Nico Daheim - RankMe

41 papers A* 7A 2Journal 26Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs. EMNLP Artem Shelmanov, Ekaterina Fadeeva, Akim Tsvigun, Ivan Tsvigun, Zhuohan Xie, Igor Kiselev, Nico Daheim, Caiqi Zhang, Artem Vazhentsev, Mrinmaya Sachan, Preslav Nakov, Timothy Baldwin
2025	J	`jnl`	A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs. CoRR Artem Shelmanov, Ekaterina Fadeeva, Akim Tsvigun, Ivan Tsvigun, Zhuohan Xie, Igor Kiselev, Nico Daheim, Caiqi Zhang, Artem Vazhentsev, Mrinmaya Sachan, Preslav Nakov, Timothy Baldwin
2025	A*	`conf`	From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning. EMNLP David Dinucu-Jianu, Jakub Macina, Nico Daheim, Ido Hakimi, Iryna Gurevych, Mrinmaya Sachan
2025	J	`jnl`	From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning. CoRR David Dinucu-Jianu, Jakub Macina, Nico Daheim, Ido Hakimi, Iryna Gurevych, Mrinmaya Sachan
2025	J	`jnl`	Improving LoRA with Variational Learning. CoRR Bai Cong, Nico Daheim, Yuesong Shen, Rio Yokota, Mohammad Emtiyaz Khan, Thomas Möllenhoff
2025	A*	`conf`	MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors. EMNLP Jakub Macina, Nico Daheim, Ido Hakimi, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan
2025	J	`jnl`	MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors. CoRR Jakub Macina, Nico Daheim, Ido Hakimi, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan
2025	J	`jnl`	SVRG and Beyond via Posterior Correction. CoRR Nico Daheim, Thomas Möllenhoff, Ming Liang Ang, Mohammad Emtiyaz Khan
2025	—	`conf`	Token Weighting for Long-Range Language Modeling. NAACL (Findings) Falko Helm, Nico Daheim, Iryna Gurevych
2025	J	`jnl`	Token Weighting for Long-Range Language Modeling. CoRR Falko Helm, Nico Daheim, Iryna Gurevych
2025	A*	`conf`	Uncertainty-Aware Decoding with Minimum Bayes Risk. ICLR Nico Daheim, Clara Meister, Thomas Möllenhoff, Iryna Gurevych
2025	J	`jnl`	Uncertainty-Aware Decoding with Minimum Bayes Risk. CoRR Nico Daheim, Clara Meister, Thomas Möllenhoff, Iryna Gurevych
2024	—	`conf`	Book2Dial: Generating Teacher Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots. ACL (Findings) Junling Wang, Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Mrinmaya Sachan
2024	J	`jnl`	Book2Dial: Generating Teacher-Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots. CoRR Junling Wang, Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Mrinmaya Sachan
2024	—	`conf`	Elastic Weight Removal for Faithful and Abstractive Dialogue Generation. NAACL-HLT Nico Daheim, Nouha Dziri, Mrinmaya Sachan, Iryna Gurevych, Edoardo M. Ponti
2024	J	`jnl`	How to Weight Multitask Finetuning? Fast Previews via Bayesian Model-Merging. CoRR Hugo Monzón Maldonado, Thomas Möllenhoff, Nico Daheim, Iryna Gurevych, Mohammad Emtiyaz Khan
2024	A*	`conf`	Model Merging by Uncertainty-Based Gradient Matching. ICLR Nico Daheim, Thomas Möllenhoff, Edoardo M. Ponti, Iryna Gurevych, Mohammad Emtiyaz Khan
2024	J	`jnl`	Socratic Reasoning Improves Positive Text Rewriting. CoRR Anmol Goel, Nico Daheim, Iryna Gurevych
2024	A*	`conf`	Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors. EMNLP Nico Daheim, Jakub Macina, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan
2024	J	`jnl`	Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors. CoRR Nico Daheim, Jakub Macina, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan
2024	J	`jnl`	Task-Oriented Document-Grounded Dialog Systems by HLTPR@RWTH for DSTC9 and DSTC10. IEEE ACM Trans. Audio Speech Lang. Process. David Thulke, Nico Daheim, Christian Dugast, Hermann Ney
2024	A*	`conf`	Variational Learning is Effective for Large Deep Networks. ICML Yuesong Shen, Nico Daheim, Bai Cong, Peter Nickl, Gian Maria Marconi, Clement Bazan, Rio Yokota, Iryna Gurevych, Daniel Cremers, Mohammad Emtiyaz Khan, Thomas Möllenhoff
