Pontus Stenetorp

137 papers A* 13A 4B 2Misc 1Journal 73Unranked 43

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AIRA_2: Overcoming Bottlenecks in AI Research Agents. CoRR Karen Hambardzumyan, Nicolas Mario Baldwin, Edan Toledo, Rishi Hazra, Michael Kuchnik, Bassel Al Omari, Thomas Foster, Anton Protopopov, Jean-Christophe Gagnon-Audet, Ishita Mediratta, Kelvin Niu, Michael Shvartsman, Alisia Maria Lupidi, Alexis Audran-Reiss, Parth Pathak, Tatiana Shavrina, Despoina Magka, Hela Momand, Derek Dunfield, Nicola Cancedda, Pontus Stenetorp, Carole-Jean Wu, Jakob Nicolaus Foerster, Yoram Bachrach, Martin Josifoski
2026	J	`jnl`	ShapleyLaw: A Game-Theoretic Approach to Multilingual Scaling Laws. CoRR Xuyang Cao, Qianying Liu, Chuan Xiao, Yusuke Oda, Pontus Stenetorp, Daisuke Kawahara, Makoto Onizuka, Sadao Kurohashi, Shuyuan Zheng
2026	J	`jnl`	The Role of Mixed-Language Documents for Multilingual Large Language Model Pretraining. CoRR Jiandong Shao, Raphael Tang, Crystina Zhang, Karin Sevegnani, Pontus Stenetorp, Jianfei Yang, Yao Lu
2025	J	`jnl`	AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench. CoRR Edan Toledo, Karen Hambardzumyan, Martin Josifoski, Rishi Hazra, Nicolas Mario Baldwin, Alexis Audran-Reiss, Michael Kuchnik, Despoina Magka, Minqi Jiang, Alisia Maria Lupidi, Andrei Lupu, Roberta Raileanu, Kelvin Niu, Tatiana Shavrina, Jean-Christophe Gagnon-Audet, Michael Shvartsman, Shagun Sodhani, Alexander H. Miller, Abhishek Charnalia, Derek Dunfield, Carole-Jean Wu, Pontus Stenetorp, Nicola Cancedda, Jakob Nicolaus Foerster, Yoram Bachrach
2025	—	`conf`	AfroBench: How Good are Large Language Models on African Languages? ACL (Findings) Jessica Ojo, Odunayo Ogundepo, Akintunde Oladipo, Kelechi Ogueji, Jimmy Lin, Pontus Stenetorp, David Ifeoluwa Adelani
2025	J	`jnl`	Drawing Conclusions from Draws: Rethinking Preference Semantics in Arena-Style LLM Evaluation. CoRR Raphael Tang, Crystina Zhang, Wenyan Li, Carmen Lai, Pontus Stenetorp, Yao Lu
2025	—	`conf`	IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models. NAACL (Long Papers) David Ifeoluwa Adelani, Jessica Ojo, Israel Abebe Azime, Jian Yun Zhuang, Jesujoba Oluwadara Alabi, Xuanli He, Millicent Ochieng, Sara Hooker, Andiswa Bukula, En-Shiun Annie Lee, Chiamaka Ijeoma Chukwuneke, Happy Buzaaba, Blessing K. Sibanda, Godson Koffi Kalipe, Jonathan Mukiibi, Salomon Kabongo Kabenamualu, Foutse Yuehgoh, Mmasibidi Setaka, Lolwethu Ndolela, Nkiruka Odu, Rooweither Mabuya, Salomey Osei, Shamsuddeen Hassan Muhammad, Sokhar Samb, Tadesse Kebede Guge, Tombekai Vangoni Sherman, Pontus Stenetorp
2025	—	`conf`	Lost in Inference: Rediscovering the Role of Natural Language Inference for Large Language Models. NAACL (Long Papers) Lovish Madaan, David Esiobu, Pontus Stenetorp, Barbara Plank, Dieuwke Hupkes
2025	A*	`conf`	Multilingual Language Model Pretraining using Machine-translated Data. EMNLP Jiayi Wang, Yao Lu, Maurice Weber, Max Ryabinin, David Ifeoluwa Adelani, Yihong Chen, Raphael Tang, Pontus Stenetorp
2025	J	`jnl`	Multilingual Language Model Pretraining using Machine-translated Data. CoRR Jiayi Wang, Yao Lu, Maurice Weber, Max Ryabinin, David Ifeoluwa Adelani, Yihong Chen, Raphael Tang, Pontus Stenetorp
2025	A*	`conf`	SSA-COMET: Do LLMs Outperform Learned Metrics in Evaluating MT for Under-Resourced African Languages? EMNLP Senyu Li, Jiayi Wang, Felermino D. M. A. Ali, Colin Cherry, Daniel Deutsch, Eleftheria Briakou, Rui Sousa-Silva, Henrique Lopes Cardoso, Pontus Stenetorp, David Ifeoluwa Adelani
