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Benjamin Heinzerling
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2020 – today
- 2026
[c24]Qin Dai, Benjamin Heinzerling, Kentaro Inui:
Cell-Based Representation of Relational Binding in Language Models. ACL (1) 2026: 47464-47524
[i32]Masaki Sakata, Benjamin Heinzerling, Takumi Ito, Sho Yokoi, Kentaro Inui:
Linear Representations of Hierarchical Concepts in Language Models. CoRR abs/2604.07886 (2026)
[i31]Joe Stacey, Hadas Orgad, Kentaro Inui, Benjamin Heinzerling, Nafise Sadat Moosavi:
Hidden Failures in Robustness: Why Supervised Uncertainty Quantification Needs Better Evaluation. CoRR abs/2604.11662 (2026)
[i30]Qin Dai, Benjamin Heinzerling, Kentaro Inui:
Cell-Based Representation of Relational Binding in Language Models. CoRR abs/2604.19052 (2026)
[i29]Mutsumi Sasaki, Go Kamoda, Ryosuke Takahashi, Kosuke Sato, Kentaro Inui, Keisuke Sakaguchi, Benjamin Heinzerling:
Language Models Compare Quantities Using Number-specific and Unit-specific Heuristics. CoRR abs/2606.03982 (2026)- 2025
[c23]Masaki Sakata, Benjamin Heinzerling, Sho Yokoi, Takumi Ito, Kentaro Inui:
On Entity Identification in Language Models. ACL (Findings) 2025: 16717-16741
[c22]Munachiso Nwadike, Zangir Iklassov, Toluwani Aremu, Tatsuya Hiraoka, Benjamin Heinzerling, Velibor Bojkovic, Hilal AlQuabeh, Martin Takác, Kentaro Inui:
Library-Like Behavior In Language Models is Enhanced by Self-Referencing Causal Cycles. ACL (1) 2025: 25365-25377
[c21]Tatsuro Inaba, Go Kamoda, Kentaro Inui, Masaru Isonuma, Yusuke Miyao, Yohei Oseki, Yu Takagi, Benjamin Heinzerling:
How a Bilingual LM Becomes Bilingual: Tracing Internal Representations with Sparse Autoencoders. EMNLP (Findings) 2025: 13458-13470
[c20]Mutsumi Sasaki, Go Kamoda, Ryosuke Takahashi, Kosuke Sato, Kentaro Inui, Keisuke Sakaguchi
, Benjamin Heinzerling:
Can Language Models Handle a Non-Gregorian Calendar? The Case of the Japanese wareki. IJCNLP-AACL (Short Papers) 2025: 444-463
[c19]Ahmed Oumar El-Shangiti, Tatsuya Hiraoka, Hilal AlQuabeh, Benjamin Heinzerling, Kentaro Inui:
The Geometry of Numerical Reasoning: Language Models Compare Numeric Properties in Linear Subspaces. NAACL (Short Papers) 2025: 550-561
[c18]Go Kamoda, Benjamin Heinzerling, Tatsuro Inaba, Keito Kudo, Keisuke Sakaguchi, Kentaro Inui:
Weight-based Analysis of Detokenization in Language Models: Understanding the First Stage of Inference Without Inference. NAACL (Findings) 2025: 6324-6343
[i28]Munachiso Nwadike, Zangir Iklassov, Toluwani Aremu, Tatsuya Hiraoka
, Velibor Bojkovic, Benjamin Heinzerling, Hilal Alqaubeh, Martin Takác, Kentaro Inui:
RECALL: Library-Like Behavior In Language Models is Enhanced by Self-Referencing Causal Cycles. CoRR abs/2501.13491 (2025)
[i27]Go Kamoda, Benjamin Heinzerling, Tatsuro Inaba, Keito Kudo, Keisuke Sakaguchi, Kentaro Inui:
Weight-based Analysis of Detokenization in Language Models: Understanding the First Stage of Inference Without Inference. CoRR abs/2501.15754 (2025)
[i26]Tatsuro Inaba, Kentaro Inui, Yusuke Miyao, Yohei Oseki, Benjamin Heinzerling, Yu Takagi:
How LLMs Learn: Tracing Internal Representations with Sparse Autoencoders. CoRR abs/2503.06394 (2025)
[i25]Ying Zhang, Benjamin Heinzerling, Dongyuan Li, Ryoma Ishigaki, Yuta Hitomi, Kentaro Inui:
Understanding Fact Recall in Language Models: Why Two-Stage Training Encourages Memorization but Mixed Training Teaches Knowledge. CoRR abs/2505.16178 (2025)
[i24]Shintaro Ozaki, Tatsuya Hiraoka
, Hiroto Otake, Hiroki Ouchi, Masaru Isonuma, Benjamin Heinzerling, Kentaro Inui, Taro Watanabe, Yusuke Miyao, Yohei Oseki, Yu Takagi:
