Sebastian Gehrmann

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 83

Top Venues

University of Hamburg, Germany (PHD)

Education History

University of Hamburg, Germany

PHD

Publications

Shivalika Singh, Freddie Vargus, Daniel D'souza, Börje F. Karlsson, Abinaya Mahendiran, Wei-Yin Ko, Herumb Shandilya, Jay Patel, Deividas Mataciunas, Laura O'Mahony, Mike Zhang, Ramith Hettiarachchi, Joseph Wilson, Marina Machado, Luisa Souza Moura, Dominik Krzeminski, Hakimeh Fadaei, Irem Ergün, Ifeoma Okoh, Aisha Alaagib, Oshan Mudannayake, Zaid Alyafeai, Minh Chien Vu, Sebastian Ruder, Surya Guthikonda, Emad A. Alghamdi, Sebastian Gehrmann, Niklas Muennighoff, Max Bartolo, Julia Kreutzer, Ahmet Üstün, Marzieh Fadaee, Sara Hooker
Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning. CoRR (2024)
Alon Jacovi, Jasmijn Bastings, Sebastian Gehrmann, Yoav Goldberg, Katja Filippova
Diagnosing AI Explanation Methods with Folk Concepts of Behavior. FAccT (2023)
Mirac Suzgun, Nathan Scales, Nathanael Schärli, Sebastian Gehrmann, Yi Tay, Hyung Won Chung, Aakanksha Chowdhery, Quoc V. Le, Ed Chi, Denny Zhou, Jason Wei
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them. ACL (Findings) (2023)
Elizabeth Clark, Shruti Rijhwani, Sebastian Gehrmann, Joshua Maynez, Roee Aharoni, Vitaly Nikolaev, Thibault Sellam, Aditya Siddhant, Dipanjan Das, Ankur P. Parikh
SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation. EMNLP (2023)
Joshua Maynez, Priyanka Agrawal, Sebastian Gehrmann
Benchmarking Large Language Model Capabilities for Conditional Generation. CoRR (2023)
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel
PaLM: Scaling Language Modeling with Pathways. J. Mach. Learn. Res. 24 (2023)
Jiao Sun, Thibault Sellam, Elizabeth Clark, Tu Vu, Timothy Dozat, Dan Garrette, Aditya Siddhant, Jacob Eisenstein, Sebastian Gehrmann
Dialect-robust Evaluation of Generated Text. ACL (1) (2023)
Sebastian Gehrmann, Elizabeth Clark, Thibault Sellam
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text. J. Artif. Intell. Res. 77 (2023)
Elizabeth Clark, Shruti Rijhwani, Sebastian Gehrmann, Joshua Maynez, Roee Aharoni, Vitaly Nikolaev, Thibault Sellam, Aditya Siddhant, Dipanjan Das, Ankur P. Parikh
SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation. CoRR (2023)
Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, Mark Dredze, Sebastian Gehrmann, Prabhanjan Kambadur, David S. Rosenberg, Gideon Mann
BloombergGPT: A Large Language Model for Finance. CoRR (2023)
Alon Jacovi, Jasmijn Bastings, Sebastian Gehrmann, Yoav Goldberg, Katja Filippova
Diagnosing AI Explanation Methods with Folk Concepts of Behavior. J. Artif. Intell. Res. 78 (2023)
Rohan Anil, Andrew M. Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, Eric Chu, Jonathan H. Clark, Laurent El Shafey, Yanping Huang, Kathy Meier-Hellstern, Gaurav Mishra, Erica Moreira, Mark Omernick, Kevin Robinson, Sebastian Ruder, Yi Tay, Kefan Xiao, Yuanzhong Xu, Yujing Zhang, Gustavo Hernández Ábrego, Junwhan Ahn, Jacob Austin, Paul Barham, Jan A. Botha, James Bradbury, Siddhartha Brahma, Kevin Brooks, Michele Catasta, Yong Cheng, Colin Cherry, Christopher A. Choquette-Choo, Aakanksha Chowdhery, Clément Crepy, Shachi Dave, Mostafa Dehghani, Sunipa Dev, Jacob Devlin, Mark Díaz, Nan Du, Ethan Dyer, Vladimir Feinberg, Fangxiaoyu Feng, Vlad Fienber, Markus Freitag, Xavier Garcia, Sebastian Gehrmann, Lucas Gonzalez, et al.
PaLM 2 Technical Report. CoRR (2023)
Joshua Maynez, Priyanka Agrawal, Sebastian Gehrmann
