Johannes Welbl

43 papers A* 4Journal 25Unranked 11

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Scalable watermarking for identifying large language model outputs. Nat. Sumanth Dathathri, Abigail See, Sumedh Ghaisas, Po-Sen Huang, Rob McAdam, Johannes Welbl, Vandana Bachani, Alex Kaskasoli, Robert Stanforth, Tatiana Matejovicova, Jamie Hayes, Nidhi Vyas, Majd Al Merey, Jonah Brown-Cohen, Rudy Bunel, Borja Balle, A. Taylan Cemgil, Zahra Ahmed, Kitty Stacpoole, Ilia Shumailov, Ciprian Baetu, Sven Gowal, Demis Hassabis, Pushmeet Kohli
2023	J	`jnl`	Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation. CoRR Ryutaro Tanno, David G. T. Barrett, Andrew Sellergren, Sumedh Ghaisas, Sumanth Dathathri, Abigail See, Johannes Welbl, Karan Singhal, Shekoofeh Azizi, Tao Tu, Mike Schaekermann, Rhys May, Roy Lee, SiWai Man, Zahra Ahmed, S. Sara Mahdavi, Danielle Belgrave, Vivek Natarajan, Shravya Shetty, Pushmeet Kohli, Po-Sen Huang, Alan Karthikesalingam, Ira Ktena
2022	A*	`conf`	An empirical analysis of compute-optimal large language model training. NeurIPS Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de Las Casas, Lisa Anne Hendricks, Johannes Welbl, Aidan Clark, Tom Hennigan, Eric Noland, Katherine Millican, George van den Driessche, Bogdan Damoc, Aurelia Guy, Simon Osindero, Karen Simonyan, Erich Elsen, Oriol Vinyals, Jack W. Rae, Laurent Sifre
2022	A*	`conf`	Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models. NeurIPS Maribeth Rauh, John Mellor, Jonathan Uesato, Po-Sen Huang, Johannes Welbl, Laura Weidinger, Sumanth Dathathri, Amelia Glaese, Geoffrey Irving, Iason Gabriel, William Isaac, Lisa Anne Hendricks
2022	J	`jnl`	Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models. CoRR Maribeth Rauh, John Mellor, Jonathan Uesato, Po-Sen Huang, Johannes Welbl, Laura Weidinger, Sumanth Dathathri, Amelia Glaese, Geoffrey Irving, Iason Gabriel, William Isaac, Lisa Anne Hendricks
2022	J	`jnl`	Competition-Level Code Generation with AlphaCode. CoRR Yujia Li, David H. Choi, Junyoung Chung, Nate Kushman, Julian Schrittwieser, Rémi Leblond, Tom Eccles, James Keeling, Felix Gimeno, Agustin Dal Lago, Thomas Hubert, Peter Choy, Cyprien de Masson d'Autume, Igor Babuschkin, Xinyun Chen, Po-Sen Huang, Johannes Welbl, Sven Gowal, Alexey Cherepanov, James Molloy, Daniel J. Mankowitz, Esme Sutherland Robson, Pushmeet Kohli, Nando de Freitas, Koray Kavukcuoglu, Oriol Vinyals
2022	J	`jnl`	Training Compute-Optimal Large Language Models. CoRR Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de Las Casas, Lisa Anne Hendricks, Johannes Welbl, Aidan Clark, Tom Hennigan, Eric Noland, Katie Millican, George van den Driessche, Bogdan Damoc, Aurelia Guy, Simon Osindero, Karen Simonyan, Erich Elsen, Jack W. Rae, Oriol Vinyals, Laurent Sifre
2021	—	`conf`	Challenges in Detoxifying Language Models. EMNLP (Findings) Johannes Welbl, Amelia Glaese, Jonathan Uesato, Sumanth Dathathri, John Mellor, Lisa Anne Hendricks, Kirsty Anderson, Pushmeet Kohli, Ben Coppin, Po-Sen Huang
2021	J	`jnl`	Challenges in Detoxifying Language Models. CoRR Johannes Welbl, Amelia Glaese, Jonathan Uesato, Sumanth Dathathri, John Mellor, Lisa Anne Hendricks, Kirsty Anderson, Pushmeet Kohli, Ben Coppin, Po-Sen Huang
2021	J	`jnl`	Making sense of sensory input. Artif. Intell. Richard Evans, José Hernández-Orallo, Johannes Welbl, Pushmeet Kohli, Marek J. Sergot
2021	J	`jnl`	Scaling Language Models: Methods, Analysis & Insights from Training Gopher. CoRR Jack W. Rae, Sebastian Borgeaud, Trevor Cai, Katie Millican, Jordan Hoffmann, H. Francis Song, John Aslanides, Sarah Henderson, Roman Ring, Susannah Young, Eliza Rutherford, Tom Hennigan, Jacob Menick, Albin Cassirer, Richard Powell, George van den Driessche, Lisa Anne Hendricks, Maribeth Rauh, Po-Sen Huang, Amelia Glaese, Johannes Welbl, Sumanth Dathathri, Saffron Huang, Jonathan Uesato, John Mellor, Irina Higgins, Antonia Creswell, Nat McAleese, Amy Wu, Erich Elsen, Siddhant M. Jayakumar, Elena Buchatskaya, David Budden, Esme Sutherland, Karen Simonyan, Michela Paganini, Laurent Sifre, Lena Martens, Xiang Lorraine Li, Adhiguna Kuncoro, Aida Nematzadeh, Elena Gribovskaya, Domenic Donato, Angeliki Lazaridou, Arthur Mensch, Jean-Baptiste Lespiau, Maria Tsimpoukelli, Nikolai Grigorev, Doug Fritz, Thibault Sottiaux, Mantas Pajarskas, Toby Pohlen, Zhitao Gong, Daniel Toyama, Cyprien de Masson d'Autume, Yujia Li, Tayfun Terzi, Vladimir Mikulik, Igor Babuschkin, Aidan Clark, Diego de Las Casas, Aurelia Guy, Chris Jones, James Bradbury, Matthew J. Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William Isaac, Edward Lockhart, Simon Osindero, Laura Rimell, Chris Dyer, Oriol Vinyals, Kareem Ayoub, Jeff Stanway, Lorrayne Bennett, Demis Hassabis, Koray Kavukcuoglu, Geoffrey Irving
