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Niklas Stoehr
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2020 – today
- 2024
- [c17]Kevin Du, Vésteinn Snæbjarnarson, Niklas Stoehr, Jennifer C. White, Aaron Schein, Ryan Cotterell:
Context versus Prior Knowledge in Language Models. ACL (1) 2024: 13211-13235 - [c16]Niklas Stoehr, Pengxiang Cheng, Jing Wang, Daniel Preotiuc-Pietro, Rajarshi Bhowmik:
Unsupervised Contrast-Consistent Ranking with Language Models. EACL (1) 2024: 900-914 - [c15]Niklas Stoehr, Kevin Du, Vésteinn Snæbjarnarson, Robert West, Ryan Cotterell, Aaron Schein:
Activation Scaling for Steering and Interpreting Language Models. EMNLP (Findings) 2024: 8189-8200 - [i20]Niklas Stoehr, Mitchell Gordon, Chiyuan Zhang, Owen Lewis:
Localizing Paragraph Memorization in Language Models. CoRR abs/2403.19851 (2024) - [i19]Kevin Du, Vésteinn Snæbjarnarson, Niklas Stoehr, Jennifer C. White, Aaron Schein, Ryan Cotterell:
Context versus Prior Knowledge in Language Models. CoRR abs/2404.04633 (2024) - [i18]Niklas Stoehr, Kevin Du, Vésteinn Snæbjarnarson, Robert West, Ryan Cotterell, Aaron Schein:
Activation Scaling for Steering and Interpreting Language Models. CoRR abs/2410.04962 (2024) - 2023
- [c14]Niklas Stoehr, Lucas Torroba Hennigen, Josef Valvoda, Robert West, Ryan Cotterell, Aaron Schein:
An Ordinal Latent Variable Model of Conflict Intensity. ACL (1) 2023: 4817-4830 - [c13]Andreas Opedal, Niklas Stoehr, Abulhair Saparov, Mrinmaya Sachan:
World Models for Math Story Problems. ACL (Findings) 2023: 9088-9115 - [c12]Kevin Du, Lucas Torroba Hennigen, Niklas Stoehr, Alex Warstadt, Ryan Cotterell
:
Generalizing Backpropagation for Gradient-Based Interpretability. ACL (1) 2023: 11979-11995 - [c11]Niklas Stoehr, Benjamin J. Radford
The Ordered Matrix Dirichlet for State-Space Models. AISTATS 2023: 1888-1903 - [c10]Niklas Stoehr, Ryan Cotterell, Aaron Schein:
Sentiment as an Ordinal Latent Variable. EACL 2023: 103-115 - [c9]Mian Zhong
Extracting Victim Counts from Text. EACL 2023: 1917-1932 - [c8]Giuseppe Russo Latona, Niklas Stoehr, Manoel Horta Ribeiro:
ACTI at EVALITA 2023: Automatic Conspiracy Theory Identification Task Overview (short paper). EVALITA 2023 - [i17]Mian Zhong, Shehzaad Dhuliawala, Niklas Stoehr:
Extracting Victim Counts from Text. CoRR abs/2302.12367 (2023) - [i16]Andreas Opedal, Niklas Stoehr, Abulhair Saparov, Mrinmaya Sachan:
World Models for Math Story Problems. CoRR abs/2306.04347 (2023) - [i15]Kevin Du, Lucas Torroba Hennigen, Niklas Stoehr, Alexander Warstadt, Ryan Cotterell:
Generalizing Backpropagation for Gradient-Based Interpretability. CoRR abs/2307.03056 (2023) - [i14]Giuseppe Russo Latona, Niklas Stoehr, Manoel Horta Ribeiro:
ACTI at EVALITA 2023: Overview of the Conspiracy Theory Identification Task. CoRR abs/2307.06954 (2023) - [i13]Niklas Stoehr, Pengxiang Cheng, Jing Wang, Daniel Preotiuc-Pietro, Rajarshi Bhowmik:
Unsupervised Contrast-Consistent Ranking with Language Models. CoRR abs/2309.06991 (2023) - 2022
- [j1]Jörg Friedrichs
Fear-anger contests: Governmental and populist politics of emotion. Online Soc. Networks Media 32: 100240 (2022) - [c7]Ali Hürriyetoglu, Osman Mutlu, Firat Durusan, Onur Uca, Alaeddin Selçuk Gürel, Benjamin J. Radford, Yaoyao Dai, Hansi Hettiarachchi
Extended Multilingual Protest News Detection - Shared Task 1, CASE 2021 and 2022. CASE@EMNLP 2022: 223-228 - [c6]Tiago Pimentel, Josef Valvoda, Niklas Stoehr, Ryan Cotterell:
