Johannes Welbl

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 37

Top Topics

Multiple Choice

Tensor Factorization

Top Venues

EMNLP (Findings)

Trans. Assoc. Comput. Linguistics

Publications

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
Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation. CoRR (2023)
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
Training Compute-Optimal Large Language Models. CoRR (2022)
Maribeth Rauh, John Mellor, Jonathan Uesato, Po-Sen Huang, Johannes Welbl, Laura Weidinger, Sumanth Dathathri, Amelia Glaese, Geoffrey Irving, Iason Gabriel, William S. Isaac, Lisa Anne Hendricks
Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models. CoRR (2022)
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
Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models. NeurIPS (2022)
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
Competition-Level Code Generation with AlphaCode. CoRR (2022)
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
An empirical analysis of compute-optimal large language model training. NeurIPS (2022)
Johannes Welbl, Amelia Glaese, Jonathan Uesato, Sumanth Dathathri, John Mellor, Lisa Anne Hendricks, Kirsty Anderson, Pushmeet Kohli, Ben Coppin, Po-Sen Huang
Challenges in Detoxifying Language Models. EMNLP (Findings) (2021)
Richard Evans, José Hernández-Orallo, Johannes Welbl, Pushmeet Kohli, Marek J. Sergot
Making sense of sensory input. Artif. Intell. 293 (2021)
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 Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William S. Isaac, Edward Lockhart, Simon Osindero, Laura Rimell, Chris Dyer, Oriol Vinyals, Kareem Ayoub, Jeff Stanway, Lorrayne Bennett, Demis Hassabis, Koray Kavukcuoglu, Geoffrey Irving
Scaling Language Models: Methods, Analysis & Insights from Training Gopher. CoRR (2021)
Johannes Welbl, Amelia Glaese, Jonathan Uesato, Sumanth Dathathri, John Mellor, Lisa Anne Hendricks, Kirsty Anderson, Pushmeet Kohli, Ben Coppin, Po-Sen Huang
Challenges in Detoxifying Language Models. CoRR (2021)
Johannes Welbl, Po-Sen Huang, Robert Stanforth, Sven Gowal, Krishnamurthy (Dj) Dvijotham, Martin Szummer, Pushmeet Kohli
Towards Verified Robustness under Text Deletion Interventions. ICLR (2020)
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)
Johannes Welbl, Pasquale Minervini, Max Bartolo, Pontus Stenetorp, Sebastian Riedel
Undersensitivity in Neural Reading Comprehension. CoRR (2020)
Max Bartolo, Alastair Roberts, Johannes Welbl, Sebastian Riedel, Pontus Stenetorp
Beat the AI: Investigating Adversarial Human Annotations for Reading Comprehension. CoRR (2020)
Po-Sen Huang, Huan Zhang, Ray Jiang, Robert Stanforth, Johannes Welbl, Jack Rae, Vishal Maini, Dani Yogatama, Pushmeet Kohli
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation. EMNLP (Findings) (2020)
Johannes Welbl, Pasquale Minervini, Max Bartolo, Pontus Stenetorp, Sebastian Riedel
Undersensitivity in Neural Reading Comprehension. EMNLP (Findings) (2020)
Richard Evans, José Hernández-Orallo, Johannes Welbl, Pushmeet Kohli, Marek J. Sergot
Evaluating the Apperception Engine. CoRR (2020)
Richard Evans, José Hernández-Orallo, Johannes Welbl, Pushmeet Kohli, Marek J. Sergot
Making sense of sensory input. CoRR (2019)
Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. EMNLP/IJCNLP (1) (2019)
Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. CoRR (2019)
Po-Sen Huang, Huan Zhang, Ray Jiang, Robert Stanforth, Johannes Welbl, Jack Rae, Vishal Maini, Dani Yogatama, Pushmeet Kohli
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation. CoRR (2019)
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)
Johannes Welbl, Pontus Stenetorp, Sebastian Riedel
Constructing Datasets for Multi-hop Reading Comprehension Across Documents. Trans. Assoc. Comput. Linguistics 6 (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)
Johannes Welbl, Pontus Stenetorp, Sebastian Riedel
Constructing Datasets for Multi-hop Reading Comprehension Across Documents. CoRR (2017)
Théo Trouillon, Christopher R. Dance, Johannes Welbl, Sebastian Riedel, Éric Gaussier, Guillaume Bouchard
Knowledge Graph Completion via Complex Tensor Factorization. CoRR (2017)
Johannes Welbl, Nelson F. Liu, Matt Gardner
Crowdsourcing Multiple Choice Science Questions. CoRR (2017)
Michal Daniluk, Tim Rocktäschel, Johannes Welbl, Sebastian Riedel
Frustratingly Short Attention Spans in Neural Language Modeling. CoRR (2017)
Théo Trouillon, Christopher R. Dance, Éric Gaussier, Johannes Welbl, Sebastian Riedel, Guillaume Bouchard
Knowledge Graph Completion via Complex Tensor Factorization. J. Mach. Learn. Res. 18 (2017)
Michal Daniluk, Tim Rocktäschel, Johannes Welbl, Sebastian Riedel
Frustratingly Short Attention Spans in Neural Language Modeling. ICLR (Poster) (2017)
Johannes Welbl, Nelson F. Liu, Matt Gardner
Crowdsourcing Multiple Choice Science Questions. NUT@EMNLP (2017)
Gérard Biau, Erwan Scornet, Johannes Welbl
Neural Random Forests. CoRR (2016)
Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, Guillaume Bouchard
Complex Embeddings for Simple Link Prediction. CoRR (2016)
Johannes Welbl, Guillaume Bouchard, Sebastian Riedel
A Factorization Machine Framework for Testing Bigram Embeddings in Knowledgebase Completion. CoRR (2016)
Johannes Welbl, Guillaume Bouchard, Sebastian Riedel
A Factorization Machine Framework for Testing Bigram Embeddings in Knowledgebase Completion. AKBC@NAACL-HLT (2016)
Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, Guillaume Bouchard
Complex Embeddings for Simple Link Prediction. ICML (2016)
Melih Kandemir, José C. Rubio, Ute Schmidt, Christian Wojek, Johannes Welbl, Björn Ommer, Fred A. Hamprecht
Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures. MICCAI (2) (2014)
Johannes Welbl
Casting Random Forests as Artificial Neural Networks (and Profiting from It). GCPR (2014)