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ORCIDSebastian Gehrmann
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2020 – today
- 2023
[j7]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: 103-166 (2023)- [c31]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: 6010-6028 - [c30]Joshua Maynez, Priyanka Agrawal, Sebastian Gehrmann:
Benchmarking Large Language Model Capabilities for Conditional Generation. ACL (1) 2023: 9194-9213 - [c29]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: 13003-13051 - [c28]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: 14944-14982 - [c27]Alon Jacovi
, Jasmijn Bastings, Sebastian Gehrmann, Yoav Goldberg, Katja Filippova:
Diagnosing AI Explanation Methods with Folk Concepts of Behavior. FAccT 2023: 247 - [i41]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 abs/2303.17564 (2023) - [i40]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 abs/2305.10403 (2023) - [i39]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 abs/2305.13194 (2023) - [i38]Joshua Maynez, Priyanka Agrawal, Sebastian Gehrmann:
Benchmarking Large Language Model Capabilities for Conditional Generation. CoRR abs/2306.16793 (2023) - 2022
- [c26]Steven Layne, Sebastian Gehrmann, Franck Dernoncourt, Lidan Wang, Trung Bui, Walter Chang:
A Framework for Automated Text Generation Benchmarking. SDU@AAAI 2022 - [c25]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: 266-281 - [c24]Kelechi Ogueji, Orevaoghene Ahia, Gbemileke Onilude, Sebastian Gehrmann, Sara Hooker, Julia Kreutzer:
Intriguing Properties of Compression on Multilingual Models. EMNLP 2022: 9092-9110 - [i37]Alon Jacovi, Jasmijn Bastings, Sebastian Gehrmann, Yoav Goldberg, Katja Filippova:
Diagnosing AI Explanation Methods with Folk Concepts of Behavior. CoRR abs/2201.11239 (2022) - [i36]Sebastian Gehrmann, Elizabeth Clark, Thibault Sellam:
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text. CoRR abs/2202.06935 (2022) - [i35]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 abs/2204.02311 (2022) - [i34]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 abs/2206.11249 (2022) - [i33]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 abs/2210.09261 (2022) - [i32]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 abs/2211.00142 (2022) - [i31]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 abs/2211.00922 (2022) - [i30]Kelechi Ogueji, Orevaoghene Ahia, Gbemileke Onilude, Sebastian Gehrmann, Sara Hooker, Julia Kreutzer:
Intriguing Properties of Compression on Multilingual Models. CoRR abs/2211.02738 (2022) - [i29]Chris Alberti, Kuzman Ganchev, Michael Collins, Sebastian Gehrmann, Ciprian Chelba:
Towards Computationally Verifiable Semantic Grounding for Language Models. CoRR abs/2211.09070 (2022) - [i28]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 abs/2212.10397 (2022) - 2021
- [c23]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: 1828-1843 - [c22]Hendrik Strobelt, Benjamin Hoover, Arvind Satyanarayan, Sebastian Gehrmann:
LMdiff: A Visual Diff Tool to Compare Language Models. EMNLP (Demos) 2021: 96-105 - [c21]Amy Pu, Hyung Won Chung, Ankur P. Parikh, Sebastian Gehrmann, Thibault Sellam:
Learning Compact Metrics for MT. EMNLP (1) 2021: 751-762 - [c20]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 - [c19]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 - [i27]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 abs/2102.01672 (2021) - [i26]Matthew Finlayson, Aaron Mueller, Sebastian Gehrmann, Stuart M. Shieber, Tal Linzen, Yonatan Belinkov:
Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models. CoRR abs/2106.06087 (2021) - [i25]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. CoRR abs/2106.09069 (2021) - [i24]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 abs/2108.07374 (2021) - [i23]Amy Pu, Hyung Won Chung, Ankur P. Parikh, Sebastian Gehrmann, Thibault Sellam:
Learning Compact Metrics for MT. CoRR abs/2110.06341 (2021) - [i22]Hendrik Strobelt, Benjamin Hoover, Arvind Satyanarayan, Sebastian Gehrmann:
LMdiff: A Visual Diff Tool to Compare Language Models. CoRR abs/2111.01582 (2021) - [i21]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 abs/2111.06467 (2021) - [i20]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 abs/2112.02721 (2021) - 2020
- [j6]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): 1022-1037 (2020) - [j5]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): 884-894 (2020) - [c18]Yonatan Belinkov, Sebastian Gehrmann, Ellie Pavlick:
Interpretability and Analysis in Neural NLP. ACL (tutorial) 2020: 1-5 - [c17]Benjamin Hoover, Hendrik Strobelt, Sebastian Gehrmann:
exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer Models. ACL (demo) 2020: 187-196 - [c16]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: 107-118 - [c15]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: 1173-1186 - [c14]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: 1362-1367 - [c13]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 - [c12]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: 921-927 - [i19]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 abs/2003.03044 (2020) - [i18]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 abs/2004.12265 (2020) - [i17]Ankur P. Parikh, Xuezhi Wang, Sebastian Gehrmann, Manaal Faruqui, Bhuwan Dhingra, Diyi Yang, Dipanjan Das:
ToTTo: A Controlled Table-To-Text Generation Dataset. CoRR abs/2004.14373 (2020) - [i16]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 abs/2005.11248 (2020) - [i15]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 abs/2008.05122 (2020) - [i14]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 abs/2010.04297 (2020)
2010 – 2019
- 2019
- [j4]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): 353-363 (2019) - [c11]Sebastian Gehrmann, Hendrik Strobelt, Alexander M. Rush:
GLTR: Statistical Detection and Visualization of Generated Text. ACL (3) 2019: 111-116 - [c10]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 - [c9]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 - [c8]Naba Rizvi, Sebastian Gehrmann, Franck Dernoncourt:
Margin Call: an Accessible Web-based Text Viewer with Generated Paragraph Summaries in the Margin. INLG 2019: 244-246 - [c7]Sebastian Gehrmann, Zachary M. Ziegler, Alexander M. Rush:
Generating Abstractive Summaries with Finetuned Language Models. INLG 2019: 516-522 - [c6]Sebastian Gehrmann, Steven Layne, Franck Dernoncourt:
Improving Human Text Comprehension through Semi-Markov CRF-based Neural Section Title Generation. NAACL-HLT (1) 2019: 1677-1688 - [i13]Sebastian Gehrmann, Steven Layne, Franck Dernoncourt:
Improving Human Text Comprehension through Semi-Markov CRF-based Neural Section Title Generation. CoRR abs/1904.07142 (2019) - [i12]Mirac Suzgun, Sebastian Gehrmann, Yonatan Belinkov, Stuart M. Shieber:
LSTM Networks Can Perform Dynamic Counting. CoRR abs/1906.03648 (2019) - [i11]Sebastian Gehrmann, Hendrik Strobelt, Alexander M. Rush:
GLTR: Statistical Detection and Visualization of Generated Text. CoRR abs/1906.04043 (2019) - [i10]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 abs/1906.11597 (2019) - [i9]Sebastian Gehrmann, Hendrik Strobelt, Robert Krüger, Hanspeter Pfister, Alexander M. Rush:
Visual Interaction with Deep Learning Models through Collaborative Semantic Inference. CoRR abs/1907.10739 (2019) - [i8]Zachary M. Ziegler, Luke Melas-Kyriazi, Sebastian Gehrmann, Alexander M. Rush:
Encoder-Agnostic Adaptation for Conditional Language Generation. CoRR abs/1908.06938 (2019) - [i7]Benjamin Hoover, Hendrik Strobelt, Sebastian Gehrmann:
exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformers Models. CoRR abs/1910.05276 (2019) - [i6]Mirac Suzgun, Sebastian Gehrmann, Yonatan Belinkov, Stuart M. Shieber:
Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages. CoRR abs/1911.03329 (2019) - 2018
- [j3]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: 68-73 (2018) - [j2]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): 667-676 (2018) - [c5]Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch, Adam Perer, Hanspeter Pfister, Alexander M. Rush:
Debugging Sequence-to-Sequence Models with Seq2Seq-Vis. BlackboxNLP@EMNLP 2018: 368-370 - [c4]Sebastian Gehrmann, Yuntian Deng, Alexander M. Rush:
Bottom-Up Abstractive Summarization. EMNLP 2018: 4098-4109 - [c3]Sebastian Gehrmann, Falcon Z. Dai, Henry Elder, Alexander M. Rush:
End-to-End Content and Plan Selection for Data-to-Text Generation. INLG 2018: 46-56 - [c2]Henry Elder, Sebastian Gehrmann, Alexander O'Connor, Qun Liu:
E2E NLG Challenge Submission: Towards Controllable Generation of Diverse Natural Language. INLG 2018: 457-462 - [i5]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 abs/1804.09299 (2018) - [i4]Sebastian Gehrmann, Yuntian Deng, Alexander M. Rush:
Bottom-Up Abstractive Summarization. CoRR abs/1808.10792 (2018) - [i3]Sebastian Gehrmann, Falcon Z. Dai, Henry Elder, Alexander M. Rush:
End-to-End Content and Plan Selection for Data-to-Text Generation. CoRR abs/1810.04700 (2018) - 2017
- [i2]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 abs/1703.08705 (2017) - 2016
- [i1]Hendrik Strobelt, Sebastian Gehrmann, Bernd Huber, Hanspeter Pfister, Alexander M. Rush:
Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks. CoRR abs/1606.07461 (2016) - 2015
- [c1]Sebastian Gehrmann, Lauren Urke, Ofra Amir, Barbara J. Grosz:
Deploying AI Methods to Support Collaborative Writing: a Preliminary Investigation. CHI Extended Abstracts 2015: 917-922
2000 – 2009
- 2004
- [j1]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): 271 (2004) - 2003
- [b1]Sebastian Gehrmann:
3-D-Atlas des kardiovaskulären Systems des Menschen auf der Basis des Visible Human. University of Hamburg, Germany, 2003, pp. 1-70
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