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Nico Daheim
Nico Daheim
TU Darmstadt, ETH Zürich, ELLIS
Verified email at ukp.informatik.tu-darmstadt.de
Title
Cited by
Cited by
Year
Efficient retrieval augmented generation from unstructured knowledge for task-oriented dialog
D Thulke, N Daheim, C Dugast, H Ney
arXiv preprint arXiv:2102.04643, 2021
462021
MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems
J Macina*, N Daheim*, SP Chowdhury*, T Sinha, M Kapur, I Gurevych, ...
EMNLP Findings 2023, 2023
372023
Model Merging by Uncertainty-Based Gradient Matching
N Daheim, T Möllenhoff, EM Ponti, I Gurevych, ME Khan
ICLR 2024, 2023
272023
Uncertainty in natural language generation: From theory to applications
J Baan*, N Daheim*, E Ilia*, D Ulmer*, HS Li, R Fernández, B Plank, ...
arXiv preprint arXiv:2307.15703, 2023
262023
Elastic weight removal for faithful and abstractive dialogue generation
N Daheim, N Dziri, M Sachan, I Gurevych, EM Ponti
NAACL 2024, 2023
232023
Opportunities and Challenges in Neural Dialog Tutoring
J Macina*, N Daheim*, L Wang, T Sinha, M Kapur, I Gurevych, M Sachan
EACL 2023, 2023
232023
Gemv2: Multilingual nlg benchmarking in a single line of code
S Gehrmann, A Bhattacharjee, A Mahendiran, A Wang, A Papangelis, ...
EMNLP 2022 Demo, 2022
162022
Cascaded span extraction and response generation for document-grounded dialog
N Daheim, D Thulke, C Dugast, H Ney
arXiv preprint arXiv:2106.07275, 2021
92021
Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference
V Zouhar, S Dhuliawala, W Zhou, N Daheim, T Kocmi, YE Jiang, ...
EACL 2023, 2023
62023
Controllable Factuality in Document-Grounded Dialog Systems Using a Noisy Channel Model
N Daheim, D Thulke, C Dugast, H Ney
EMNLP Findings 2022, 2022
52022
Adapting document-grounded dialog systems to spoken conversations using data augmentation and a noisy channel model
D Thulke, N Daheim, C Dugast, H Ney
arXiv preprint arXiv:2112.08844, 2021
52021
Book2Dial: Generating Teacher-Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots
J Wang, J Macina, N Daheim, SP Chowdhury, M Sachan
ACL Findings 2024, 2024
42024
Variational Learning is Effective for Large Deep Networks
Y Shen*, N Daheim*, B Cong, P Nickl, GM Marconi, C Bazan, R Yokota, ...
ICML 2024 (Spotlight), 2024
42024
Task-Oriented Document-Grounded Dialog Systems by HLTPR@ RWTH for DSTC9 and DSTC10
D Thulke, N Daheim, C Dugast, H Ney
IEEE/ACM Transactions on Audio, Speech, and Language Processing 32, 733-741, 2023
32023
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors
N Daheim, J Macina, M Kapur, I Gurevych, M Sachan
EMNLP 2024, 2024
12024
Socratic Reasoning Improves Positive Text Rewriting
A Goel, N Daheim, I Gurevych
arXiv preprint arXiv:2403.03029, 2024
2024
Variational Low-Rank Adaptation Using IVON
B Cong, N Daheim, Y Shen, D Cremers, R Yokota, ME Khan, T Möllenhoff
NeurIPS 2024 Workshop on Fine-Tuning in Modern Machine Learning: Principles …, 0
Model Merging by Gradient Matching
N Daheim, T Möllenhoff, E Ponti, I Gurevych, ME Khan
UniReps: the First Workshop on Unifying Representations in Neural Models, 0
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Articles 1–18