2025	J	`jnl`	SSA-COMET: Do LLMs Outperform Learned Metrics in Evaluating MT for Under-Resourced African Languages? CoRR Senyu Li, Jiayi Wang, Felermino D. M. A. Ali, Colin Cherry, Daniel Deutsch, Eleftheria Briakou, Rui Sousa-Silva, Henrique Lopes Cardoso, Pontus Stenetorp, David Ifeoluwa Adelani
2025	—	`conf`	TUBA: Cross-Lingual Transferability of Backdoor Attacks in LLMs with Instruction Tuning. ACL (Findings) Xuanli He, Jun Wang, Qiongkai Xu, Pasquale Minervini, Pontus Stenetorp, Benjamin I. P. Rubinstein, Trevor Cohn
2025	J	`jnl`	Translate, then Detect: Leveraging Machine Translation for Cross-Lingual Toxicity Classification. CoRR Samuel J. Bell, Eduardo Sánchez, David Dale, Pontus Stenetorp, Mikel Artetxe, Marta R. Costa-jussà
2025	—	`conf`	Warmup Generations: A Task-Agnostic Approach for Guiding Sequence-to-Sequence Learning with Unsupervised Initial State Generation. ACL (1) Senyu Li, Zipeng Sun, Jiayi Wang, Xue Liu, Pontus Stenetorp, Siva Reddy, David Ifeoluwa Adelani
2025	J	`jnl`	Warmup Generations: A Task-Agnostic Approach for Guiding Sequence-to-Sequence Learning with Unsupervised Initial State Generation. CoRR Senyu Li, Zipeng Sun, Jiayi Wang, Xue Liu, Pontus Stenetorp, Siva Reddy, David Ifeoluwa Adelani
2024	—	`conf`	AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages. NAACL-HLT 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 Raphael Ogbu, Sam Ochieng', Verrah Otiende, Chinedu E. Mbonu, Yao Lu, Pontus Stenetorp
2024	—	`conf`	Evaluating WMT 2024 Metrics Shared Task Submissions on AfriMTE (the African Challenge Set). WMT Jiayi Wang, David Ifeoluwa Adelani, Pontus Stenetorp
2024	J	`jnl`	IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models. CoRR 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
2024	J	`jnl`	Jet Expansions of Residual Computation. CoRR Yihong Chen, Xiangxiang Xu, Yao Lu, Pontus Stenetorp, Luca Franceschi
2024	J	`jnl`	Linguini: A benchmark for language-agnostic linguistic reasoning. CoRR Eduardo Sánchez, Belen Alastruey, Christophe Ropers, Pontus Stenetorp, Mikel Artetxe, Marta R. Costa-jussà
2024	J	`jnl`	Lost in Inference: Rediscovering the Role of Natural Language Inference for Large Language Models. CoRR Lovish Madaan, David Esiobu, Pontus Stenetorp, Barbara Plank, Dieuwke Hupkes
2024	—	`conf`	Machine Translation Hallucination Detection for Low and High Resource Languages using Large Language Models. EMNLP (Findings) Kenza Benkirane, Laura Gongas, Shahar Pelles, Naomi Fuchs, Joshua Darmon, Pontus Stenetorp, David Ifeoluwa Adelani, Eduardo Sánchez
2024	J	`jnl`	Machine Translation Hallucination Detection for Low and High Resource Languages using Large Language Models. CoRR Kenza Benkirane, Laura Gongas, Shahar Pelles, Naomi Fuchs, Joshua Darmon, Pontus Stenetorp, David Ifeoluwa Adelani, Eduardo Sánchez
2024	J	`jnl`	Multilingual Pretraining Using a Large Corpus Machine-Translated from a Single Source Language. CoRR Jiayi Wang, Yao Lu, Maurice Weber, Max Ryabinin, Yihong Chen, Raphael Tang, Pontus Stenetorp
2024	J	`jnl`	PISTOL: Dataset Compilation Pipeline for Structural Unlearning of LLMs. CoRR Xinchi Qiu, William F. Shen, Yihong Chen, Nicola Cancedda, Pontus Stenetorp, Nicholas D. Lane
2024	—	`conf`	Quantifying Generative Media Bias with a Corpus of Real-world and Generated News Articles. EMNLP (Findings) Filip Trhlík, Pontus Stenetorp
2024	J	`jnl`	Quantifying Generative Media Bias with a Corpus of Real-world and Generated News Articles. CoRR Filip Trhlík, Pontus Stenetorp
2024	J	`jnl`	Quantifying Variance in Evaluation Benchmarks. CoRR Lovish Madaan, Aaditya K. Singh, Rylan Schaeffer, Andrew Poulton, Sanmi Koyejo, Pontus Stenetorp, Sharan Narang, Dieuwke Hupkes
