Cascaded Span Extraction and Response Generation for Document-Grounded Dialog. - Nico Daheim; David Thulke; Christian Dugast; Hermann Ney (DialDoc@ACL-IJCNLP, 2021)

Efficient Retrieval Augmented Generation from Unstructured Knowledge for Task-Oriented Dialog. - David Thulke; Nico Daheim; Christian Dugast; Hermann Ney (CoRR, 2021)

Adapting Document-Grounded Dialog Systems to Spoken Conversations using Data Augmentation and a Noisy Channel Model. - David Thulke; Nico Daheim; Christian Dugast; Hermann Ney (CoRR, 2021)

Controllable Factuality in Document-Grounded Dialog Systems Using a Noisy Channel Model. - Nico Daheim; David Thulke; Christian Dugast; Hermann Ney (EMNLP (Findings), 2022)

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. - 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; et al. (CoRR, 2022)

Opportunities and Challenges in Neural Dialog Tutoring. - Jakub Macina; Nico Daheim; Lingzhi Wang 001; Tanmay Sinha; Manu Kapur; Iryna Gurevych; Mrinmaya Sachan (EACL, 2023)

Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference. - Vilém Zouhar; Shehzaad Dhuliawala; Wangchunshu Zhou; Nico Daheim; Tom Kocmi; Yuchen Eleanor Jiang; Mrinmaya Sachan (EACL, 2023)

MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems. - Jakub Macina; Nico Daheim; Sankalan Pal Chowdhury; Tanmay Sinha; Manu Kapur; Iryna Gurevych; Mrinmaya Sachan (EMNLP (Findings), 2023)

Uncertainty in Natural Language Generation: From Theory to Applications. - Joris Baan; Nico Daheim; Evgenia Ilia; Dennis Ulmer; Haau-Sing Li; Raquel Fernández; Barbara Plank; Rico Sennrich; Chrysoula Zerva; Wilker Aziz (CoRR, 2023)

Book2Dial: Generating Teacher Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots. - Junling Wang 001; Jakub Macina; Nico Daheim; Sankalan Pal Chowdhury; Mrinmaya Sachan (ACL (Findings), 2024)

Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors. - Nico Daheim; Jakub Macina; Manu Kapur; Iryna Gurevych; Mrinmaya Sachan (EMNLP, 2024)

Model Merging by Uncertainty-Based Gradient Matching. - Nico Daheim; Thomas Möllenhoff; Edoardo M. Ponti; Iryna Gurevych; Mohammad Emtiyaz Khan (ICLR, 2024)

Variational Learning is Effective for Large Deep Networks. - Yuesong Shen; Nico Daheim; Bai Cong; Peter Nickl; Gian Maria Marconi; Clement Bazan; Rio Yokota; Iryna Gurevych; Daniel Cremers; Mohammad Emtiyaz Khan; Thomas Möllenhoff (ICML, 2024)

Elastic Weight Removal for Faithful and Abstractive Dialogue Generation. - Nico Daheim; Nouha Dziri; Mrinmaya Sachan; Iryna Gurevych; Edoardo M. Ponti (NAACL-HLT, 2024)

Socratic Reasoning Improves Positive Text Rewriting. - Anmol Goel; Nico Daheim; Iryna Gurevych (CoRR, 2024)

Variational Low-Rank Adaptation Using IVON. - Bai Cong; Nico Daheim; Yuesong Shen; Daniel Cremers; Rio Yokota; Mohammad Emtiyaz Khan; Thomas Möllenhoff (CoRR, 2024)

How to Weight Multitask Finetuning? Fast Previews via Bayesian Model-Merging. - Hugo Monzón Maldonado; Thomas Möllenhoff; Nico Daheim; Iryna Gurevych; Mohammad Emtiyaz Khan (CoRR, 2024)

Task-Oriented Document-Grounded Dialog Systems by HLTPR@RWTH for DSTC9 and DSTC10. - David Thulke; Nico Daheim; Christian Dugast; Hermann Ney (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Uncertainty-Aware Decoding with Minimum Bayes Risk. - Nico Daheim; Clara Meister; Thomas Möllenhoff; Iryna Gurevych (ICLR, 2025)

Token Weighting for Long-Range Language Modeling. - Falko Helm; Nico Daheim; Iryna Gurevych (NAACL (Findings), 2025)

MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors. - Jakub Macina; Nico Daheim; Ido Hakimi; Manu Kapur; Iryna Gurevych; Mrinmaya Sachan (CoRR, 2025)

A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs. - Artem Shelmanov; Ekaterina Fadeeva; Akim Tsvigun; Ivan Tsvigun; Zhuohan Xie; Igor Kiselev; Nico Daheim; Caiqi Zhang; Artem Vazhentsev; Mrinmaya Sachan; Preslav Nakov; Timothy Baldwin (CoRR, 2025)

From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning. - David Dinucu-Jianu; Jakub Macina; Nico Daheim; Ido Hakimi; Iryna Gurevych; Mrinmaya Sachan (CoRR, 2025)

Improving LoRA with Variational Learning. - Bai Cong; Nico Daheim; Yuesong Shen; Rio Yokota; Mohammad Emtiyaz Khan; Thomas Möllenhoff (CoRR, 2025)