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Dive into the research topics where Yonatan Belinkov is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Are Formal and Functional Linguistic Mechanisms Dissociated in Language Models?
Hanna, M., Belinkov, Y. & Pezzelle, S., Mar 2026, In: Computational Linguistics. 52, 1, p. 43-83 41 p.Research output: Contribution to journal › Article › peer-review
Open Access -
The Quest for the Right Mediator: Surveying Mechanistic Interpretability for NLP Through the Lens of Causal Mediation Analysis
Mueller, A., Brinkmann, J., Li, M., Marks, S., Pal, K., Prakash, N., Rager, C., Sankaranarayanan, A., Sharma, A. S., Sun, J., Todd, E., Bau, D. & Belinkov, Y., Mar 2026, In: Computational Linguistics. 52, 1, p. 331-378 48 p.Research output: Contribution to journal › Article › peer-review
Open Access -
ANSWER, ASSEMBLE, ACE: UNDERSTANDING HOW LMS ANSWER MULTIPLE CHOICE QUESTIONS
Wiegreffe, S., Tafjord, O., Belinkov, Y., Hajishirzi, H. & Sabharwal, A., 2025, 13th International Conference on Learning Representations, ICLR 2025. p. 11512-11537 26 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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ARITHMETIC WITHOUT ALGORITHMS: LANGUAGE MODELS SOLVE MATH WITH A BAG OF HEURISTICS
Nikankin, Y., Reusch, A., Mueller, A. & Belinkov, Y., 2025, 13th International Conference on Learning Representations, ICLR 2025. p. 63598-63624 27 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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BetaAlign: a deep learning approach for multiple sequence alignment
Dotan, E., Wygoda, E., Ecker, N., Alburquerque, M., Avram, O., Belinkov, Y. & Pupko, T., 1 Jan 2025, In: Bioinformatics. 41, 1, btaf009.Research output: Contribution to journal › Article › peer-review
Open Access