2024	—	`conf`	Strings from the Library of Babel: Random Sampling as a Strong Baseline for Prompt Optimisation. NAACL-HLT Yao Lu, Jiayi Wang, Raphael Tang, Sebastian Riedel, Pontus Stenetorp
2024	J	`jnl`	Transferring Troubles: Cross-Lingual Transferability of Backdoor Attacks in LLMs with Instruction Tuning. CoRR Xuanli He, Jun Wang, Qiongkai Xu, Pasquale Minervini, Pontus Stenetorp, Benjamin I. P. Rubinstein, Trevor Cohn
2024	—	`conf`	Using Natural Language Explanations to Improve Robustness of In-context Learning. ACL (1) Xuanli He, Yuxiang Wu, Oana-Maria Camburu, Pasquale Minervini, Pontus Stenetorp
2024	A*	`conf`	Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation. EMNLP Raphael Tang, Xinyu Zhang, Lixinyu Xu, Yao Lu, Wenyan Li, Pontus Stenetorp, Jimmy Lin, Ferhan Ture
2024	J	`jnl`	Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation. CoRR Raphael Tang, Xinyu Zhang, Lixinyu Xu, Yao Lu, Wenyan Li, Pontus Stenetorp, Jimmy Lin, Ferhan Ture
2023	J	`jnl`	AfriMTE and AfriCOMET: Empowering COMET to Embrace Under-resourced African Languages. CoRR 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
2023	J	`jnl`	Gender-specific Machine Translation with Large Language Models. CoRR Eduardo Sánchez, Pierre Andrews, Pontus Stenetorp, Mikel Artetxe, Marta R. Costa-jussà
2023	J	`jnl`	Graph Attention with Hierarchies for Multi-hop Question Answering. CoRR Yunjie He, Philip John Gorinski, Ieva Staliunaite, Pontus Stenetorp
2023	J	`jnl`	How good are Large Language Models on African Languages? CoRR Jessica Ojo, Kelechi Ogueji, Pontus Stenetorp, David Ifeoluwa Adelani
2023	J	`jnl`	Improving Language Plasticity via Pretraining with Active Forgetting. CoRR Yihong Chen, Kelly Marchisio, Roberta Raileanu, David Ifeoluwa Adelani, Pontus Stenetorp, Sebastian Riedel, Mikel Artetxe
2023	—	`conf`	MasakhaNEWS: News Topic Classification for African languages. IJCNLP (1) 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
2023	J	`jnl`	MasakhaNEWS: News Topic Classification for African languages. CoRR 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
2023	J	`jnl`	Non-parametric, Nearest-neighbor-assisted Fine-tuning for Neural Machine Translation. CoRR Jiayi Wang, Ke Wang, Yuqi Zhang, Yu Zhao, Pontus Stenetorp
2023	J	`jnl`	Prompt Optimisation with Random Sampling. CoRR Yao Lu, Jiayi Wang, Sebastian Riedel, Pontus Stenetorp
2023	J	`jnl`	Using Natural Language Explanations to Improve Robustness of In-context Learning for Natural Language Inference. CoRR Xuanli He, Yuxiang Wu, Oana-Maria Camburu, Pasquale Minervini, Pontus Stenetorp
2023	—	`conf`	What the DAAM: Interpreting Stable Diffusion Using Cross Attention. ACL (1) Raphael Tang, Linqing Liu, Akshat Pandey, Zhiying Jiang, Gefei Yang, Karun Kumar, Pontus Stenetorp, Jimmy Lin, Ferhan Ture
2022	A*	`conf`	An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks. EMNLP Yuxiang Wu, Yu Zhao, Baotian Hu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2022	J	`jnl`	An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks. CoRR Yuxiang Wu, Yu Zhao, Baotian Hu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2022	—	`conf`	Challenges in Generalization in Open Domain Question Answering. NAACL-HLT (Findings) Linqing Liu, Patrick Lewis, Sebastian Riedel, Pontus Stenetorp
2022	—	`conf`	Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity. ACL (1) Yao Lu, Max Bartolo, Alastair Moore, Sebastian Riedel, Pontus Stenetorp
2022	—	`conf`	Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets. ACL (1) Yuxiang Wu, Matt Gardner, Pontus Stenetorp, Pradeep Dasigi
