Odhiambo, Abraham Toluwase Owodunni, Nnaemeka C. Obiefuna, Shamsuddeen Hassan Muhammad, Saheed Abdullahi Salahudeen, Mesay Gemeda Yigezu, Tajuddeen Gwadabe, Idris Abdulmumin, Mahlet Taye Bame, Oluwabusayo Olufunke Awoyomi, Iyanuoluwa Shode, Tolulope Anu Adelani, Habiba Abdulganiy Kailani, Abdul-Hakeem Omotayo, Adetola Adeeko, Afolabi Abeeb, Aremu Anuoluwapo, Samuel Olanrewaju, Clemencia Siro, Wangari Kimotho, Onyekachi Raphael Ogbu, Chinedu E. Mbonu, Chiamaka Chukwuneke, Samuel Fanijo, Jessica Ojo, Oyinkansola Awosan, Tadesse Kebede Guge, Sakayo Toadoum Sari, Pamela Nyatsine, Freedmore Sidume, Oreen Yousuf, Mardiyyah Oduwole, Ussen Kimanuka, Kanda Patrick Tshinu, Thina Diko, Siyanda Nxakama, Abdulmejid Tuni Johar, Sinodos Gebre, Muhidin Mohamed, Shafie Abdi Mohamed, Fuad Mire Hassan, Moges Ahmed Mehamed, Evrard Ngabire, Pontus Stenetorp
MasakhaNEWS: News Topic Classification for African languages. CoRR (2023)
David Ifeoluwa Adelani, Marek Masiak, Israel Abebe Azime, Jesujoba O. Alabi, Atnafu Lambebo Tonja, Christine Mwase, Odunayo Ogundepo, Bonaventure F. P. Dossou, Akintunde Oladipo, Doreen Nixdorf, Chris Chinenye Emezue, Sana Sabah Al-Azzawi, Blessing K. Sibanda, Davis David, Lolwethu Ndolela, Jonathan Mukiibi, Tunde Ajayi, Tatiana Moteu Ngoli, Brian Odhiambo, Abraham Toluwase Owodunni, Nnaemeka C. Obiefuna, Muhidin Mohamed, Shamsuddeen Hassan Muhammad, Teshome Mulugeta Ababu, Saheed Abdullahi Salahudeen, Mesay Gemeda Yigezu, Tajuddeen Gwadabe, Idris Abdulmumin, Mahlet Taye Bame, Oluwabusayo Olufunke Awoyomi, Iyanuoluwa Shode, Tolulope Anu Adelani, Habiba Abdulganiyu, Abdul-Hakeem Omotayo, Adetola Adeeko, Afolabi Abeeb, Aremu Anuoluwapo, Samuel Olanrewaju, Clemencia Siro, Wangari Kimotho, Onyekachi Raphael Ogbu, Chinedu E. Mbonu, Chiamaka Chukwuneke, Samuel Fanijo, Jessica Ojo, Oyinkansola Awosan, Tadesse Kebede Guge, Sakayo Toadoum Sari, Pamela Nyatsine, Freedmore Sidume, Oreen Yousuf, Mardiyyah Oduwole, Kanda Patrick Tshinu, Ussen Kimanuka, Thina Diko, Siyanda Nxakama, Sinodos G. Nugussie, Abdulmejid Tuni Johar, Shafie Abdi Mohamed, Fuad Mire Hassan, Moges Ahmed Mehamed, Evrard Ngabire, Jules Jules, Ivan Ssenkungu, Pontus Stenetorp
MasakhaNEWS: News Topic Classification for African languages. IJCNLP (1) (2023)
Jessica Ojo, Kelechi Ogueji, Pontus Stenetorp, David Ifeoluwa Adelani
How good are Large Language Models on African Languages? CoRR (2023)
Yunjie He, Philip John Gorinski, Ieva Staliunaite, Pontus Stenetorp
Graph Attention with Hierarchies for Multi-hop Question Answering. CoRR (2023)
Yihong Chen, Kelly Marchisio, Roberta Raileanu, David Ifeoluwa Adelani, Pontus Stenetorp, Sebastian Riedel, Mikel Artetxe
Improving Language Plasticity via Pretraining with Active Forgetting. CoRR (2023)
Haolan Zhan, Xuanli He, Qiongkai Xu, Yuxiang Wu, Pontus Stenetorp
G3Detector: General GPT-Generated Text Detector. CoRR (2023)
Xuanli He, Yuxiang Wu, Oana-Maria Camburu, Pasquale Minervini, Pontus Stenetorp
Using Natural Language Explanations to Improve Robustness of In-context Learning for Natural Language Inference. CoRR (2023)
Eduardo Sánchez, Pierre Andrews, Pontus Stenetorp, Mikel Artetxe, Marta R. Costa-jussà
Gender-specific Machine Translation with Large Language Models. CoRR (2023)
Jiayi Wang, David Ifeoluwa Adelani, Sweta Agrawal, Ricardo Rei, Eleftheria Briakou, Marine Carpuat, Marek Masiak, Xuanli He, Sofia Bourhim, Andiswa Bukula, Muhidin Mohamed, Temitayo Olatoye, Hamam Mokayed, Christine Mwase, Wangui Kimotho, Foutse Yuehgoh, Aremu Anuoluwapo, Jessica Ojo, Shamsuddeen Hassan Muhammad, Salomey Osei, Abdul-Hakeem Omotayo, Chiamaka Chukwuneke, Perez Ogayo, Oumaima Hourrane, Salma El Anigri, Lolwethu Ndolela, Thabiso Mangwana, Shafie Abdi Mohamed, Ayinde Hassan, Oluwabusayo Olufunke Awoyomi, Lama Alkhaled, Sana Sabah Al-Azzawi, Naome A. Etori, Millicent Ochieng, Clemencia Siro, Samuel Njoroge, Eric Muchiri, Wangari Kimotho, Lyse Naomi Wamba Momo, Daud Abolade, Simbiat Ajao, Tosin P. Adewumi, Iyanuoluwa Shode, Ricky Macharm, Ruqayya Nasir Iro, Saheed S. Abdullahi, Stephen E. Moore, Bernard Opoku, Zainab Akinjobi, Afolabi Abeeb, Nnaemeka C. Obiefuna, Onyekachi Raphael Ogbu, Sam Brian, Verrah Akinyi Otiende, Chinedu Emmanuel Mbonu, Sakayo Toadoum Sari, Pontus Stenetorp
