🧑‍🔬 Vid Kocijan

🏛️ Affiliations

🎓University of OxfordOxford · United Kingdom2019–2021 · 7 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. A Surprisingly Robust Trick for the Winograd Schema Challenge (2019 · 121 citations)
   The paper addresses the Winograd Schema Challenge, a test in which a system must decide which of two candidate nouns an ambiguous pronoun refers to.
2. WikiCREM: A Large Unsupervised Corpus for Coreference Resolution (2019 · 41 citations)
   Hard pronoun resolution is when syntax alone cannot reveal the referent. Neural models need large training sets for it, but existing hard benchmarks are small and often serve only as test sets. The authors propose an unsupervised way to build such data automatically. They search English Wikipedia for one- or…
3. Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns (2023 · 5 citations)
   Coreference datasets that measure gender bias usually have one of two weaknesses. Some are built from hand-written sentences, as WinoBias and WinoGender are. Others, like GAP, collect real text but cannot pair masculine and feminine cases. In GAP, the feminine items happen to be harder, so a score gap may reflect…

All works

8 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. A Surprisingly Robust Trick for the Winograd Schema ChallengeAnnual Meeting of the Association for Computational Linguistics (ACL)Vid Kocijan, Ana-Maria Cretu, Oana-Maria Camburu, et al.2019 · 121 citations
2. WikiCREM: A Large Unsupervised Corpus for Coreference ResolutionConference on Empirical Methods in Natural Language Processing (EMNLP)Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, et al.2019 · 41 citations
3. A Review of Winograd Schema Challenge Datasets and Approaches ↗arXiv:2004.13831 · no summary yetVid Kocijan et al.2020 · 35 citations
4. PyG 2.0: Scalable Learning on Real World Graphs ↗arXiv (Cornell University) · no summary yetMatthias Fey et al.2025 · 15 citations
5. PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning ↗arXiv (Cornell University) · no summary yetWeihua Hu et al.2024 · 10 citations
6. Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous PronounsConference of the European Chapter of the Association for Computational Linguistics (EACL)Zhongbin Xie, Vid Kocijan, Thomas Lukasiewicz, et al.2023 · 5 citations
7. KumoRFM-2: Scaling Foundation Models for Relational Learning ↗arXiv (Cornell University) · no summary yetValter Hudovernik et al.2026 · 3 citations
8. Predictive Query Language: A Domain-Specific Language for Predictive Modeling on Relational Databases ↗arXiv (Cornell University) · no summary yetVid Kocijan et al.2026 · 3 citations

🤝 Co-authors here

5 co-authors with a page, the most papers together first.

• Oana-Maria Camburu ×3
• Thomas Lukasiewicz ×3
• Ana-Maria Cretu ×2
• Yordan Yordanov ×2
• Phil Blunsom

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2019
• Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2023
• Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2019

🔗 Cited by

Papers of our library cite their works 97 times (of the 149,439 papers whose bibliographies we read); 17 citing papers with a page here →.

Updated 30 October 2026

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