Do LLMs Need to Think in One Language? Correlation between Latent Language and Task Performance. CoRR abs/2505.21458 (2025)
[i23]Masaki Sakata, Benjamin Heinzerling, Sho Yokoi, Takumi Ito, Kentaro Inui:
On Entity Identification in Language Models. CoRR abs/2506.02701 (2025)
[i22]Ryosuke Takahashi
, Tatsuro Inaba, Kentaro Inui, Benjamin Heinzerling:
TopK Language Models. CoRR abs/2506.21468 (2025)
[i21]Mutsumi Sasaki, Go Kamoda, Ryosuke Takahashi
, Kosuke Sato, Kentaro Inui, Keisuke Sakaguchi, Benjamin Heinzerling:
Can Language Models Handle a Non-Gregorian Calendar? CoRR abs/2509.04432 (2025)- 2024
[c17]Benjamin Heinzerling, Kentaro Inui:
Monotonic Representation of Numeric Attributes in Language Models. ACL (Short Papers) 2024: 175-195
[c16]Qin Dai, Benjamin Heinzerling, Kentaro Inui:
Representational Analysis of Binding in Language Models. EMNLP 2024: 17468-17493
[i20]Benjamin Heinzerling
, Kentaro Inui:
Monotonic Representation of Numeric Properties in Language Models. CoRR abs/2403.10381 (2024)
[i19]Ana Brassard, Benjamin Heinzerling
, Keito Kudo, Keisuke Sakaguchi, Kentaro Inui:
ACORN: Aspect-wise Commonsense Reasoning Explanation Evaluation. CoRR abs/2405.04818 (2024)
[i18]Ryosuke Takahashi
, Go Kamoda, Benjamin Heinzerling
, Keisuke Sakaguchi
, Kentaro Inui:
The Curse of Popularity: Popular Entities have Catastrophic Side Effects when Deleting Knowledge from Language Models. CoRR abs/2406.06032 (2024)
[i17]Qin Dai, Benjamin Heinzerling, Kentaro Inui:
Representational Analysis of Binding in Large Language Models. CoRR abs/2409.05448 (2024)
[i16]Ahmed Oumar El-Shangiti, Tatsuya Hiraoka
, Hilal AlQuabeh, Benjamin Heinzerling, Kentaro Inui:
The Geometry of Numerical Reasoning: Language Models Compare Numeric Properties in Linear Subspaces. CoRR abs/2410.13194 (2024)- 2023
[j2]Shota Sasaki, Benjamin Heinzerling
, Jun Suzuki
, Kentaro Inui
:
Examining the effect of whitening on static and contextualized word embeddings. Inf. Process. Manag. 60(3): 103272 (2023)
[j1]Yuta Matsumoto, Benjamin Heinzerling, Masashi Yoshikawa, Kentaro Inui:
Tracing and Manipulating Intermediate Results in Neural Math Problem Solvers. J. Nat. Lang. Process. 30(4): 1151-1171 (2023)
[c15]Haruki Nagasawa, Benjamin Heinzerling, Kazuma Kokuta, Kentaro Inui:
Can LMs Store and Retrieve 1-to-N Relational Knowledge? ACL (student) 2023: 130-138
[c14]Pride Kavumba, Ana Brassard, Benjamin Heinzerling, Kentaro Inui:
Prompting for explanations improves Adversarial NLI. Is this true? Yes it is true because it weakens superficial cues. EACL (Findings) 2023: 2120-2135
[c13]Go Kamoda, Benjamin Heinzerling, Keisuke Sakaguchi
, Kentaro Inui:
Test-time Augmentation for Factual Probing. EMNLP (Findings) 2023: 3650-3661
[i15]Yuta Matsumoto, Benjamin Heinzerling
, Masashi Yoshikawa, Kentaro Inui:
Tracing and Manipulating Intermediate Values in Neural Math Problem Solvers. CoRR abs/2301.06758 (2023)
[i14]Go Kamoda, Benjamin Heinzerling
, Keisuke Sakaguchi, Kentaro Inui:
Test-time Augmentation for Factual Probing. CoRR abs/2310.17121 (2023)- 2022
[c12]Qin Dai, Benjamin Heinzerling, Kentaro Inui:
Cross-stitching Text and Knowledge Graph Encoders for Distantly Supervised Relation Extraction. EMNLP 2022: 6947-6958
[c11]Ana Brassard, Benjamin Heinzerling, Pride Kavumba, Kentaro Inui:
COPA-SSE: Semi-structured Explanations for Commonsense Reasoning. LREC 2022: 3994-4000
[i13]Ana Brassard, Benjamin Heinzerling, Pride Kavumba, Kentaro Inui:
COPA-SSE: Semi-structured Explanations for Commonsense Reasoning. CoRR abs/2201.06777 (2022)
[i12]Qin Dai, Benjamin Heinzerling
, Kentaro Inui:
Cross-stitching Text and Knowledge Graph Encoders for Distantly Supervised Relation Extraction. CoRR abs/2211.01432 (2022)- 2021
