Negated LAMA: Birds cannot fly. - Nora Kassner; Hinrich Schütze (CoRR, 2019)

Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly. - Nora Kassner; Hinrich Schütze (ACL, 2020)

Are Pretrained Language Models Symbolic Reasoners over Knowledge? - Nora Kassner; Benno Krojer; Hinrich Schütze (CoNLL, 2020)

BERT-kNN: Adding a kNN Search Component to Pretrained Language Models for Better QA. - Nora Kassner; Hinrich Schütze (EMNLP (Findings), 2020)

Dirichlet-Smoothed Word Embeddings for Low-Resource Settings. - Jakob Jungmaier; Nora Kassner; Benjamin Roth 001 (LREC, 2020)

Pre-trained Language Models as Symbolic Reasoners over Knowledge? - Nora Kassner; Benno Krojer; Hinrich Schütze (CoRR, 2020)

Language Models As or For Knowledge Bases. - Simon Razniewski; Andrew Yates; Nora Kassner; Gerhard Weikum (DL4KG@ISWC, 2021)

Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models. - Nora Kassner; Philipp Dufter; Hinrich Schütze (EACL, 2021)

BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief. - Nora Kassner; Oyvind Tafjord; Hinrich Schütze; Peter Clark (EMNLP (1), 2021)

Static Embeddings as Efficient Knowledge Bases? - Philipp Dufter; Nora Kassner; Hinrich Schütze (NAACL-HLT, 2021)

Enriching a Model's Notion of Belief using a Persistent Memory. - Nora Kassner; Oyvind Tafjord; Hinrich Schütze; Peter Clark (CoRR, 2021)

Measuring and Improving Consistency in Pretrained Language Models. - Yanai Elazar; Nora Kassner; Shauli Ravfogel; Abhilasha Ravichander; Eduard H. Hovy; Hinrich Schütze; Yoav Goldberg (Trans. Assoc. Comput. Linguistics, 2021)

Erratum: Measuring and Improving Consistency in Pretrained Language Models. - Yanai Elazar; Nora Kassner; Shauli Ravfogel; Abhilasha Ravichander; Eduard H. Hovy; Hinrich Schütze; Yoav Goldberg (Trans. Assoc. Comput. Linguistics, 2021)

EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing. - Nora Kassner; Fabio Petroni; Mikhail Plekhanov; Sebastian Riedel 001; Nicola Cancedda (EMNLP, 2022)

Measuring Causal Effects of Data Statistics on Language Model's 'Factual' Predictions. - Yanai Elazar; Nora Kassner; Shauli Ravfogel; Amir Feder; Abhilasha Ravichander; Marius Mosbach; Yonatan Belinkov; Hinrich Schütze; Yoav Goldberg (CoRR, 2022)

Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages. - Ayyoob Imani; Peiqin Lin; Amir Hossein Kargaran; Silvia Severini; Masoud Jalili Sabet; Nora Kassner; Chunlan Ma; Helmut Schmid; André F. T. Martins; François Yvon; Hinrich Schütze (ACL (1), 2023)

Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings. - Mattia Atzeni; Mikhail Plekhanov; Frédéric A. Dreyer; Nora Kassner; Simone Merello; Louis Martin; Nicola Cancedda (EMNLP, 2023)

Language Models with Rationality. - Nora Kassner; Oyvind Tafjord; Ashish Sabharwal; Kyle Richardson 001; Hinrich Schütze; Peter Clark (EMNLP, 2023)

Multilingual End to End Entity Linking. - Mikhail Plekhanov; Nora Kassner; Kashyap Popat; Louis Martin; Simone Merello; Borislav Kozlovskii; Frédéric A. Dreyer; Nicola Cancedda (CoRR, 2023)

Do Large Language Models Latently Perform Multi-Hop Reasoning? - Sohee Yang; Elena Gribovskaya; Nora Kassner; Mor Geva; Sebastian Riedel 001 (ACL (1), 2024)

Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts? - Sohee Yang; Nora Kassner; Elena Gribovskaya; Sebastian Riedel 001; Mor Geva (ACL (Findings), 2025)

How Well Can Reasoning Models Identify and Recover from Unhelpful Thoughts? - Sohee Yang; Sang-Woo Lee; Nora Kassner; Daniela Gottesman; Sebastian Riedel 001; Mor Geva (CoRR, 2025)