Benchmarking Large Language Model Capabilities for Conditional Generation. ACL (1) (2023)
Sebastian Gehrmann, Sebastian Ruder, Vitaly Nikolaev, Jan A. Botha, Michael Chavinda, Ankur P. Parikh, Clara Rivera
TaTA: A Multilingual Table-to-Text Dataset for African Languages. EMNLP (Findings) (2023)
Lining Zhang, Simon Mille, Yufang Hou, Daniel Deutsch, Elizabeth Clark, Yixin Liu, Saad Mahamood, Sebastian Gehrmann, Miruna Clinciu, Khyathi Raghavi Chandu, João Sedoc
A Needle in a Haystack: An Analysis of High-Agreement Workers on MTurk for Summarization. ACL (1) (2023)
Jiao Sun, Thibault Sellam, Elizabeth Clark, Tu Vu, Timothy Dozat, Dan Garrette, Aditya Siddhant, Jacob Eisenstein, Sebastian Gehrmann
Dialect-robust Evaluation of Generated Text. CoRR (2022)
Mirac Suzgun, Nathan Scales, Nathanael Schärli, Sebastian Gehrmann, Yi Tay, Hyung Won Chung, Aakanksha Chowdhery, Quoc V. Le, Ed H. Chi, Denny Zhou, Jason Wei
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them. CoRR (2022)
Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir R. Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh D. Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek, Paul Pu Liang, Pawan Sasanka Ammanamanchi, Qi Zhu, Ratish Puduppully, Reno Kriz, Rifat Shahriyar, Ronald Cardenas, Saad Mahamood, Salomey Osei, Samuel Cahyawijaya, Sanja Stajner, Sébastien Montella, Shailza Jolly, Simon Mille, Tahmid Hasan, Tianhao Shen, Tosin P. AMahidewumi, Vikas Raunak, Vipul Raheja, Vitaly Nikolaev, Vivian Tsai, Yacine Jernite, Ying Xu, Yisi Sang, Yixin Liu, Yufang Hou
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. CoRR (2022)
Sebastian Gehrmann, Sebastian Ruder, Vitaly Nikolaev, Jan A. Botha, Michael Chavinda, Ankur P. Parikh, Clara Rivera
TaTa: A Multilingual Table-to-Text Dataset for African Languages. CoRR (2022)
Chris Alberti, Kuzman Ganchev, Michael Collins, Sebastian Gehrmann, Ciprian Chelba
Towards Computationally Verifiable Semantic Grounding for Language Models. CoRR (2022)
Steven Layne, Sebastian Gehrmann, Franck Dernoncourt, Lidan Wang, Trung Bui, Walter Chang
A Framework for Automated Text Generation Benchmarking. SDU@AAAI (2022)
Sebastian Gehrmann, Elizabeth Clark, Thibault Sellam
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text. CoRR (2022)
Kelechi Ogueji, Orevaoghene Ahia, Gbemileke Onilude, Sebastian Gehrmann, Sara Hooker, Julia Kreutzer
Intriguing Properties of Compression on Multilingual Models. CoRR (2022)
Lining Zhang, João Sedoc, Simon Mille, Yufang Hou, Sebastian Gehrmann, Daniel Deutsch, Elizabeth Clark, Yixin Liu, Miruna Clinciu, Saad Mahamood, Khyathi Raghavi Chandu
Needle in a Haystack: An Analysis of Finding Qualified Workers on MTurk for Summarization. CoRR (2022)
Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bernd Bohnet
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. EMNLP (Demos) (2022)
Alon Jacovi, Jasmijn Bastings, Sebastian Gehrmann, Yoav Goldberg, Katja Filippova
Diagnosing AI Explanation Methods with Folk Concepts of Behavior. CoRR (2022)
Kelechi Ogueji, Orevaoghene Ahia, Gbemileke Onilude, Sebastian Gehrmann, Sara Hooker, Julia Kreutzer
Intriguing Properties of Compression on Multilingual Models. EMNLP (2022)
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel
PaLM: Scaling Language Modeling with Pathways. CoRR (2022)
Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Rishabh Gupta, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, et al.
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. CoRR (2021)
