| Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection Corpus H Schuff, J Barnes, J Mohme, S Padó, R Klinger Proceedings of the 8th Workshop on Computational Approaches to Subjectivity …, 2017 | 126 | 2017 |
| Bare-Handed 3D Drawing in Augmented Reality JJ Dudley, H Schuff, PO Kristensson Proceedings of the 2018 Designing Interactive Systems Conference, 241-252, 2018 | 44 | 2018 |
| Human interpretation of saliency-based explanation over text H Schuff, A Jacovi, H Adel, Y Goldberg, NT Vu Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 37 | 2022 |
| EMGuitar: Assisting Guitar Playing with Electromyography J Karolus, H Schuff, T Kosch, PW Wozniak, A Schmidt Proceedings of the 2018 Designing Interactive Systems Conference, 651-655, 2018 | 32 | 2018 |
| Input controls for entering uncertain data: Probability distribution sliders M Greis, H Schuff, M Kleiner, N Henze, A Schmidt Proceedings of the ACM on Human-Computer Interaction 1 (EICS), 1-17, 2017 | 30 | 2017 |
| How to do human evaluation: A brief introduction to user studies in NLP H Schuff, L Vanderlyn, H Adel, NT Vu Natural Language Engineering 29 (5), 1199-1222, 2023 | 25 | 2023 |
| Decision-making under uncertainty: How the amount of presented uncertainty influences user behavior M Greis, PE Agroudy, H Schuff, T Machulla, A Schmidt Proceedings of the 9th Nordic Conference on Human-Computer Interaction, 1-4, 2016 | 25* | 2016 |
| Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic Prompting T Beck, H Schuff, A Lauscher, I Gurevych Proceedings of the 18th Conference of the European Chapter of the …, 2024 | 21 | 2024 |
| F1 is not enough! models and evaluation towards user-centered explainable question answering H Schuff, H Adel, NT Vu Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 19 | 2020 |
| How (Not) to Use Sociodemographic Information for Subjective NLP Tasks T Beck, H Schuff, A Lauscher, I Gurevych arXiv preprint arXiv:2309.07034, 2023 | 15 | 2023 |
| Detecting uncertain input using physiological sensing and behavioral measurements M Greis, J Karolus, H Schuff, PW Woźniak, N Henze Proceedings of the 16th International Conference on Mobile and Ubiquitous …, 2017 | 13 | 2017 |
| Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings H Schuff, HY Yang, H Adel, NT Vu arXiv preprint arXiv:2109.07833, 2021 | 12 | 2021 |
| How are Prompts Different in Terms of Sensitivity? S Lu, H Schuff, I Gurevych arXiv preprint arXiv:2311.07230, 2023 | 11 | 2023 |
| Challenges in Explanation Quality Evaluation H Schuff, H Adel, P Qi, NT Vu arXiv preprint arXiv:2210.07126, 2022 | 5* | 2022 |
| Neighboring Words Affect Human Interpretation of Saliency Explanations A Jacovi, H Schuff, H Adel, NT Vu, Y Goldberg arXiv preprint arXiv:2305.02679, 2023 | 4 | 2023 |
| Explainable question answering beyond F1: metrics, models and human evaluation H Schuff | 4 | 2020 |
| LLM Roleplay: Simulating Human-Chatbot Interaction H Tamoyan, H Schuff, I Gurevych arXiv preprint arXiv:2407.03974, 2024 | 2 | 2024 |
| Device and method for classifying a signal and/or for performing regression analysis on a signal H Schuff, H Adel-vu, NT Vu US Patent App. 17/831,750, 2023 | 2 | 2023 |
| Explaining Pre-Trained Language Models with Attribution Scores: An Analysis in Low-Resource Settings W Zhou, H Adel, H Schuff, NT Vu arXiv preprint arXiv:2403.05338, 2024 | 1 | 2024 |
| Human-centered explainable artificial intelligence for natural language processing H Schuff Dissertation, Stuttgart, Universität Stuttgart, 2023, 2024 | 1 | 2024 |
Thang VuUniversity of StuttgartVerified email at ims.uni-stuttgart.de
