Kiril Gashteovski

46 papers A* 4Journal 22Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
Compositional Steering of Large Language Models with Steering Tokens.
CoRR
Gorjan Radevski, Kiril Gashteovski, Giwon Hong, Carolin Lawrence, Goran Glavas
2026 — conf
TextMineX: Data, Evaluation Framework and Ontology-guided LLM Pipeline for Humanitarian Mine Action.
EACL (Findings)
Chenyue Zhou, Gürkan Solmaz, Flavio Cirillo, Kiril Gashteovski, Jonathan Fürst
2025 — conf
Evaluating Language Models as Synthetic Data Generators.
ACL (1)
Seungone Kim, Juyoung Suk, Xiang Yue, Vijay Viswanathan, Seongyun Lee, Yizhong Wang, Kiril Gashteovski, Carolin Lawrence, Sean Welleck, Graham Neubig
2025 — conf
MEDDxAgent: A Unified Modular Agent Framework for Explainable Automatic Differential Diagnosis.
ACL (1)
Daniel Philip Rose, Chia-Chien Hung, Marco Lepri, Israa Alqassem, Kiril Gashteovski, Carolin Lawrence
2025 J jnl
MEDDxAgent: A Unified Modular Agent Framework for Explainable Automatic Differential Diagnosis.
CoRR
Daniel Philip Rose, Chia-Chien Hung, Marco Lepri, Israa Alqassem, Kiril Gashteovski, Carolin Lawrence
2025 A* conf
Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions.
EMNLP
Emmy Liu, Amanda Bertsch, Lintang Sutawika, Lindia Tjuatja, Patrick Fernandes, Lara Marinov, Michael Chen, Shreya Singhal, Carolin Lawrence, Aditi Raghunathan, Kiril Gashteovski, Graham Neubig
2025 J jnl
Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions.
CoRR
Emmy Liu, Amanda Bertsch, Lintang Sutawika, Lindia Tjuatja, Patrick Fernandes, Lara Marinov, Michael Chen, Shreya Singhal, Carolin Lawrence, Aditi Raghunathan, Kiril Gashteovski, Graham Neubig
2025 — conf
On Synthesizing Data for Context Attribution in Question Answering.
ACL (1)
Gorjan Radevski, Kiril Gashteovski, Shahbaz Syed, Christopher Malon, Sebastien Nicolas, Chia-Chien Hung, Timo Sztyler, Verena Heußer, Wiem Ben Rim, Masafumi Enomoto, Kunihiro Takeoka, Masafumi Oyamada, Goran Glavas, Carolin Lawrence
2025 J jnl
On Synthesizing Data for Context Attribution in Question Answering.
CoRR
Gorjan Radevski, Kiril Gashteovski, Shahbaz Syed, Christopher Malon, Sebastien Nicolas, Chia-Chien Hung, Timo Sztyler, Verena Heußer, Wiem Ben Rim, Masafumi Enomoto, Kunihiro Takeoka, Masafumi Oyamada, Goran Glavas, Carolin Lawrence
2025 J jnl
Scaling Evaluation-time Compute with Reasoning Models as Process Evaluators.
CoRR
Seungone Kim, Ian Wu, Jinu Lee, Xiang Yue, Seongyun Lee, Mingyeong Moon, Kiril Gashteovski, Carolin Lawrence, Julia Hockenmaier, Graham Neubig, Sean Welleck
2025 J jnl
TextMine: LLM-Powered Knowledge Extraction for Humanitarian Mine Action.
CoRR
Chenyue Zhou, Gürkan Solmaz, Flavio Cirillo, Kiril Gashteovski, Jonathan Fürst
2024 — conf
A Human-Centric Assessment of the Usefulness of Attribution Methods in Computer Vision.
ECML/PKDD (5)
Wiem Ben Rim, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Carolin Lawrence, Jürgen Quittek, Sascha Saralajew
2024 — conf
A Human-Centric Evaluation Platform for Explainable Knowledge Graph Completion.
EACL (Demonstrations)
Zhao Xu, Wiem Ben Rim, Kiril Gashteovski, Timo Sztyler, Carolin Lawrence
2024 — conf
AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents.
NAACL (Demonstrations)
Luca Gioacchini, Giuseppe Siracusano, Davide Sanvito, Kiril Gashteovski, David Friede, Roberto Bifulco, Carolin Lawrence
2024 J jnl
AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents.
CoRR
Luca Gioacchini, Giuseppe Siracusano, Davide Sanvito, Kiril Gashteovski, David Friede, Roberto Bifulco, Carolin Lawrence
2024 J jnl
Aligning Generalisation Between Humans and Machines.
CoRR
Filip Ilievski, Barbara Hammer, Frank van Harmelen, Benjamin Paassen, Sascha Saralajew, Ute Schmid, Michael Biehl, Marianna Bolognesi, Xin Luna Dong, Kiril Gashteovski, Pascal Hitzler, Giuseppe Marra, Pasquale Minervini, Martin Mundt, Axel-Cyrille Ngonga Ngomo, Alessandro Oltramari, Gabriella Pasi, Zeynep G. Saribatur, Luciano Serafini, John Shawe-Taylor, Vered Shwartz, Gabriella Skitalinskaya, Clemens Stachl, Gido M. van de Ven, Thomas Villmann
2024 J jnl
Evaluating Language Models as Synthetic Data Generators.
CoRR
Seungone Kim, Juyoung Suk, Xiang Yue, Vijay Viswanathan, Seongyun Lee, Yizhong Wang, Kiril Gashteovski, Carolin Lawrence, Sean Welleck, Graham Neubig
2024 J jnl
Large Language Models Enable Few-Shot Clustering.