Matthew Finlayson, Aaron Mueller, Sebastian Gehrmann, Stuart M. Shieber, Tal Linzen, Yonatan Belinkov
Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models. CoRR (2021)
Amy Pu, Hyung Won Chung, Ankur P. Parikh, Sebastian Gehrmann, Thibault Sellam
Learning Compact Metrics for MT. EMNLP (1) (2021)
Hendrik Strobelt, Benjamin Hoover, Arvind Satyanarayan, Sebastian Gehrmann
LMdiff: A Visual Diff Tool to Compare Language Models. CoRR (2021)
Sebastian Gehrmann, Tosin P. Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondrej Dusek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei, Ankur P. Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. CoRR (2021)
Simon Mille, Kaustubh D. Dhole, Saad Mahamood, Laura Perez-Beltrachini, Varun Gangal, Mihir Sanjay Kale, Emiel van Miltenburg, Sebastian Gehrmann
Automatic Construction of Evaluation Suites for Natural Language Generation Datasets. NeurIPS Datasets and Benchmarks (2021)
Hendrik Strobelt, Benjamin Hoover, Arvind Satyanarayan, Sebastian Gehrmann
LMdiff: A Visual Diff Tool to Compare Language Models. EMNLP (Demos) (2021)
Simon Mille, Kaustubh D. Dhole, Saad Mahamood, Laura Perez-Beltrachini, Varun Gangal, Mihir Kale, Emiel van Miltenburg, Sebastian Gehrmann
Automatic Construction of Evaluation Suites for Natural Language Generation Datasets. CoRR (2021)
Amy Pu, Hyung Won Chung, Ankur P. Parikh, Sebastian Gehrmann, Thibault Sellam
Learning Compact Metrics for MT. CoRR (2021)
Angelina McMillan-Major, Salomey Osei, Juan Diego Rodriguez, Pawan Sasanka Ammanamanchi, Sebastian Gehrmann, Yacine Jernite
Reusable Templates and Guides For Documenting Datasets and Models for Natural Language Processing and Generation: A Case Study of the HuggingFace and GEM Data and Model Cards. CoRR (2021)
Ann Yuan, Daphne Ippolito, Vitaly Nikolaev, Chris Callison-Burch, Andy Coenen, Sebastian Gehrmann
SynthBio: A Case Study in Faster Curation of Text Datasets. NeurIPS Datasets and Benchmarks (2021)
Ann Yuan, Daphne Ippolito, Vitaly Nikolaev, Chris Callison-Burch, Andy Coenen, Sebastian Gehrmann
SynthBio: A Case Study in Human-AI Collaborative Curation of Text Datasets. CoRR (2021)
Matthew Finlayson, Aaron Mueller, Sebastian Gehrmann, Stuart M. Shieber, Tal Linzen, Yonatan Belinkov
Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models. ACL/IJCNLP (1) (2021)
Thibault Sellam, Amy Pu, Hyung Won Chung, Sebastian Gehrmann, Qijun Tan, Markus Freitag, Dipanjan Das, Ankur P. Parikh
Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task. WMT@EMNLP (2020)
Jesse Vig, Sebastian Gehrmann, Yonatan Belinkov, Sharon Qian, Daniel Nevo, Yaron Singer, Stuart M. Shieber
Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias. CoRR (2020)
Ankur P. Parikh, Xuezhi Wang, Sebastian Gehrmann, Manaal Faruqui, Bhuwan Dhingra, Diyi Yang, Dipanjan Das
ToTTo: A Controlled Table-To-Text Generation Dataset. EMNLP (1) (2020)
Massimo Zancanaro, Oliviero Stock, Gianluca Schiavo, Alessandro Cappelletti, Sebastian Gehrmann, Daphna Canetti, Ohad Shaked, Shani Fachter, Rachel Yifat, Ravit Mimran, Patrice L. (Tamar) Weiss
Evaluating an automated mediator for joint narratives in a conflict situation. Behav. Inf. Technol. 39 (9) (2020)
Ian Tenney, James Wexler, Jasmijn Bastings, Tolga Bolukbasi, Andy Coenen, Sebastian Gehrmann, Ellen Jiang, Mahima Pushkarna, Carey Radebaugh, Emily Reif, Ann Yuan
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models. EMNLP (Demos) (2020)
