HITS' Monolingual and Cross-lingual Entity Linking System at TAC 2013. - Angela Fahrni; Benjamin Heinzerling; Thierry Göckel; Michael Strube 001 (TAC, 2013)

Visual Error Analysis for Entity Linking. - Benjamin Heinzerling; Michael Strube 001 (ACL (System Demonstrations), 2015)

HITS at TAC KBP 2015: Entity Discovery and Linking, and Event Nugget Detection. - Benjamin Heinzerling; Alex Judea; Michael Strube 001 (TAC, 2015)

Trust, but Verify! Better Entity Linking through Automatic Verification. - Benjamin Heinzerling; Michael Strube 001; Chin-Yew Lin (EACL (1), 2017)

Revisiting Selectional Preferences for Coreference Resolution. - Benjamin Heinzerling; Nafise Sadat Moosavi; Michael Strube 001 (EMNLP, 2017)

BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages. - Benjamin Heinzerling; Michael Strube 001 (LREC, 2018)

What's Important in a Text? An Extensive Evaluation of Linguistic Annotations for Summarization. - Markus Zopf; Teresa Botschen; Tobias Falke; Benjamin Heinzerling; Ana Marasovic; Todor Mihaylov; Avinesh P. V. S.; Eneldo Loza Mencía; Johannes Fürnkranz; Anette Frank (SNAMS, 2018)

Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation. - Benjamin Heinzerling; Michael Strube 001 (ACL (1), 2019)

On the Importance of Subword Information for Morphological Tasks in Truly Low-Resource Languages. - Yi Zhu; Benjamin Heinzerling; Ivan Vulic; Michael Strube 001; Roi Reichart; Anna Korhonen (CoNLL, 2019)

Fine-Grained Entity Typing in Hyperbolic Space. - Federico López 002; Benjamin Heinzerling; Michael Strube 001 (RepL4NLP@ACL, 2019)

Riposte! A Large Corpus of Counter-Arguments. - Paul Reisert; Benjamin Heinzerling; Naoya Inoue; Shun Kiyono; Kentaro Inui (CoRR, 2019)

When Choosing Plausible Alternatives, Clever Hans can be Clever. - Pride Kavumba; Naoya Inoue; Benjamin Heinzerling; Keshav Singh; Paul Reisert; Kentaro Inui (CoRR, 2019)

Aspects of Coherence for Entity Analysis - Benjamin Heinzerling (2019)

Language Models as Knowledge Bases: On Entity Representations, Storage Capacity, and Paraphrased Queries. - Benjamin Heinzerling; Kentaro Inui (EACL, 2021)

Learning to Learn to be Right for the Right Reasons. - Pride Kavumba; Benjamin Heinzerling; Ana Brassard; Kentaro Inui (NAACL-HLT, 2021)

Cross-stitching Text and Knowledge Graph Encoders for Distantly Supervised Relation Extraction. - Qin Dai; Benjamin Heinzerling; Kentaro Inui (EMNLP, 2022)

COPA-SSE: Semi-structured Explanations for Commonsense Reasoning. - Ana Brassard; Benjamin Heinzerling; Pride Kavumba; Kentaro Inui (LREC, 2022)

Can LMs Store and Retrieve 1-to-N Relational Knowledge? - Haruki Nagasawa; Benjamin Heinzerling; Kazuma Kokuta; Kentaro Inui (ACL (student), 2023)

Prompting for explanations improves Adversarial NLI. Is this true? Yes it is true because it weakens superficial cues. - Pride Kavumba; Ana Brassard; Benjamin Heinzerling; Kentaro Inui (EACL (Findings), 2023)

Test-time Augmentation for Factual Probing. - Go Kamoda; Benjamin Heinzerling; Keisuke Sakaguchi; Kentaro Inui (EMNLP (Findings), 2023)

Tracing and Manipulating Intermediate Values in Neural Math Problem Solvers. - Yuta Matsumoto; Benjamin Heinzerling; Masashi Yoshikawa; Kentaro Inui (CoRR, 2023)