[c10]Benjamin Heinzerling, Kentaro Inui:
Language Models as Knowledge Bases: On Entity Representations, Storage Capacity, and Paraphrased Queries. EACL 2021: 1772-1791
[c9]Pride Kavumba, Benjamin Heinzerling, Ana Brassard, Kentaro Inui:
Learning to Learn to be Right for the Right Reasons. NAACL-HLT 2021: 3890-3898
[i11]Pride Kavumba, Benjamin Heinzerling, Ana Brassard, Kentaro Inui:
Learning to Learn to be Right for the Right Reasons. CoRR abs/2104.11514 (2021)- 2020
[i10]Benjamin Heinzerling, Kentaro Inui:
Language Models as Knowledge Bases: On Entity Representations, Storage Capacity, and Paraphrased Queries. CoRR abs/2008.09036 (2020)
2010 – 2019
- 2019
[b1]Benjamin Heinzerling:
Aspects of Coherence for Entity Analysis. Heidelberg University, Germany, 2019
[c8]Benjamin Heinzerling, Michael Strube:
Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation. ACL (1) 2019: 273-291
[c7]Yi Zhu, Benjamin Heinzerling, Ivan Vulic, Michael Strube, Roi Reichart, Anna Korhonen:
On the Importance of Subword Information for Morphological Tasks in Truly Low-Resource Languages. CoNLL 2019: 216-226
[c6]Federico López, Benjamin Heinzerling, Michael Strube:
Fine-Grained Entity Typing in Hyperbolic Space. RepL4NLP@ACL 2019: 169-180
[i9]Benjamin Heinzerling, Michael Strube:
Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation. CoRR abs/1906.01569 (2019)
[i8]Federico López, Benjamin Heinzerling, Michael Strube:
Fine-Grained Entity Typing in Hyperbolic Space. CoRR abs/1906.02505 (2019)
[i7]Yi Zhu, Benjamin Heinzerling, Ivan Vulic, Michael Strube, Roi Reichart, Anna Korhonen:
On the Importance of Subword Information for Morphological Tasks in Truly Low-Resource Languages. CoRR abs/1909.12375 (2019)
[i6]Paul Reisert, Benjamin Heinzerling, Naoya Inoue, Shun Kiyono, Kentaro Inui:
Riposte! A Large Corpus of Counter-Arguments. CoRR abs/1910.03246 (2019)
[i5]Pride Kavumba, Naoya Inoue, Benjamin Heinzerling, Keshav Singh, Paul Reisert, Kentaro Inui:
When Choosing Plausible Alternatives, Clever Hans can be Clever. CoRR abs/1911.00225 (2019)- 2018
[c5]Benjamin Heinzerling, Michael Strube:
BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages. LREC 2018
[c4]Markus Zopf, Teresa Botschen, Tobias Falke
, Benjamin Heinzerling
, Ana Marasovic, Todor Mihaylov, Avinesh P. V. S., Eneldo Loza Mencía, Johannes Fürnkranz
, Anette Frank:
What's Important in a Text? An Extensive Evaluation of Linguistic Annotations for Summarization. SNAMS 2018: 272-277- 2017
[c3]Benjamin Heinzerling
, Michael Strube, Chin-Yew Lin:
Trust, but Verify! Better Entity Linking through Automatic Verification. EACL (1) 2017: 828-838
[c2]Benjamin Heinzerling
, Nafise Sadat Moosavi
, Michael Strube:
Revisiting Selectional Preferences for Coreference Resolution. EMNLP 2017: 1332-1339
[i4]Benjamin Heinzerling, Nafise Sadat Moosavi, Michael Strube:
Revisiting Selectional Preferences for Coreference Resolution. CoRR abs/1707.06456 (2017)
[i3]Benjamin Heinzerling, Michael Strube:
BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages. CoRR abs/1710.02187 (2017)- 2015
[c1]Benjamin Heinzerling
, Michael Strube:
Visual Error Analysis for Entity Linking. ACL (System Demonstrations) 2015: 37-42
[i2]Benjamin Heinzerling, Alex Judea, Michael Strube:
HITS at TAC KBP 2015: Entity Discovery and Linking, and Event Nugget Detection. TAC 2015- 2013
[i1]Angela Fahrni, Benjamin Heinzerling, Thierry Göckel, Michael Strube:
HITS' Monolingual and Cross-lingual Entity Linking System at TAC 2013. TAC 2013
Coauthor Index

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last updated on 2026-07-08 01:35 CEST by the dblp team
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