A Surprisingly Robust Trick for the Winograd Schema Challenge. - Vid Kocijan; Ana-Maria Cretu 002; Oana-Maria Camburu; Yordan Yordanov; Thomas Lukasiewicz (ACL (1), 2019)

WikiCREM: A Large Unsupervised Corpus for Coreference Resolution. - Vid Kocijan; Oana-Maria Camburu; Ana-Maria Cretu 002; Yordan Yordanov; Phil Blunsom; Thomas Lukasiewicz (EMNLP/IJCNLP (1), 2019)

Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction. - Patrick Hohenecker; Frank Mtumbuka; Vid Kocijan; Thomas Lukasiewicz (EMNLP (1), 2020)

Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution. - Yordan Yordanov; Oana-Maria Camburu; Vid Kocijan; Thomas Lukasiewicz (EMNLP (1), 2020)

A Review of Winograd Schema Challenge Datasets and Approaches. - Vid Kocijan; Thomas Lukasiewicz; Ernest Davis; Gary Marcus 001; Leora Morgenstern (CoRR, 2020)

The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets. - Vid Kocijan; Oana-Maria Camburu; Thomas Lukasiewicz (AAAI, 2021)

Knowledge Base Completion Meets Transfer Learning. - Vid Kocijan; Thomas Lukasiewicz (EMNLP (1), 2021)

Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations. - Yordan Yordanov; Vid Kocijan; Thomas Lukasiewicz; Oana-Maria Camburu (CoRR, 2021)

Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup. - Yordan Yordanov; Vid Kocijan; Thomas Lukasiewicz; Oana-Maria Camburu (EMNLP (Findings), 2022)

Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns. - Zhongbin Xie; Vid Kocijan; Thomas Lukasiewicz; Oana-Maria Camburu (EACL, 2023)

The defeat of the Winograd Schema Challenge. - Vid Kocijan; Ernest Davis; Thomas Lukasiewicz; Gary Marcus 001; Leora Morgenstern (Artif. Intell., 2023)

The Defeat of the Winograd Schema Challenge (Abstract Reprint). - Vid Kocijan; Ernest Davis; Thomas Lukasiewicz; Gary Marcus 001; Leora Morgenstern (AAAI, 2024)

Pre-training and diagnosing knowledge base completion models. - Vid Kocijan; Myeongjun Erik Jang; Thomas Lukasiewicz (Artif. Intell., 2024)

PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning. - Weihua Hu; Yiwen Yuan; Zecheng Zhang; Akihiro Nitta; Kaidi Cao; Vid Kocijan; Jure Leskovec; Matthias Fey (CoRR, 2024)

PyG 2.0: Scalable Learning on Real World Graphs. - Matthias Fey; Jinu Sunil; Akihiro Nitta; Rishi Puri; Manan Shah; Blaz Stojanovic; Ramona Bendias; Alexandria Barghi; Vid Kocijan; Zecheng Zhang; Xinwei He; Jan Eric Lenssen; et al. (CoRR, 2025)