AfriMTE and AfriCOMET: Empowering COMET to Embrace Under-resourced African Languages. CoRR (2023)
Linqing Liu, Minghan Li, Jimmy Lin, Sebastian Riedel, Pontus Stenetorp
Query Expansion Using Contextual Clue Sampling with Language Models. CoRR (2022)
Max Bartolo, Tristan Thrush, Sebastian Riedel, Pontus Stenetorp, Robin Jia, Douwe Kiela
Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants. NAACL-HLT (2022)
Yuxiang Wu, Yu Zhao, Baotian Hu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks. CoRR (2022)
Yuxiang Wu, Matt Gardner, Pontus Stenetorp, Pradeep Dasigi
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets. ACL (1) (2022)
Yuxiang Wu, Yu Zhao, Baotian Hu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks. EMNLP (2022)
Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective. NeurIPS (2022)
Saadullah Amin, Pasquale Minervini, David Chang, Pontus Stenetorp, Guenter Neumann
MedDistant19: Towards an Accurate Benchmark for Broad-Coverage Biomedical Relation Extraction. COLING (2022)
Saadullah Amin, Pasquale Minervini, David Chang, Günter Neumann, Pontus Stenetorp
MedDistant19: A Challenging Benchmark for Distantly Supervised Biomedical Relation Extraction. CoRR (2022)
Yuxiang Wu, Matt Gardner, Pontus Stenetorp, Pradeep Dasigi
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets. CoRR (2022)
Alan Jeffares, Qinghai Guo, Pontus Stenetorp, Timoleon Moraitis
Spike-inspired rank coding for fast and accurate recurrent neural networks. ICLR (2022)
Linqing Liu, Patrick Lewis, Sebastian Riedel, Pontus Stenetorp
Challenges in Generalization in Open Domain Question Answering. NAACL-HLT (Findings) (2022)
Yao Lu, Max Bartolo, Alastair Moore, Sebastian Riedel, Pontus Stenetorp
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity. ACL (1) (2022)
Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
ReFactorGNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective. CoRR (2022)
Patrick S. H. Lewis, Pontus Stenetorp, Sebastian Riedel
Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets. EACL (2021)
Maximilian Mozes, Max Bartolo, Pontus Stenetorp, Bennett Kleinberg, Lewis D. Griffin
Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification. EMNLP (1) (2021)
Sameh K. Mohamed, Brian Walsh, Mohan Timilsina, Vít Novácek, Maria Torrente, Fabio Franco, Mariano Provencio, Adrianna Janik, Luca Costabello, Pontus Stenetorp, Pasquale Minervini
On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer. AMIA (2021)
Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, Adina Williams
Dynabench: Rethinking Benchmarking in NLP. NAACL-HLT (2021)
Max Bartolo, Tristan Thrush, Robin Jia, Sebastian Riedel, Pontus Stenetorp, Douwe Kiela
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation. CoRR (2021)
Saku Sugawara, Pontus Stenetorp, Akiko Aizawa
Benchmarking Machine Reading Comprehension: A Psychological Perspective. EACL (2021)
Linqing Liu, Patrick S. H. Lewis, Sebastian Riedel, Pontus Stenetorp
Challenges in Generalization in Open Domain Question Answering. CoRR (2021)
Patrick S. H. Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini, Heinrich Küttler, Aleksandra Piktus, Pontus Stenetorp, Sebastian Riedel
PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them. CoRR (2021)
Max Bartolo, Tristan Thrush, Sebastian Riedel, Pontus Stenetorp, Robin Jia, Douwe Kiela
Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants. CoRR (2021)
Maximilian Mozes, Max Bartolo, Pontus Stenetorp, Bennett Kleinberg, Lewis D. Griffin
Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification. CoRR (2021)
Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, Adina Williams
Dynabench: Rethinking Benchmarking in NLP. CoRR (2021)
