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ORCIDDaniel Ruffinelli
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2020 – today
- 2026
[i6]Pedro Ortiz Suarez, Laurie Burchell, Catherine Arnett, Rafael Mosquera Gómez, Sara Hincapié Monsalve, Thom Vaughan, Damian Stewart, Malte Ostendorff, Idris Abdulmumin, Vukosi Marivate, Shamsuddeen Hassan Muhammad, Atnafu Lambebo Tonja, Hend Al-Khalifa, Nadia Ghezaiel Hammouda, Verrah Otiende, Tack Hwa Wong, Jakhongir Saydaliev, Melika Nobakhtian, Muhammad Ravi Shulthan Habibi, Chalamalasetti Kranti, Carol Muchemi, Khang Nguyen, Faisal Muhammad Adam, Luis Frentzen Salim, Reem Alqifari, Cynthia Amol, Joseph Marvin Imperial, Ilker Kesen, Ahmad Mustafid, Pavel Stepachev, Leshem Choshen, David Anugraha, Hamada Nayel, Seid Muhie Yimam, Vallerie Alexandra Putra, My Chiffon Nguyen, Azmine Toushik Wasi, Gouthami Vadithya, Rob van der Goot, Lanwenn Ar C'horr, Karan Dua, Andrew Yates, Mithil Bangera, Yeshil Bangera, Hitesh Laxmichand Patel, Shu Okabe, Fenal Ashokbhai Ilasariya, Dmitry Gaynullin, Genta Indra Winata, Yiyuan Li, Juan Pablo Martínez, Amit Agarwal, Ikhlasul Akmal Hanif, Raia Abu Ahmad, Esther Adenuga, Filbert Aurelian Tjiaranata, Weerayut Buaphet, Michael Anugraha, Sowmya Vajjala, Benjamin Rice, Azril Hafizi Amirudin, Jesujoba O. Alabi, Srikant Panda, Yassine Toughrai, Bruhan Kyomuhendo, Daniel Ruffinelli, Akshata A, Manuel Goulão, Ej Zhou, Ingrid Gabriela Franco Ramirez, Cristina Aggazzotti, Konstantin Dobler, Jun Kevin, Quentin Pagès, Nicholas Andrews, Nuhu Ibrahim, Mattes Ruckdeschel, Amr Keleg, Mike Zhang, Casper Muziri, Saron Samuel, Sotaro Takeshita, Kun Kerdthaisong, Luca Foppiano, Rasul Dent, Tommaso Green, Ahmad Mustapha Wali, Kamohelo Makaaka, Vicky Feliren, Inshirah Idris, Hande Çelikkanat, Abdulhamid Abubakar, Jean Maillard, Benoît Sagot, Thibault Clérice, Kenton Murray, Sarah Luger:
CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data. CoRR abs/2601.18026 (2026)- 2025
- [c12]Alina Klerings, Jannik Brinkmann, Daniel Ruffinelli, Simone Paolo Ponzetto:
Steering Language Models in Multi-Token Generation: A Case Study on Tense and Aspect. EMNLP 2025: 8621-8639 - [c11]Sotaro Takeshita, Yurina Takeshita, Daniel Ruffinelli, Simone Paolo Ponzetto:
Randomly Removing 50% of Dimensions in Text Embeddings has Minimal Impact on Retrieval and Classification Tasks. EMNLP 2025: 27705-27726 - [i5]Sotaro Takeshita, Yurina Takeshita, Daniel Ruffinelli, Simone Paolo Ponzetto:
Randomly Removing 50% of Dimensions in Text Embeddings has Minimal Impact on Retrieval and Classification Tasks. CoRR abs/2508.17744 (2025) - [i4]Alina Klerings, Jannik Brinkmann, Daniel Ruffinelli, Simone Paolo Ponzetto:
Steering Language Models in Multi-Token Generation: A Case Study on Tense and Aspect. CoRR abs/2509.12065 (2025) - 2024
- [i3]Tornike Tsereteli, Daniel Ruffinelli, Simone Paolo Ponzetto:
Enriching Social Science Research via Survey Item Linking. CoRR abs/2412.15831 (2024) - 2023
- [b1]Daniel Ruffinelli:
Knowledge graph embeddings: link prediction and beyond / Ruffinelli Daniel ; Betreuer: Rainer Gemulla. University of Mannheim, Germany, 2023 - 2022
- [c10]Haris Widjaja, Kiril Gashteovski, Wiem Ben Rim, Pengfei Liu, Christopher Malon, Daniel Ruffinelli, Carolin Lawrence, Graham Neubig:
KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models. EMNLP (Demos) 2022: 338-350 - [i2]Haris Widjaja, Kiril Gashteovski, Wiem Ben Rim, Pengfei Liu, Christopher Malon, Daniel Ruffinelli, Carolin Lawrence, Graham Neubig:
KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models. CoRR abs/2208.11024 (2022) - 2020
- [c9]Samuel Broscheit, Daniel Ruffinelli, Adrian Kochsiek, Patrick Betz, Rainer Gemulla
:
LibKGE - A knowledge graph embedding library for reproducible research. EMNLP (Demos) 2020: 165-174 - [c8]Daniel Ruffinelli, Samuel Broscheit, Rainer Gemulla:
You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings. ICLR 2020
2010 – 2019
- 2019
- [c7]Christian Meilicke, Melisachew Wudage Chekol, Daniel Ruffinelli, Heiner Stuckenschmidt:
Anytime Bottom-Up Rule Learning for Knowledge Graph Completion. IJCAI 2019: 3137-3143 - [c6]Christian Meilicke, Melisachew Wudage Chekol, Daniel Ruffinelli, Heiner Stuckenschmidt:
An Introduction to AnyBURL. KI 2019: 244-248 - [c5]Yanjie Wang, Daniel Ruffinelli, Rainer Gemulla, Samuel Broscheit, Christian Meilicke:
On Evaluating Embedding Models for Knowledge Base Completion. RepL4NLP@ACL 2019: 104-112 - 2018
- [c4]Christian Meilicke, Manuel Fink, Yanjie Wang, Daniel Ruffinelli, Rainer Gemulla, Heiner Stuckenschmidt:
Fine-Grained Evaluation of Rule- and Embedding-Based Systems for Knowledge Graph Completion. ISWC (1) 2018: 3-20 - [i1]Yanjie Wang, Daniel Ruffinelli, Samuel Broscheit, Rainer Gemulla:
On Evaluating Embedding Models for Knowledge Base Completion. CoRR abs/1810.07180 (2018) - 2017
- [j1]Daniel Ruffinelli, Benjamín Barán:
Linear nearest neighbor optimization in quantum circuits: a multiobjective perspective. Quantum Inf. Process. 16(9): 220 (2017) - [c3]Christian Meilicke, Daniel Ruffinelli, Andreas Nolle, Heiko Paulheim, Heiner Stuckenschmidt:
Fast ABox Consistency Checking Using Incomplete Reasoning and Caching. RuleML+RR 2017: 168-183 - [c2]Daniel Ruffinelli:
Towards Scalable Ontological Reasoning using Machine Learning. RuleML+RR (Supplement) 2017 - 2016
- [c1]Daniel Ruffinelli, Benjamín Barán:
A multiobjective approach to linear nearest neighbor optimization for 2D quantum circuits. CLEI 2016: 1-8
Coauthor Index
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last updated on 2026-02-24 22:33 CET by the dblp team
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