Trans. Assoc. Comput. Linguistics
Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence, Tongshuang Wu, Graham Neubig
2024 — conf
Leveraging Open Information Extraction for More Robust Domain Transfer of Event Trigger Detection.
EACL (Findings)
David Dukic, Kiril Gashteovski, Goran Glavas, Jan Snajder
2024 J jnl
LightPAL: Lightweight Passage Retrieval for Open Domain Multi-Document Summarization.
CoRR
Masafumi Enomoto, Kunihiro Takeoka, Kosuke Akimoto, Kiril Gashteovski, Masafumi Oyamada
2024 — conf
Robust Text Classification: Analyzing Prototype-Based Networks.
EMNLP (Findings)
Zhivar Sourati, Darshan Deshpande, Filip Ilievski, Kiril Gashteovski, Sascha Saralajew
2023 J jnl
Large Language Models Enable Few-Shot Clustering.
CoRR
Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence, Tongshuang Wu, Graham Neubig
2023 J jnl
Leveraging Open Information Extraction for Improving Few-Shot Trigger Detection Domain Transfer.
CoRR
David Dukic, Kiril Gashteovski, Goran Glavas, Jan Snajder
2023 A* conf
Linking Surface Facts to Large-Scale Knowledge Graphs.
EMNLP
Gorjan Radevski, Kiril Gashteovski, Chia-Chien Hung, Carolin Lawrence, Goran Glavas
2023 J jnl
Linking Surface Facts to Large-Scale Knowledge Graphs.
CoRR
Gorjan Radevski, Kiril Gashteovski, Chia-Chien Hung, Carolin Lawrence, Goran Glavas
2023 J jnl
Robust Text Classification: Analyzing Prototype-Based Networks.
CoRR
Zhivar Sourati, Darshan Deshpande, Filip Ilievski, Kiril Gashteovski, Sascha Saralajew
2022 J jnl
A Human-Centric Assessment Framework for AI.
CoRR
Sascha Saralajew, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Wiem Ben Rim, Jürgen Quittek, Carolin Lawrence
2022 — conf
AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark.
ACL (demo)
Niklas Friedrich, Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, Goran Glavas
2022 — conf
BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation.
ACL (1)
Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, Goran Glavas
2022 J jnl
Human-Centric Research for NLP: Towards a Definition and Guiding Questions.
CoRR
Bhushan Kotnis, Kiril Gashteovski, Julia Gastinger, Giuseppe Serra, Francesco Alesiani, Timo Sztyler, Ammar Shaker, Na Gong, Carolin Lawrence, Zhao Xu
2022 — conf
KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models.
EMNLP (Demos)
Haris Widjaja, Kiril Gashteovski, Wiem Ben Rim, Pengfei Liu, Christopher Malon, Daniel Ruffinelli, Carolin Lawrence, Graham Neubig
2022 J jnl
KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models.
CoRR
Haris Widjaja, Kiril Gashteovski, Wiem Ben Rim, Pengfei Liu, Christopher Malon, Daniel Ruffinelli, Carolin Lawrence, Graham Neubig
2022 — conf
MILIE: Modular & Iterative Multilingual Open Information Extraction.
ACL (1)
Bhushan Kotnis, Kiril Gashteovski, Daniel Oñoro-Rubio, Ammar Shaker, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert, Carolin Lawrence
2021 J jnl
AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark.
CoRR
Niklas Friedrich, Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, Goran Glavas
2021 — conf
Behavioral Testing of Knowledge Graph Embedding Models for Link Prediction.
AKBC
Wiem Ben Rim, Carolin Lawrence, Kiril Gashteovski, Mathias Niepert, Naoaki Okazaki
2021 J jnl
BenchIE: Open Information Extraction Evaluation Based on Facts, Not Tokens.
CoRR
Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Goran Glavas, Mathias Niepert
2021 — —
Compact open information extraction: methods, corpora, analysis.
Kiril Gashteovski
2021 J jnl
Integrating diverse extraction pathways using iterative predictions for Multilingual Open Information Extraction.
CoRR
Bhushan Kotnis, Kiril Gashteovski, Carolin Lawrence, Daniel Oñoro-Rubio, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert
2020 A* conf
Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link Prediction.
ACL
Samuel Broscheit, Kiril Gashteovski, Yanjie Wang, Rainer Gemulla
2020 — conf
On Aligning OpenIE Extractions with Knowledge Bases: A Case Study.
Eval4NLP
Kiril Gashteovski, Rainer Gemulla, Bhushan Kotnis, Sven Hertling, Christian Meilicke
2019 — conf
EAL: A Toolkit and Dataset for Entity-Aspect Linking.
JCDL
Federico Nanni, Jingyi Zhang, Ferdinand Betz, Kiril Gashteovski
2019 — conf
MinScIE: Citation-Centered Open Information Extraction.
JCDL
Anne Lauscher, Yide Song, Kiril Gashteovski
2019 — conf
OPIEC: An Open Information Extraction Corpus.
AKBC
Kiril Gashteovski, Sebastian Wanner, Sven Hertling, Samuel Broscheit, Rainer Gemulla
2019 J jnl
OPIEC: An Open Information Extraction Corpus.
CoRR
Kiril Gashteovski, Sebastian Wanner, Sven Hertling, Samuel Broscheit, Rainer Gemulla
2017 A* conf
MinIE: Minimizing Facts in Open Information Extraction.
EMNLP
Kiril Gashteovski, Rainer Gemulla, Luciano Del Corro
2017 — conf
OpenIE for Slot Filling at TAC KBP 2017 - System Description.
TAC
Samuel Broscheit, Kiril Gashteovski, Martin Achenbach