Dennis Ulmer

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 28

Top Topics

Language Generation

Communicative Acts

Nearest Neighbor

Statistical Significance

Top Venues

EMNLP (Findings)

BlackboxNLP@ACL

Publications

Dennis Ulmer, Chrysoula Zerva, André F. T. Martins
Non-Exchangeable Conformal Language Generation with Nearest Neighbors. EACL (Findings) (2024)
Martin Gubri, Dennis Ulmer, Hwaran Lee, Sangdoo Yun, Seong Joon Oh
TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification. ACL (Findings) (2024)
Dennis Ulmer, Martin Gubri, Hwaran Lee, Sangdoo Yun, Seong Joon Oh
Calibrating Large Language Models Using Their Generations Only. CoRR (2024)
Martin Gubri, Dennis Ulmer, Hwaran Lee, Sangdoo Yun, Seong Joon Oh
TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification. CoRR (2024)
Dennis Ulmer, Elman Mansimov, Kaixiang Lin, Justin Sun, Xibin Gao, Yi Zhang
Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk. CoRR (2024)
Dennis Ulmer, Elman Mansimov, Kaixiang Lin, Lijia Sun, Xibin Gao, Yi Zhang
Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk. ACL (Findings) (2024)
António Farinhas, Chrysoula Zerva, Dennis Ulmer, André F. T. Martins
Non-Exchangeable Conformal Risk Control. ICLR (2024)
Dennis Ulmer, Chrysoula Zerva, André F. T. Martins
Non-Exchangeable Conformal Language Generation with Nearest Neighbors. CoRR (2024)
Dennis Ulmer, Christian Hardmeier, Jes Frellsen
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation. Trans. Mach. Learn. Res. 2023 (2023)
Dieuwke Hupkes, Mario Giulianelli, Verna Dankers, Mikel Artetxe, Yanai Elazar, Tiago Pimentel, Christos E. Christodoulopoulos, Karim Lasri, Naomi Saphra, Arabella Sinclair, Dennis Ulmer, Florian Schottmann, Khuyagbaatar Batsuren, Kaiser Sun, Koustuv Sinha, Leila Khalatbari, Maria Ryskina, Rita Frieske, Ryan Cotterell, Zhijing Jin
A taxonomy and review of generalization research in NLP. Nat. Mac. Intell. 5 (10) (2023)
Joris Baan, Nico Daheim, Evgenia Ilia, Dennis Ulmer, Haau-Sing Li, Raquel Fernández, Barbara Plank, Rico Sennrich, Chrysoula Zerva, Wilker Aziz
Uncertainty in Natural Language Generation: From Theory to Applications. CoRR (2023)
António Farinhas, Chrysoula Zerva, Dennis Ulmer, André F. T. Martins
Non-Exchangeable Conformal Risk Control. CoRR (2023)
Dieuwke Hupkes, Mario Giulianelli, Verna Dankers, Mikel Artetxe, Yanai Elazar, Tiago Pimentel, Christos Christodoulopoulos, Karim Lasri, Naomi Saphra, Arabella Sinclair, Dennis Ulmer, Florian Schottmann, Khuyagbaatar Batsuren, Kaiser Sun, Koustuv Sinha, Leila Khalatbari, Maria Ryskina, Rita Frieske, Ryan Cotterell, Zhijing Jin
State-of-the-art generalisation research in NLP: a taxonomy and review. CoRR (2022)
Dennis Ulmer, Jes Frellsen, Christian Hardmeier
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity. EMNLP (Findings) (2022)
Dennis Ulmer, Elisa Bassignana, Max Müller-Eberstein, Daniel Varab, Mike Zhang, Rob van der Goot, Christian Hardmeier, Barbara Plank
Experimental Standards for Deep Learning in Natural Language Processing Research. EMNLP (Findings) (2022)
Dennis Ulmer, Christian Hardmeier, Jes Frellsen
deep-significance - Easy and Meaningful Statistical Significance Testing in the Age of Neural Networks. CoRR (2022)
Dennis Ulmer, Jes Frellsen, Christian Hardmeier
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity. CoRR (2022)
Dennis Ulmer, Elisa Bassignana, Max Müller-Eberstein, Daniel Varab, Mike Zhang, Christian Hardmeier, Barbara Plank
Experimental Standards for Deep Learning Research: A Natural Language Processing Perspective. CoRR (2022)
Dennis Ulmer
A Survey on Evidential Deep Learning For Single-Pass Uncertainty Estimation. CoRR (2021)
Dennis Ulmer, Giovanni Cinà
Know your limits: Uncertainty estimation with ReLU classifiers fails at reliable OOD detection. UAI (2021)
Dennis Ulmer
Recoding latent sentence representations - Dynamic gradient-based activation modification in RNNs. CoRR (2021)
Dennis Ulmer, Lotta Meijerink, Giovanni Ciná
Trust Issues: Uncertainty Estimation Does Not Enable Reliable OOD Detection On Medical Tabular Data. CoRR (2020)
Dennis Ulmer, Lotta Meijerink, Giovanni Cinà
Trust Issues: Uncertainty Estimation Does Not Enable Reliable OOD Detection On Medical Tabular Data. ML4H@NeurIPS (2020)
Dennis Ulmer, Giovanni Cinà
Know Your Limits: Monotonicity & Softmax Make Neural Classifiers Overconfident on OOD Data. CoRR (2020)
Joris Baan, Jana Leible, Mitja Nikolaus, David Rau, Dennis Ulmer, Tim Baumgärtner, Dieuwke Hupkes, Elia Bruni
On the Realization of Compositionality in Neural Networks. BlackboxNLP@ACL (2019)
Dennis Ulmer, Dieuwke Hupkes, Elia Bruni
Assessing incrementality in sequence-to-sequence models. CoRR (2019)
Dennis Ulmer, Dieuwke Hupkes, Elia Bruni
Assessing Incrementality in Sequence-to-Sequence Models. RepL4NLP@ACL (2019)
Joris Baan, Jana Leible, Mitja Nikolaus, David Rau, Dennis Ulmer, Tim Baumgärtner, Dieuwke Hupkes, Elia Bruni
On the Realization of Compositionality in Neural Networks. CoRR (2019)