Attentional Probe: Estimating a Module's Functional Potential. EMNLP 2022: 11459-11472 - [c5]Khuyagbaatar Batsuren, Omer Goldman, Salam Khalifa, Nizar Habash, Witold Kieras, Gábor Bella, Brian Leonard, Garrett Nicolai, Kyle Gorman, Yustinus Ghanggo Ate, Maria Ryskina, Sabrina J. Mielke, Elena Budianskaya, Charbel El-Khaissi, Tiago Pimentel, Michael Gasser, William Abbott Lane, Mohit Raj, Matt Coler, Jaime Rafael Montoya Samame, Delio Siticonatzi Camaiteri, Esaú Zumaeta Rojas, Didier López Francis, Arturo Oncevay, Juan López Bautista, Gema Celeste Silva Villegas, Lucas Torroba Hennigen, Adam Ek, David Guriel, Peter Dirix, Jean-Philippe Bernardy, Andrey Scherbakov, Aziyana Bayyr-ool, Antonios Anastasopoulos, Roberto Zariquiey, Karina Sheifer, Sofya Ganieva, Hilaria Cruz, Ritván Karahóga, Stella Markantonatou, George Pavlidis, Matvey Plugaryov, Elena Klyachko, Ali Salehi, Candy Angulo, Jatayu Baxi, Andrew Krizhanovsky, Natalia Krizhanovskaya, Elizabeth Salesky
UniMorph 4.0: Universal Morphology. LREC 2022: 840-855 - [i12]Khuyagbaatar Batsuren, Omer Goldman, Salam Khalifa, Nizar Habash, Witold Kieras, Gábor Bella, Brian Leonard, Garrett Nicolai, Kyle Gorman, Yustinus Ghanggo Ate
UniMorph 4.0: Universal Morphology. CoRR abs/2205.03608 (2022) - [i11]Niklas Stoehr, Lucas Torroba Hennigen, Josef Valvoda, Robert West, Ryan Cotterell, Aaron Schein:
An Ordinal Latent Variable Model of Conflict Intensity. CoRR abs/2210.03971 (2022) - [i10]Clément Lefebvre, Niklas Stoehr:
Rethinking the Event Coding Pipeline with Prompt Entailment. CoRR abs/2210.05257 (2022) - [i9]Tiago Pimentel, Josef Valvoda, Niklas Stoehr, Ryan Cotterell:
The Architectural Bottleneck Principle. CoRR abs/2211.06420 (2022) - [i8]Ali Hürriyetoglu, Osman Mutlu, Firat Durusan, Onur Uca, Alaeddin Selçuk Gürel, Benjamin J. Radford, Yaoyao Dai, Hansi Hettiarachchi, Niklas Stoehr, Tadashi Nomoto, Milena Slavcheva, Francielle Vargas, Aaqib Javid, Fatih Beyhan, Erdem Yörük:
Extended Multilingual Protest News Detection - Shared Task 1, CASE 2021 and 2022. CoRR abs/2211.11360 (2022) - [i7]Niklas Stoehr, Benjamin J. Radford, Ryan Cotterell, Aaron Schein:
The Ordered Matrix Dirichlet for Modeling Ordinal Dynamics. CoRR abs/2212.04130 (2022) - 2021
- [c4]Niklas Stoehr, Lucas Torroba Hennigen, Samin Ahbab, Robert West, Ryan Cotterell:
Classifying Dyads for Militarized Conflict Analysis. EMNLP (1) 2021: 7775-7784 - [c3]Josef Valvoda, Tiago Pimentel, Niklas Stoehr, Ryan Cotterell, Simone Teufel:
What About the Precedent: An Information-Theoretic Analysis of Common Law. NAACL-HLT 2021: 2275-2288 - [i6]Josef Valvoda, Tiago Pimentel, Niklas Stoehr, Ryan Cotterell, Simone Teufel:
What About the Precedent: An Information-Theoretic Analysis of Common Law. CoRR abs/2104.12133 (2021) - [i5]Cristina Guzman, Daphna Keidar, Tristan Meynier, Andreas Opedal, Niklas Stoehr:
Recovering Barabási-Albert Parameters of Graphs through Disentanglement. CoRR abs/2105.00997 (2021) - [i4]Raphael Lepuschitz, Niklas Stoehr:
SeismographAPI: Visualising Temporal-Spatial Crisis Data. CoRR abs/2107.12443 (2021) - [i3]Niklas Stoehr, Lucas Torroba Hennigen, Samin Ahbab, Robert West, Ryan Cotterell:
Classifying Dyads for Militarized Conflict Analysis. CoRR abs/2109.12860 (2021)
2010 – 2019
- 2019
- [c2]Niklas Stoehr, Luis Sanchez, Daniil Gannota, Fabian Falck:
From Accuracy to Versatility: Analysing Text Classification Models Regarding Transfer Learning. SNAMS 2019: 369-374 - [i2]Niklas Stoehr, Marc Brockschmidt, Jan Stuehmer, Emine Yilmaz:
Disentangling Interpretable Generative Parameters of Random and Real-World Graphs. CoRR abs/1910.05639 (2019) - [i1]Niklas Stoehr, Fabian Braesemann, Michael Frommelt, Shi Zhou:
Mining the Automotive Industry: A Network Analysis of Corporate Positioning and Technological Trends. CoRR abs/1912.10097 (2019) - 2018
- [c1]Niklas Stoehr, Johannes Meyer
Heatflip: Temporal-Spatial Sampling for Progressive Heat Maps on Social Media Data. IEEE BigData 2018: 3723-3732
Coauthor Index
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last updated on 2024-11-19 20:49 CET by the dblp team
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