Chien-Sheng Wu, Linqing Liu, Wenhao Liu, Pontus Stenetorp, Caiming Xiong
Controllable Abstractive Dialogue Summarization with Sketch Supervision. CoRR (2021)
Alan Jeffares, Qinghai Guo, Pontus Stenetorp, Timoleon Moraitis
Spike-inspired Rank Coding for Fast and Accurate Recurrent Neural Networks. CoRR (2021)
Yihong Chen, Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations. CoRR (2021)
Yao Lu, Max Bartolo, Alastair Moore, Sebastian Riedel, Pontus Stenetorp
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity. CoRR (2021)
Patrick S. H. Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini, Heinrich Küttler, Aleksandra Piktus, Pontus Stenetorp, Sebastian Riedel
PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them. Trans. Assoc. Comput. Linguistics 9 (2021)
Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints. CoRR (2021)
Max Bartolo, Tristan Thrush, Robin Jia, Sebastian Riedel, Pontus Stenetorp, Douwe Kiela
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation. EMNLP (1) (2021)
Maximilian Mozes, Pontus Stenetorp, Bennett Kleinberg, Lewis D. Griffin
Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples. EACL (2021)
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 (2021)
Chien-Sheng Wu, Linqing Liu, Wenhao Liu, Pontus Stenetorp, Caiming Xiong
Controllable Abstractive Dialogue Summarization with Sketch Supervision. ACL/IJCNLP (Findings) (2021)
Yihong Chen, Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations. AKBC (2021)
Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints. ACL/IJCNLP (2) (2021)
Max Bartolo, Alastair Roberts, Johannes Welbl, Sebastian Riedel, Pontus Stenetorp
Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension. Trans. Assoc. Comput. Linguistics 8 (2020)
Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel
Learning Reasoning Strategies in End-to-End Differentiable Proving. ICML (2020)
Yuxiang Wu, Sebastian Riedel, Pasquale Minervini, Pontus Stenetorp
Don't Read Too Much into It: Adaptive Computation for Open-Domain Question Answering. CoRR (2020)
Saku Sugawara, Pontus Stenetorp, Kentaro Inui, Akiko Aizawa
Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets. AAAI (2020)
Saku Sugawara, Pontus Stenetorp, Akiko Aizawa
Prerequisites for Explainable Machine Reading Comprehension: A Position Paper. CoRR (2020)
Johannes Welbl, Pasquale Minervini, Max Bartolo, Pontus Stenetorp, Sebastian Riedel
Undersensitivity in Neural Reading Comprehension. CoRR (2020)
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)
Max Bartolo, Alastair Roberts, Johannes Welbl, Sebastian Riedel, Pontus Stenetorp
Beat the AI: Investigating Adversarial Human Annotations for Reading Comprehension. CoRR (2020)
Naoya Inoue, Pontus Stenetorp, Kentaro Inui
R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right Reason. ACL (2020)
Patrick S. H. Lewis, Pontus Stenetorp, Sebastian Riedel
Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets. CoRR (2020)
Yuxiang Wu, Sebastian Riedel, Pasquale Minervini, Pontus Stenetorp
Don't Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering. EMNLP (1) (2020)
Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel
Learning Reasoning Strategies in End-to-End Differentiable Proving. CoRR (2020)
Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
Don't Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering. SustaiNLP@EMNLP (2020)
Johannes Welbl, Pasquale Minervini, Max Bartolo, Pontus Stenetorp, Sebastian Riedel
Undersensitivity in Neural Reading Comprehension. EMNLP (Findings) (2020)
Maximilian Mozes, Pontus Stenetorp, Bennett Kleinberg, Lewis D. Griffin
Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples. CoRR (2020)
Marcin Kardas, Piotr Czapla, Pontus Stenetorp, Sebastian Ruder, Sebastian Riedel, Ross Taylor, Robert Stojnic
AxCell: Automatic Extraction of Results from Machine Learning Papers. EMNLP (1) (2020)
Marcin Kardas, Piotr Czapla, Pontus Stenetorp, Sebastian Ruder, Sebastian Riedel, Ross Taylor, Robert Stojnic
