Dennis Ulmer
9 papers · 2019–2024 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Academic Marathon · Sprint
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
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Hot Topic Early Bird
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Research topics
Machine Learning
(7)
Artificial Intelligence
(6)
Core AI
(6)
Deep Learning
(5)
Natural Language Processing
(4)
Optimization & Theory
(4)
Learning Types · Machine Learning
(3)
Application Areas
(2)
Architectures
(2)
Core Methods
(2)
Generation
(2)
Models
(2)
Resources & Methods
(2)
Bayesian & Probabilistic
(1)
Learning Types · Deep Learning
(1)
Keywords
uncertainty quantification
(2)
sequence-to-sequence model
(2)
recurrent neural network
(2)
attention mechanism
(2)
large language model
(2)
feature space
(1)
self-supervised learning
(1)
natural language processing
(1)
task-oriented dialogue
(1)
text generation
(1)
deep learning
(1)
instruction tuning
(1)
model calibration
(1)
model identification
(1)
ensemble method
(1)
question answering
(1)
low-resource language
(1)
best practice
(1)
out-of-distribution detection
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conversational ai
(1)
Papers
Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk
ACL 2024
Calibrating Large Language Models Using Their Generations Only
ACL 2024
Non-Exchangeable Conformal Language Generation with Nearest Neighbors
EACL 2024
TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification
ACL 2024
Experimental Standards for Deep Learning in Natural Language Processing Research
EMNLP 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity
EMNLP 2022
Know your limits: Uncertainty estimation with ReLU classifiers fails at reliable OOD detection
UAI 2021
Assessing Incrementality in Sequence-to-Sequence Models
ACL 2019
On the Realization of Compositionality in Neural Networks
ACL 2019