Edward T. Moseley, Joy T. Wu, Jonathan Welt, John Foote Jr., Patrick D. Tyler, David W. Grant, Eric T. Carlson, Sebastian Gehrmann, Franck Dernoncourt, Leo Anthony Celi
A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients. LREC (2020)
Sebastian Gehrmann, Hendrik Strobelt, Robert Krüger, Hanspeter Pfister, Alexander M. Rush
Visual Interaction with Deep Learning Models through Collaborative Semantic Inference. IEEE Trans. Vis. Comput. Graph. 26 (1) (2020)
Jesse Vig, Sebastian Gehrmann, Yonatan Belinkov, Sharon Qian, Daniel Nevo, Yaron Singer, Stuart M. Shieber
Investigating Gender Bias in Language Models Using Causal Mediation Analysis. NeurIPS (2020)
Benjamin Hoover, Hendrik Strobelt, Sebastian Gehrmann
exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer Models. ACL (demo) (2020)
Ian Tenney, James Wexler, Jasmijn Bastings, Tolga Bolukbasi, Andy Coenen, Sebastian Gehrmann, Ellen Jiang, Mahima Pushkarna, Carey Radebaugh, Emily Reif, Ann Yuan
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models. CoRR (2020)
Ankur P. Parikh, Xuezhi Wang, Sebastian Gehrmann, Manaal Faruqui, Bhuwan Dhingra, Diyi Yang, Dipanjan Das
ToTTo: A Controlled Table-To-Text Generation Dataset. CoRR (2020)
Edward T. Moseley, Joy T. Wu, Jonathan Welt, John Foote Jr., Patrick D. Tyler, David W. Grant, Eric T. Carlson, Sebastian Gehrmann, Franck Dernoncourt, Leo Anthony Celi
A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients. CoRR (2020)
Thibault Sellam, Amy Pu, Hyung Won Chung, Sebastian Gehrmann, Qijun Tan, Markus Freitag, Dipanjan Das, Ankur P. Parikh
Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task. CoRR (2020)
Yonatan Belinkov, Sebastian Gehrmann, Ellie Pavlick
Interpretability and Analysis in Neural NLP. ACL (tutorial) (2020)
Payel Das, Tom Sercu, Kahini Wadhawan, Inkit Padhi, Sebastian Gehrmann, Flaviu S. Cipcigan, Vijil Chenthamarakshan, Hendrik Strobelt, Cícero Nogueira dos Santos, Pin-Yu Chen, Yi Yan Yang, Jeremy Tan, James Hedrick, Jason Crain, Aleksandra Mojsilovic
Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics. CoRR (2020)
Naba Rizvi, Sebastian Gehrmann, Franck Dernoncourt
Margin Call: an Accessible Web-based Text Viewer with Generated Paragraph Summaries in the Margin. INLG (2019)
Mirac Suzgun, Sebastian Gehrmann, Yonatan Belinkov, Stuart M. Shieber
Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages. CoRR (2019)
Benjamin Hoover, Hendrik Strobelt, Sebastian Gehrmann
exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformers Models. CoRR (2019)
Sebastian Gehrmann, Zachary M. Ziegler, Alexander M. Rush
Generating Abstractive Summaries with Finetuned Language Models. INLG (2019)
Sebastian Gehrmann, Hendrik Strobelt, Alexander M. Rush
GLTR: Statistical Detection and Visualization of Generated Text. ACL (3) (2019)
Sebastian Gehrmann, Hendrik Strobelt, Alexander M. Rush
GLTR: Statistical Detection and Visualization of Generated Text. CoRR (2019)
Zachary M. Ziegler, Luke Melas-Kyriazi, Sebastian Gehrmann, Alexander M. Rush
Encoder-Agnostic Adaptation for Conditional Language Generation. CoRR (2019)
Mirac Suzgun, Sebastian Gehrmann, Yonatan Belinkov, Stuart M. Shieber
LSTM Networks Can Perform Dynamic Counting. CoRR (2019)
Joy T. Wu, David W. Grant, Shrey Lakhotia, Patrick D. Tyler, Daniel F. Gruhl, Chaitanya Shivade, Sebastian Gehrmann, Leo A. Celi
Identifying documented medical non-adherence from clinical notes using natural language processing. AMIA (2019)
Tom Sercu, Sebastian Gehrmann, Hendrik Strobelt, Payel Das, Inkit Padhi, Cícero Nogueira dos Santos, Kahini Wadhawan, Vijil Chenthamarakshan