2022	J	`jnl`	Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets. CoRR Yuxiang Wu, Matt Gardner, Pontus Stenetorp, Pradeep Dasigi
2022	J	`jnl`	MedDistant19: A Challenging Benchmark for Distantly Supervised Biomedical Relation Extraction. CoRR Saadullah Amin, Pasquale Minervini, David Chang, Günter Neumann, Pontus Stenetorp
2022	B	`conf`	MedDistant19: Towards an Accurate Benchmark for Broad-Coverage Biomedical Relation Extraction. COLING Saadullah Amin, Pasquale Minervini, David Chang, Pontus Stenetorp, Guenter Neumann
2022	—	`conf`	Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants. NAACL-HLT Max Bartolo, Tristan Thrush, Sebastian Riedel, Pontus Stenetorp, Robin Jia, Douwe Kiela
2022	J	`jnl`	Query Expansion Using Contextual Clue Sampling with Language Models. CoRR Linqing Liu, Minghan Li, Jimmy Lin, Sebastian Riedel, Pontus Stenetorp
2022	A*	`conf`	ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective. NeurIPS Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2022	J	`jnl`	ReFactorGNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective. CoRR Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2022	A*	`conf`	Spike-inspired rank coding for fast and accurate recurrent neural networks. ICLR Alan Jeffares, Qinghai Guo, Pontus Stenetorp, Timoleon Moraitis
2021	A	`conf`	Benchmarking Machine Reading Comprehension: A Psychological Perspective. EACL Saku Sugawara, Pontus Stenetorp, Akiko Aizawa
2021	J	`jnl`	Challenges in Generalization in Open Domain Question Answering. CoRR Linqing Liu, Patrick Lewis, Sebastian Riedel, Pontus Stenetorp
2021	—	`conf`	Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification. EMNLP (1) Maximilian Mozes, Max Bartolo, Pontus Stenetorp, Bennett Kleinberg, Lewis D. Griffin
2021	J	`jnl`	Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification. CoRR Maximilian Mozes, Max Bartolo, Pontus Stenetorp, Bennett Kleinberg, Lewis D. Griffin
2021	—	`conf`	Controllable Abstractive Dialogue Summarization with Sketch Supervision. ACL/IJCNLP (Findings) Chien-Sheng Wu, Linqing Liu, Wenhao Liu, Pontus Stenetorp, Caiming Xiong
2021	J	`jnl`	Controllable Abstractive Dialogue Summarization with Sketch Supervision. CoRR Chien-Sheng Wu, Linqing Liu, Wenhao Liu, Pontus Stenetorp, Caiming Xiong
2021	—	`conf`	Dynabench: Rethinking Benchmarking in NLP. NAACL-HLT 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
2021	J	`jnl`	Dynabench: Rethinking Benchmarking in NLP. CoRR 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
2021	J	`jnl`	Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity. CoRR Yao Lu, Max Bartolo, Alastair Moore, Sebastian Riedel, Pontus Stenetorp
2021	A	`conf`	Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples. EACL Maximilian Mozes, Pontus Stenetorp, Bennett Kleinberg, Lewis D. Griffin
2021	—	`conf`	Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation. EMNLP (1) Max Bartolo, Tristan Thrush, Robin Jia, Sebastian Riedel, Pontus Stenetorp, Douwe Kiela
2021	J	`jnl`	Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation. CoRR Max Bartolo, Tristan Thrush, Robin Jia, Sebastian Riedel, Pontus Stenetorp, Douwe Kiela
2021	—	`ch.`	Learning Reasoning Strategies in End-to-End Differentiable Proving. Neuro-Symbolic Artificial Intelligence Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel
2021	J	`jnl`	Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants. CoRR Max Bartolo, Tristan Thrush, Sebastian Riedel, Pontus Stenetorp, Robin Jia, Douwe Kiela
