MinIE: Minimizing Facts in Open Information Extraction. - Kiril Gashteovski; Rainer Gemulla; Luciano Del Corro (EMNLP, 2017)

OpenIE for Slot Filling at TAC KBP 2017 - System Description. - Samuel Broscheit; Kiril Gashteovski; Martin Achenbach (TAC, 2017)

OPIEC: An Open Information Extraction Corpus. - Kiril Gashteovski; Sebastian Wanner; Sven Hertling; Samuel Broscheit; Rainer Gemulla (AKBC, 2019)

MinScIE: Citation-Centered Open Information Extraction. - Anne Lauscher; Yide Song; Kiril Gashteovski (JCDL, 2019)

EAL: A Toolkit and Dataset for Entity-Aspect Linking. - Federico Nanni; Jingyi Zhang; Ferdinand Betz; Kiril Gashteovski (JCDL, 2019)

Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link Prediction. - Samuel Broscheit; Kiril Gashteovski; Yanjie Wang; Rainer Gemulla (ACL, 2020)

On Aligning OpenIE Extractions with Knowledge Bases: A Case Study. - Kiril Gashteovski; Rainer Gemulla; Bhushan Kotnis; Sven Hertling; Christian Meilicke (Eval4NLP, 2020)

Behavioral Testing of Knowledge Graph Embedding Models for Link Prediction. - Wiem Ben Rim; Carolin Lawrence; Kiril Gashteovski; Mathias Niepert; Naoaki Okazaki (AKBC, 2021)

BenchIE: Open Information Extraction Evaluation Based on Facts, Not Tokens. - Kiril Gashteovski; Mingying Yu; Bhushan Kotnis; Carolin Lawrence; Goran Glavas; Mathias Niepert (CoRR, 2021)

Integrating diverse extraction pathways using iterative predictions for Multilingual Open Information Extraction. - Bhushan Kotnis; Kiril Gashteovski; Carolin Lawrence; Daniel Oñoro-Rubio; Vanesa Rodriguez-Tembras; Makoto Takamoto; Mathias Niepert (CoRR, 2021)

Compact open information extraction: methods, corpora, analysis. - Kiril Gashteovski (2021)

AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark. - Niklas Friedrich; Kiril Gashteovski; Mingying Yu; Bhushan Kotnis; Carolin Lawrence; Mathias Niepert; Goran Glavas (ACL (demo), 2022)

BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation. - Kiril Gashteovski; Mingying Yu; Bhushan Kotnis; Carolin Lawrence; Mathias Niepert; Goran Glavas (ACL (1), 2022)

MILIE: Modular & Iterative Multilingual Open Information Extraction. - Bhushan Kotnis; Kiril Gashteovski; Daniel Oñoro-Rubio; Ammar Shaker; Vanesa Rodriguez-Tembras; Makoto Takamoto; Mathias Niepert; Carolin Lawrence (ACL (1), 2022)

KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models. - Haris Widjaja; Kiril Gashteovski; Wiem Ben Rim; Pengfei Liu 003; Christopher Malon; Daniel Ruffinelli; Carolin Lawrence; Graham Neubig (EMNLP (Demos), 2022)

A Human-Centric Assessment Framework for AI. - Sascha Saralajew; Ammar Shaker; Zhao Xu 001; Kiril Gashteovski; Bhushan Kotnis; Wiem Ben Rim; Jürgen Quittek; Carolin Lawrence (CoRR, 2022)

Human-Centric Research for NLP: Towards a Definition and Guiding Questions. - Bhushan Kotnis; Kiril Gashteovski; Julia Gastinger; Giuseppe Serra 002; Francesco Alesiani; Timo Sztyler; Ammar Shaker; Na Gong; Carolin Lawrence; Zhao Xu 001 (CoRR, 2022)

Linking Surface Facts to Large-Scale Knowledge Graphs. - Gorjan Radevski; Kiril Gashteovski; Chia-Chien Hung; Carolin Lawrence; Goran Glavas (EMNLP, 2023)

Leveraging Open Information Extraction for Improving Few-Shot Trigger Detection Domain Transfer. - David Dukic; Kiril Gashteovski; Goran Glavas; Jan Snajder (CoRR, 2023)

Leveraging Open Information Extraction for More Robust Domain Transfer of Event Trigger Detection. - David Dukic; Kiril Gashteovski; Goran Glavas; Jan Snajder (EACL (Findings), 2024)

A Human-Centric Evaluation Platform for Explainable Knowledge Graph Completion. - Zhao Xu 001; Wiem Ben Rim; Kiril Gashteovski; Timo Sztyler; Carolin Lawrence (EACL (Demonstrations), 2024)

Robust Text Classification: Analyzing Prototype-Based Networks. - Zhivar Sourati; Darshan Deshpande; Filip Ilievski; Kiril Gashteovski; Sascha Saralajew (EMNLP (Findings), 2024)

AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents. - Luca Gioacchini; Giuseppe Siracusano; Davide Sanvito; Kiril Gashteovski; David Friede; Roberto Bifulco; Carolin Lawrence (NAACL (Demonstrations), 2024)

A Human-Centric Assessment of the Usefulness of Attribution Methods in Computer Vision. - Wiem Ben Rim; Ammar Shaker; Zhao Xu 001; Kiril Gashteovski; Bhushan Kotnis; Carolin Lawrence; Jürgen Quittek; Sascha Saralajew (ECML/PKDD (5), 2024)

LightPAL: Lightweight Passage Retrieval for Open Domain Multi-Document Summarization. - Masafumi Enomoto; Kunihiro Takeoka; Kosuke Akimoto; Kiril Gashteovski; Masafumi Oyamada (CoRR, 2024)

Aligning Generalisation Between Humans and Machines. - 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; et al. (CoRR, 2024)

Large Language Models Enable Few-Shot Clustering. - Vijay Viswanathan 002; Kiril Gashteovski; Carolin Lawrence; Tongshuang Wu; Graham Neubig (Trans. Assoc. Comput. Linguistics, 2024)

Evaluating Language Models as Synthetic Data Generators. - Seungone Kim; Juyoung Suk; Xiang Yue; Vijay Viswanathan 002; Seongyun Lee; Yizhong Wang; Kiril Gashteovski; Carolin Lawrence; Sean Welleck; Graham Neubig (ACL (1), 2025)

On Synthesizing Data for Context Attribution in Question Answering. - 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; et al. (ACL (1), 2025)

MEDDxAgent: A Unified Modular Agent Framework for Explainable Automatic Differential Diagnosis. - Daniel Philip Rose; Chia-Chien Hung; Marco Lepri; Israa Alqassem; Kiril Gashteovski; Carolin Lawrence (ACL (1), 2025)

Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions. - Emmy Liu; Amanda Bertsch; Lintang Sutawika; Lindia Tjuatja; Patrick Fernandes; Lara Marinov; Michael Chen; Shreya Singhal; Carolin Lawrence; Aditi Raghunathan; Kiril Gashteovski; Graham Neubig (CoRR, 2025)

Scaling Evaluation-time Compute with Reasoning Models as Process Evaluators. - Seungone Kim; Ian Wu; Jinu Lee; Xiang Yue; Seongyun Lee; Mingyeong Moon; Kiril Gashteovski; Carolin Lawrence; Julia Hockenmaier; Graham Neubig; Sean Welleck (CoRR, 2025)