AxCell: Automatic Extraction of Results from Machine Learning Papers. CoRR (2020)
Saku Sugawara, Pontus Stenetorp, Kentaro Inui, Akiko Aizawa
Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets. CoRR (2019)
Tom Crossland, Pontus Stenetorp, Sebastian Riedel, Daisuke Kawata, Thomas D. Kitching, Rupert Croft
Towards Machine-assisted Meta-Studies: The Hubble Constant. CoRR (2019)
Naoya Inoue, Pontus Stenetorp, Kentaro Inui
RC-QED: Evaluating Natural Language Derivations in Multi-Hop Reading Comprehension. CoRR (2019)
Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
Convolutional 2D Knowledge Graph Embeddings. AAAI (2018)
Sudhanshu Kasewa, Pontus Stenetorp, Sebastian Riedel
Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection. EMNLP (2018)
Dirk Weissenborn, Pasquale Minervini, Tim Dettmers, Isabelle Augenstein, Johannes Welbl, Tim Rocktäschel, Matko Bosnjak, Jeff Mitchell, Thomas Demeester, Pontus Stenetorp, Sebastian Riedel
Jack the Reader - A Machine Reading Framework. CoRR (2018)
Spiros C. Denaxas, Pontus Stenetorp, Sebastian Riedel, Maria Pikoula, Richard J. B. Dobson, Harry Hemingway
Application of Clinical Concept Embeddings for Heart Failure Prediction in UK EHR data. CoRR (2018)
Johannes Welbl, Pontus Stenetorp, Sebastian Riedel
Constructing Datasets for Multi-hop Reading Comprehension Across Documents. Trans. Assoc. Comput. Linguistics 6 (2018)
Jeff Mitchell, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
Extrapolation in NLP. CoRR (2018)
Sudhanshu Kasewa, Pontus Stenetorp, Sebastian Riedel
Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection. CoRR (2018)
Takuma Yoneda, Jeff Mitchell, Johannes Welbl, Pontus Stenetorp, Sebastian Riedel
UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF). FEVER@EMNLP (2018)
Dirk Weissenborn, Pasquale Minervini, Isabelle Augenstein, Johannes Welbl, Tim Rocktäschel, Matko Bosnjak, Jeff Mitchell, Thomas Demeester, Tim Dettmers, Pontus Stenetorp, Sebastian Riedel
Jack the Reader - A Machine Reading Framework. ACL (4) (2018)
Jishnu Mukhoti, Pontus Stenetorp, Yarin Gal
On the Importance of Strong Baselines in Bayesian Deep Learning. CoRR (2018)
Johannes Welbl, Pontus Stenetorp, Sebastian Riedel
Constructing Datasets for Multi-hop Reading Comprehension Across Documents. CoRR (2017)
Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui, Sebastian Riedel
Neural Architectures for Fine-grained Entity Type Classification. EACL (1) (2017)
Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
Convolutional 2D Knowledge Graph Embeddings. CoRR (2017)
Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui, Sebastian Riedel
An Attentive Neural Architecture for Fine-grained Entity Type Classification. CoRR (2016)
Mark Neumann, Pontus Stenetorp, Sebastian Riedel
Learning to Reason With Adaptive Computation. CoRR (2016)
Jonathan Godwin, Pontus Stenetorp, Sebastian Riedel
Deep Semi-Supervised Learning with Linguistically Motivated Sequence Labeling Task Hierarchies. CoRR (2016)
Guillaume Bouchard, Pontus Stenetorp, Sebastian Riedel
Learning to Generate Textual Data. EMNLP (2016)
Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui, Sebastian Riedel
Neural Architectures for Fine-grained Entity Type Classification. CoRR (2016)
Iuliana-Elena Parasca, Andreas Lukas Rauter, Jack Roper, Aleksandar Rusinov, Guillaume Bouchard, Sebastian Riedel, Pontus Stenetorp
Defining Words with Words: Beyond the Distributional Hypothesis. RepEval@ACL (2016)
Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui, Sebastian Riedel
An Attentive Neural Architecture for Fine-grained Entity Type Classification. AKBC@NAACL-HLT (2016)
Hubert Soyer, Pontus Stenetorp, Akiko Aizawa
Leveraging Monolingual Data for Crosslingual Compositional Word Representations. ICLR (Poster) (2015)
Hubert Soyer, Goran Topic, Pontus Stenetorp, Akiko Aizawa
CroVeWA: Crosslingual Vector-Based Writing Assistance. HLT-NAACL (2015)

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Pontus Stenetorp