2021	J	`jnl`	NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR 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 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
2021	Misc	`conf`	On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer. AMIA Sameh K. Mohamed, Brian Walsh, Mohan Timilsina, Vít Novácek, Maria Torrente, Fabio Franco, Mariano Provencio, Adrianna Janik, Luca Costabello, Pontus Stenetorp, Pasquale Minervini
2021	J	`jnl`	PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them. CoRR Patrick Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini, Heinrich Küttler, Aleksandra Piktus, Pontus Stenetorp, Sebastian Riedel
2021	J	`jnl`	PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them. Trans. Assoc. Comput. Linguistics Patrick Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini, Heinrich Küttler, Aleksandra Piktus, Pontus Stenetorp, Sebastian Riedel
2021	A	`conf`	Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets. EACL Patrick Lewis, Pontus Stenetorp, Sebastian Riedel
2021	—	`conf`	Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations. AKBC Yihong Chen, Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp
2021	J	`jnl`	Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations. CoRR Yihong Chen, Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp
2021	J	`jnl`	Spike-inspired Rank Coding for Fast and Accurate Recurrent Neural Networks. CoRR Alan Jeffares, Qinghai Guo, Pontus Stenetorp, Timoleon Moraitis
2021	—	`conf`	Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints. ACL/IJCNLP (2) Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2021	J	`jnl`	Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints. CoRR Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2020	A*	`conf`	Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets. AAAI Saku Sugawara, Pontus Stenetorp, Kentaro Inui, Akiko Aizawa
2020	—	`conf`	AxCell: Automatic Extraction of Results from Machine Learning Papers. EMNLP (1) Marcin Kardas, Piotr Czapla, Pontus Stenetorp, Sebastian Ruder, Sebastian Riedel, Ross Taylor, Robert Stojnic
2020	J	`jnl`	AxCell: Automatic Extraction of Results from Machine Learning Papers. CoRR Marcin Kardas, Piotr Czapla, Pontus Stenetorp, Sebastian Ruder, Sebastian Riedel, Ross Taylor, Robert Stojnic
2020	J	`jnl`	Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension. Trans. Assoc. Comput. Linguistics Max Bartolo, Alastair Roberts, Johannes Welbl, Sebastian Riedel, Pontus Stenetorp
2020	J	`jnl`	Beat the AI: Investigating Adversarial Human Annotations for Reading Comprehension. CoRR Max Bartolo, Alastair Roberts, Johannes Welbl, Sebastian Riedel, Pontus Stenetorp
2020	—	`conf`	Don't Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering. SustaiNLP@EMNLP Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2020	—	`conf`	Don't Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering. EMNLP (1) Yuxiang Wu, Sebastian Riedel, Pasquale Minervini, Pontus Stenetorp
2020	J	`jnl`	Don't Read Too Much into It: Adaptive Computation for Open-Domain Question Answering. CoRR Yuxiang Wu, Sebastian Riedel, Pasquale Minervini, Pontus Stenetorp
2020	J	`jnl`	Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples. CoRR Maximilian Mozes, Pontus Stenetorp, Bennett Kleinberg, Lewis D. Griffin
2020	A*	`conf`	Learning Reasoning Strategies in End-to-End Differentiable Proving. ICML Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel
2020	J	`jnl`	Learning Reasoning Strategies in End-to-End Differentiable Proving. CoRR Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel
2020	—	`conf`	NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) 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 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
2020	J	`jnl`	Prerequisites for Explainable Machine Reading Comprehension: A Position Paper. CoRR Saku Sugawara, Pontus Stenetorp, Akiko Aizawa
2020	J	`jnl`	Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets. CoRR Patrick Lewis, Pontus Stenetorp, Sebastian Riedel
2020	A*	`conf`	R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right Reason. ACL Naoya Inoue, Pontus Stenetorp, Kentaro Inui
2020	—	`conf`	Undersensitivity in Neural Reading Comprehension. EMNLP (Findings) Johannes Welbl, Pasquale Minervini, Max Bartolo, Pontus Stenetorp, Sebastian Riedel
2020	J	`jnl`	Undersensitivity in Neural Reading Comprehension. CoRR Johannes Welbl, Pasquale Minervini, Max Bartolo, Pontus Stenetorp, Sebastian Riedel
2019	J	`jnl`	Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets. CoRR Saku Sugawara, Pontus Stenetorp, Kentaro Inui, Akiko Aizawa
2019	J	`jnl`	RC-QED: Evaluating Natural Language Derivations in Multi-Hop Reading Comprehension. CoRR Naoya Inoue, Pontus Stenetorp, Kentaro Inui
2019	J	`jnl`	Towards Machine-assisted Meta-Studies: The Hubble Constant. CoRR Tom Crossland, Pontus Stenetorp, Sebastian Riedel, Daisuke Kawata, Thomas D. Kitching, Rupert Croft
2018	J	`jnl`	Application of Clinical Concept Embeddings for Heart Failure Prediction in UK EHR data. CoRR Spiros C. Denaxas, Pontus Stenetorp, Sebastian Riedel, Maria Pikoula, Richard J. B. Dobson, Harry Hemingway
2018	J	`jnl`	Constructing Datasets for Multi-hop Reading Comprehension Across Documents. Trans. Assoc. Comput. Linguistics Johannes Welbl, Pontus Stenetorp, Sebastian Riedel
2018	A*	`conf`	Convolutional 2D Knowledge Graph Embeddings. AAAI Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2018	J	`jnl`	Extrapolation in NLP. CoRR Jeff Mitchell, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2018	—	`conf`	Jack the Reader - A Machine Reading Framework. ACL (4) Dirk Weissenborn, Pasquale Minervini, Isabelle Augenstein, Johannes Welbl, Tim Rocktäschel, Matko Bosnjak, Jeff Mitchell, Thomas Demeester, Tim Dettmers, Pontus Stenetorp, Sebastian Riedel
2018	J	`jnl`	Jack the Reader - A Machine Reading Framework. CoRR Dirk Weissenborn, Pasquale Minervini, Tim Dettmers, Isabelle Augenstein, Johannes Welbl, Tim Rocktäschel, Matko Bosnjak, Jeff Mitchell, Thomas Demeester, Pontus Stenetorp, Sebastian Riedel
2018	J	`jnl`	On the Importance of Strong Baselines in Bayesian Deep Learning. CoRR Jishnu Mukhoti, Pontus Stenetorp, Yarin Gal
2018	—	`conf`	UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF). FEVER@EMNLP Takuma Yoneda, Jeff Mitchell, Johannes Welbl, Pontus Stenetorp, Sebastian Riedel
2018	A*	`conf`	Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection. EMNLP Sudhanshu Kasewa, Pontus Stenetorp, Sebastian Riedel
2018	J	`jnl`	Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection. CoRR Sudhanshu Kasewa, Pontus Stenetorp, Sebastian Riedel
2017	J	`jnl`	Constructing Datasets for Multi-hop Reading Comprehension Across Documents. CoRR Johannes Welbl, Pontus Stenetorp, Sebastian Riedel
2017	J	`jnl`	Convolutional 2D Knowledge Graph Embeddings. CoRR Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2017	—	`conf`	Neural Architectures for Fine-grained Entity Type Classification. EACL (1) Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui, Sebastian Riedel
2016	—	`conf`	An Attentive Neural Architecture for Fine-grained Entity Type Classification. AKBC@NAACL-HLT Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui, Sebastian Riedel