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	J	`jnl`	Evaluating the Apperception Engine. CoRR Richard Evans, José Hernández-Orallo, Johannes Welbl, Pushmeet Kohli, Marek J. Sergot
2020	—	`ed.`	Proceedings of the 5th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2020, Online, July 9, 2020 RepL4NLP@ACL Spandana Gella, Johannes Welbl, Marek Rei, Fabio Petroni, Patrick Lewis, Emma Strubell, Min Joon Seo, Hannaneh Hajishirzi
2020	—	`conf`	Reducing Sentiment Bias in Language Models via Counterfactual Evaluation. EMNLP (Findings) Po-Sen Huang, Huan Zhang, Ray Jiang, Robert Stanforth, Johannes Welbl, Jack Rae, Vishal Maini, Dani Yogatama, Pushmeet Kohli
2020	A*	`conf`	Towards Verified Robustness under Text Deletion Interventions. ICLR Johannes Welbl, Po-Sen Huang, Robert Stanforth, Sven Gowal, Krishnamurthy (Dj) Dvijotham, Martin Szummer, Pushmeet Kohli
2020	—	`—`	Training datasets for machine reading comprehension and their limitations. Johannes Welbl
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	—	`conf`	Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. EMNLP/IJCNLP (1) Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli
2019	J	`jnl`	Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. CoRR Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli
2019	J	`jnl`	Making sense of sensory input. CoRR Richard Evans, José Hernández-Orallo, Johannes Welbl, Pushmeet Kohli, Marek J. Sergot
2019	—	`ed.`	Proceedings of the 4th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2019, Florence, Italy, August 2, 2019. RepL4NLP@ACL Isabelle Augenstein, Spandana Gella, Sebastian Ruder, Katharina Kann, Burcu Can, Johannes Welbl, Alexis Conneau, Xiang Ren, Marek Rei
2019	J	`jnl`	Reducing Sentiment Bias in Language Models via Counterfactual Evaluation. CoRR Po-Sen Huang, Huan Zhang, Ray Jiang, Robert Stanforth, Johannes Welbl, Jack Rae, Vishal Maini, Dani Yogatama, Pushmeet Kohli
2018	J	`jnl`	Constructing Datasets for Multi-hop Reading Comprehension Across Documents. Trans. Assoc. Comput. Linguistics Johannes Welbl, 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	—	`conf`	UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF). FEVER@EMNLP Takuma Yoneda, Jeff Mitchell, Johannes Welbl, Pontus Stenetorp, Sebastian Riedel
2017	J	`jnl`	Constructing Datasets for Multi-hop Reading Comprehension Across Documents. CoRR Johannes Welbl, Pontus Stenetorp, Sebastian Riedel
2017	—	`conf`	Crowdsourcing Multiple Choice Science Questions. NUT@EMNLP Johannes Welbl, Nelson F. Liu, Matt Gardner
2017	J	`jnl`	Crowdsourcing Multiple Choice Science Questions. CoRR Johannes Welbl, Nelson F. Liu, Matt Gardner
2017	—	`conf`	Frustratingly Short Attention Spans in Neural Language Modeling. ICLR (Poster) Michal Daniluk, Tim Rocktäschel, Johannes Welbl, Sebastian Riedel
2017	J	`jnl`	Frustratingly Short Attention Spans in Neural Language Modeling. CoRR Michal Daniluk, Tim Rocktäschel, Johannes Welbl, Sebastian Riedel
2017	J	`jnl`	Knowledge Graph Completion via Complex Tensor Factorization. CoRR Théo Trouillon, Christopher R. Dance, Johannes Welbl, Sebastian Riedel, Éric Gaussier, Guillaume Bouchard
2017	J	`jnl`	Knowledge Graph Completion via Complex Tensor Factorization. J. Mach. Learn. Res. Théo Trouillon, Christopher R. Dance, Éric Gaussier, Johannes Welbl, Sebastian Riedel, Guillaume Bouchard
2016	—	`conf`	A Factorization Machine Framework for Testing Bigram Embeddings in Knowledgebase Completion. AKBC@NAACL-HLT Johannes Welbl, Guillaume Bouchard, Sebastian Riedel
2016	J	`jnl`	A Factorization Machine Framework for Testing Bigram Embeddings in Knowledgebase Completion. CoRR Johannes Welbl, Guillaume Bouchard, Sebastian Riedel
2016	A*	`conf`	Complex Embeddings for Simple Link Prediction. ICML Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, Guillaume Bouchard
2016	J	`jnl`	Complex Embeddings for Simple Link Prediction. CoRR Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, Guillaume Bouchard
2016	J	`jnl`	Neural Random Forests. CoRR Gérard Biau, Erwan Scornet, Johannes Welbl
2014	—	`conf`	Casting Random Forests as Artificial Neural Networks (and Profiting from It). GCPR Johannes Welbl
2014	—	`conf`	Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures. MICCAI (2) Melih Kandemir, José C. Rubio, Ute Schmidt, Christian Wojek, Johannes Welbl, Björn Ommer, Fred A. Hamprecht