Examining the effect of whitening on static and contextualized word embeddings. - Shota Sasaki; Benjamin Heinzerling; Jun Suzuki 001; Kentaro Inui (Inf. Process. Manag., 2023)

Monotonic Representation of Numeric Attributes in Language Models. - Benjamin Heinzerling; Kentaro Inui (ACL (Short Papers), 2024)

Representational Analysis of Binding in Language Models. - Qin Dai; Benjamin Heinzerling; Kentaro Inui (EMNLP, 2024)

Monotonic Representation of Numeric Properties in Language Models. - Benjamin Heinzerling; Kentaro Inui (CoRR, 2024)

ACORN: Aspect-wise Commonsense Reasoning Explanation Evaluation. - Ana Brassard; Benjamin Heinzerling; Keito Kudo; Keisuke Sakaguchi; Kentaro Inui (CoRR, 2024)

The Curse of Popularity: Popular Entities have Catastrophic Side Effects when Deleting Knowledge from Language Models. - Ryosuke Takahashi; Go Kamoda; Benjamin Heinzerling; Keisuke Sakaguchi; Kentaro Inui (CoRR, 2024)

Representational Analysis of Binding in Large Language Models. - Qin Dai; Benjamin Heinzerling; Kentaro Inui (CoRR, 2024)

Library-Like Behavior In Language Models is Enhanced by Self-Referencing Causal Cycles. - Munachiso Nwadike; Zangir Iklassov; Toluwani Aremu; Tatsuya Hiraoka; Benjamin Heinzerling; Velibor Bojkovic; Hilal AlQuabeh; Martin Takác 001; Kentaro Inui (ACL (1), 2025)

On Entity Identification in Language Models. - Masaki Sakata; Benjamin Heinzerling; Sho Yokoi; Takumi Ito; Kentaro Inui (ACL (Findings), 2025)

The Geometry of Numerical Reasoning: Language Models Compare Numeric Properties in Linear Subspaces. - Ahmed Oumar El-Shangiti; Tatsuya Hiraoka; Hilal AlQuabeh; Benjamin Heinzerling; Kentaro Inui (NAACL (Short Papers), 2025)

Weight-based Analysis of Detokenization in Language Models: Understanding the First Stage of Inference Without Inference. - Go Kamoda; Benjamin Heinzerling; Tatsuro Inaba; Keito Kudo; Keisuke Sakaguchi; Kentaro Inui (NAACL (Findings), 2025)

RECALL: Library-Like Behavior In Language Models is Enhanced by Self-Referencing Causal Cycles. - Munachiso Nwadike; Zangir Iklassov; Toluwani Aremu; Tatsuya Hiraoka; Velibor Bojkovic; Benjamin Heinzerling; Hilal Alqaubeh; Martin Takác 001; Kentaro Inui (CoRR, 2025)

How LLMs Learn: Tracing Internal Representations with Sparse Autoencoders. - Tatsuro Inaba; Kentaro Inui; Yusuke Miyao; Yohei Oseki; Benjamin Heinzerling; Yu Takagi (CoRR, 2025)

Understanding Fact Recall in Language Models: Why Two-Stage Training Encourages Memorization but Mixed Training Teaches Knowledge. - Ying Zhang; Benjamin Heinzerling; Dongyuan Li; Ryoma Ishigaki; Yuta Hitomi; Kentaro Inui (CoRR, 2025)

Do LLMs Need to Think in One Language? Correlation between Latent Language and Task Performance. - Shintaro Ozaki; Tatsuya Hiraoka; Hiroto Otake; Hiroki Ouchi; Masaru Isonuma; Benjamin Heinzerling; Kentaro Inui; Taro Watanabe; Yusuke Miyao; Yohei Oseki; Yu Takagi (CoRR, 2025)

TopK Language Models. - Ryosuke Takahashi; Tatsuro Inaba; Kentaro Inui; Benjamin Heinzerling (CoRR, 2025)