2016	J	`jnl`	An Attentive Neural Architecture for Fine-grained Entity Type Classification. CoRR Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui, Sebastian Riedel
2016	J	`jnl`	Deep Semi-Supervised Learning with Linguistically Motivated Sequence Labeling Task Hierarchies. CoRR Jonathan Godwin, Pontus Stenetorp, Sebastian Riedel
2016	—	`conf`	Defining Words with Words: Beyond the Distributional Hypothesis. RepEval@ACL Iuliana-Elena Parasca, Andreas Lukas Rauter, Jack Roper, Aleksandar Rusinov, Guillaume Bouchard, Sebastian Riedel, Pontus Stenetorp
2016	A*	`conf`	Learning to Generate Textual Data. EMNLP Guillaume Bouchard, Pontus Stenetorp, Sebastian Riedel
2016	J	`jnl`	Learning to Reason With Adaptive Computation. CoRR Mark Neumann, Pontus Stenetorp, Sebastian Riedel
2016	J	`jnl`	Neural Architectures for Fine-grained Entity Type Classification. CoRR Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui, Sebastian Riedel
2015	—	`conf`	CroVeWA: Crosslingual Vector-Based Writing Assistance. HLT-NAACL Hubert Soyer, Goran Topic, Pontus Stenetorp, Akiko Aizawa
2015	—	`conf`	Leveraging Monolingual Data for Crosslingual Compositional Word Representations. ICLR (Poster) Hubert Soyer, Pontus Stenetorp, Akiko Aizawa
2015	—	`conf`	Sharing annotations better: RESTful Open Annotation. ACL (System Demonstrations) Sampo Pyysalo, Jorge Campos, Juan Miguel Cejuela, Filip Ginter, Kai Hakala, Chen Li, Pontus Stenetorp, Lars Juhl Jensen
2015	B	`conf`	Task-Oriented Learning of Word Embeddings for Semantic Relation Classification. CoNLL Kazuma Hashimoto, Pontus Stenetorp, Makoto Miwa, Yoshimasa Tsuruoka
2015	J	`jnl`	Task-Oriented Learning of Word Embeddings for Semantic Relation Classification. CoRR Kazuma Hashimoto, Pontus Stenetorp, Makoto Miwa, Yoshimasa Tsuruoka
2014	J	`jnl`	Generalising semantic category disambiguation with large lexical resources for fun and profit. J. Biomed. Semant. Pontus Stenetorp, Sampo Pyysalo, Sophia Ananiadou, Jun'ichi Tsujii
2014	A*	`conf`	Jointly Learning Word Representations and Composition Functions Using Predicate-Argument Structures. EMNLP Kazuma Hashimoto, Pontus Stenetorp, Makoto Miwa, Yoshimasa Tsuruoka
2013	—	`conf`	BioNLP Shared Task 2013: Supporting Resources. BioNLP@ACL (Shared Task) Pontus Stenetorp, Wiktoria Golik, Thierry Hamon, Donald C. Comeau, Rezarta Islamaj Dogan, Haibin Liu, W. John Wilbur
2012	—	`conf`	Bridging the Gap Between Scope-based and Event-based Negation/Speculation Annotations: A Bridge Not Too Far. ExProM@ACL Pontus Stenetorp, Sampo Pyysalo, Tomoko Ohta, Sophia Ananiadou, Jun'ichi Tsujii
2012	—	`conf`	New Resources and Perspectives for Biomedical Event Extraction. BioNLP@HLT-NAACL Sampo Pyysalo, Pontus Stenetorp, Tomoko Ohta, Jin-Dong Kim, Sophia Ananiadou
2012	A	`conf`	brat: a Web-based Tool for NLP-Assisted Text Annotation. EACL Pontus Stenetorp, Sampo Pyysalo, Goran Topic, Tomoko Ohta, Sophia Ananiadou, Jun'ichi Tsujii
2011	—	`conf`	BioNLP Shared Task 2011: Supporting Resources. BioNLP@ACL (Shared Task) Pontus Stenetorp, Goran Topic, Sampo Pyysalo, Tomoko Ohta, Jin-Dong Kim, Jun'ichi Tsujii
2011	—	`conf`	SimSem: Fast Approximate String Matching in Relation to Semantic Category Disambiguation. BioNLP@ACL Pontus Stenetorp, Sampo Pyysalo, Jun'ichi Tsujii
2009	—	`conf`	A Novel Word Segmentation Approach for Written Languages with Word Boundary Markers. ACL/IJCNLP (2) Han-Cheol Cho, Do-Gil Lee, Jung-Tae Lee, Pontus Stenetorp, Jun'ichi Tsujii, Hae-Chang Rim
2009	—	`conf`	Evaluating Cases in Legal Disputes as Rival Theories. JSAI-isAI Workshops Pontus Stenetorp, Jason Jingshi Li