2024	J	`jnl`	Variational Learning is Effective for Large Deep Networks. CoRR Yuesong Shen, Nico Daheim, Bai Cong, Peter Nickl, Gian Maria Marconi, Clement Bazan, Rio Yokota, Iryna Gurevych, Daniel Cremers, Mohammad Emtiyaz Khan, Thomas Möllenhoff
2024	J	`jnl`	Variational Low-Rank Adaptation Using IVON. CoRR Bai Cong, Nico Daheim, Yuesong Shen, Daniel Cremers, Rio Yokota, Mohammad Emtiyaz Khan, Thomas Möllenhoff
2023	J	`jnl`	Elastic Weight Removal for Faithful and Abstractive Dialogue Generation. CoRR Nico Daheim, Nouha Dziri, Mrinmaya Sachan, Iryna Gurevych, Edoardo M. Ponti
2023	—	`conf`	MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems. EMNLP (Findings) Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan
2023	J	`jnl`	MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems. CoRR Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan
2023	J	`jnl`	Model Merging by Uncertainty-Based Gradient Matching. CoRR Nico Daheim, Thomas Möllenhoff, Edoardo Maria Ponti, Iryna Gurevych, Mohammad Emtiyaz Khan
2023	A	`conf`	Opportunities and Challenges in Neural Dialog Tutoring. EACL Jakub Macina, Nico Daheim, Lingzhi Wang, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan
2023	J	`jnl`	Opportunities and Challenges in Neural Dialog Tutoring. CoRR Jakub Macina, Nico Daheim, Lingzhi Wang, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan
2023	A	`conf`	Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference. EACL Vilém Zouhar, Shehzaad Dhuliawala, Wangchunshu Zhou, Nico Daheim, Tom Kocmi, Yuchen Eleanor Jiang, Mrinmaya Sachan
2023	J	`jnl`	Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference. CoRR Vilém Zouhar, Shehzaad Dhuliawala, Wangchunshu Zhou, Nico Daheim, Tom Kocmi, Yuchen Eleanor Jiang, Mrinmaya Sachan
2023	J	`jnl`	Task-oriented Document-Grounded Dialog Systems by HLTPR@RWTH for DSTC9 and DSTC10. CoRR David Thulke, Nico Daheim, Christian Dugast, Hermann Ney
2023	J	`jnl`	Uncertainty in Natural Language Generation: From Theory to Applications. CoRR Joris Baan, Nico Daheim, Evgenia Ilia, Dennis Ulmer, Haau-Sing Li, Raquel Fernández, Barbara Plank, Rico Sennrich, Chrysoula Zerva, Wilker Aziz
2022	—	`conf`	Controllable Factuality in Document-Grounded Dialog Systems Using a Noisy Channel Model. EMNLP (Findings) Nico Daheim, David Thulke, Christian Dugast, Hermann Ney
2022	J	`jnl`	Controllable Factuality in Document-Grounded Dialog Systems Using a Noisy Channel Model. CoRR Nico Daheim, David Thulke, Christian Dugast, Hermann Ney
2022	J	`jnl`	GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. CoRR 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, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir R. Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh D. Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek, Paul Pu Liang, Pawan Sasanka Ammanamanchi, Qi Zhu, Ratish Puduppully, Reno Kriz, Rifat Shahriyar, Ronald Cardenas, Saad Mahamood, Salomey Osei, Samuel Cahyawijaya, Sanja Stajner, Sébastien Montella, Shailza Jolly, Simon Mille, Tahmid Hasan, Tianhao Shen, Tosin P. AMahidewumi, Vikas Raunak, Vipul Raheja, Vitaly Nikolaev, Vivian Tsai, Yacine Jernite, Ying Xu, Yisi Sang, Yixin Liu, Yufang Hou
2021	J	`jnl`	Adapting Document-Grounded Dialog Systems to Spoken Conversations using Data Augmentation and a Noisy Channel Model. CoRR David Thulke, Nico Daheim, Christian Dugast, Hermann Ney
2021	—	`conf`	Cascaded Span Extraction and Response Generation for Document-Grounded Dialog. DialDoc@ACL-IJCNLP Nico Daheim, David Thulke, Christian Dugast, Hermann Ney
2021	J	`jnl`	Cascaded Span Extraction and Response Generation for Document-Grounded Dialog. CoRR Nico Daheim, David Thulke, Christian Dugast, Hermann Ney
2021	J	`jnl`	Efficient Retrieval Augmented Generation from Unstructured Knowledge for Task-Oriented Dialog. CoRR David Thulke, Nico Daheim, Christian Dugast, Hermann Ney