Interactive Visual Exploration of Latent Space (IVELS) for peptide auto-encoder model selection. DGS@ICLR (2019)
Sebastian Gehrmann, Steven Layne, Franck Dernoncourt
Improving Human Text Comprehension through Semi-Markov CRF-based Neural Section Title Generation. CoRR (2019)
Massimo Zancanaro, Oliviero Stock, Gianluca Schiavo, Alessandro Cappelletti, Sebastian Gehrmann, Daphna Canetti, Ohad Shaked, Shani Fachter, Rachel Yifat, Ravit Mimran, Patrice L. Weiss
Evaluating an Automated Mediator for Joint Narratives in a Conflict Situation. CoRR (2019)
Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch, Adam Perer, Hanspeter Pfister, Alexander M. Rush
Seq2seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models. IEEE Trans. Vis. Comput. Graph. 25 (1) (2019)
Sebastian Gehrmann, Hendrik Strobelt, Robert Krüger, Hanspeter Pfister, Alexander M. Rush
Visual Interaction with Deep Learning Models through Collaborative Semantic Inference. CoRR (2019)
Sebastian Gehrmann, Steven Layne, Franck Dernoncourt
Improving Human Text Comprehension through Semi-Markov CRF-based Neural Section Title Generation. NAACL-HLT (1) (2019)
Hendrik Strobelt, Sebastian Gehrmann, Hanspeter Pfister, Alexander M. Rush
LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks. IEEE Trans. Vis. Comput. Graph. 24 (1) (2018)
Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch, Adam Perer, Hanspeter Pfister, Alexander M. Rush
Debugging Sequence-to-Sequence Models with Seq2Seq-Vis. BlackboxNLP@EMNLP (2018)
Sebastian Gehrmann, Falcon Z. Dai, Henry Elder, Alexander M. Rush
End-to-End Content and Plan Selection for Data-to-Text Generation. INLG (2018)
Sebastian Gehrmann, Yuntian Deng, Alexander M. Rush
Bottom-Up Abstractive Summarization. EMNLP (2018)
Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch, Adam Perer, Hanspeter Pfister, Alexander M. Rush
Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models. CoRR (2018)
Joy T. Wu, Franck Dernoncourt, Sebastian Gehrmann, Patrick D. Tyler, Edward T. Moseley, Eric T. Carlson, David W. Grant, Yeran Li, Jonathan Welt, Leo Anthony Celi
Behind the scenes: A medical natural language processing project. Int. J. Medical Informatics 112 (2018)
Sebastian Gehrmann, Yuntian Deng, Alexander M. Rush
Bottom-Up Abstractive Summarization. CoRR (2018)
Sebastian Gehrmann, Falcon Z. Dai, Henry Elder, Alexander M. Rush
End-to-End Content and Plan Selection for Data-to-Text Generation. CoRR (2018)
Henry Elder, Sebastian Gehrmann, Alexander O'Connor, Qun Liu
E2E NLG Challenge Submission: Towards Controllable Generation of Diverse Natural Language. INLG (2018)
Sebastian Gehrmann, Franck Dernoncourt, Yeran Li, Eric T. Carlson, Joy T. Wu, Jonathan Welt, John Foote Jr., Edward T. Moseley, David W. Grant, Patrick D. Tyler, Leo Anthony Celi
Comparing Rule-Based and Deep Learning Models for Patient Phenotyping. CoRR (2017)
Hendrik Strobelt, Sebastian Gehrmann, Bernd Huber, Hanspeter Pfister, Alexander M. Rush
Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks. CoRR (2016)
Sebastian Gehrmann, Lauren Urke, Ofra Amir, Barbara J. Grosz
Deploying AI Methods to Support Collaborative Writing: a Preliminary Investigation. CHI Extended Abstracts (2015)
Sebastian Gehrmann, Karl Heinz Höhne, Wolfgang Linhart, Andreas Pommert, Ulf Tiede, Serdar Yarar
A detailed 3D model of the human hand. J. Vis. 7 (4) (2004)

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Publication Activity (10 Years)

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Sebastian Gehrmann