Le, P. (2015) Enhancing the Inside-Outside Recursive Neural Network Reranker for Dependency Parsing.

In IWPT 2015 : 14th International Conference on Parsing Technologies: proceedings of the conference : July 22-24, 2015, Bilbao, Spain (pp 87-91). Association for Computational Linguistics.

Lê, Phong (2016) Learning vector representations for sentences: The recursive deep learning approach.

Thesis, fully internal | UvA-DARE

Leal, R.A. (2008) Predicate liftings versus nabla modalities.

Electronic Notes in Theoretical Computer Science, Vol. 203 (pp 195-220)

Article | https://doi.org/10.1016/j.entcs.2008.05.026 | UvA-DARE

Leal, R.A. (2011) Modalities through the looking glass: a study on coalgebraic modal logics and their applications.

Institute for Logic, Language and Computation.

Thesis, fully internal | UvA-DARE

Lee, S., Bloem, J. (2023) Comparing domain-specific and domain-general BERT variants for inferred real-world knowledge through rare grammatical features in Serbian.

In Piskorski, J. Marcińczuk, M. Nakov, P. Ogrodniczuk, M. Pollak, S. Přibáň, P. Rybak, P. Steinberger, J. Yangarber, R. (Eds.), The 9th Workshop on Slavic Natural Language Processing 2023: EACL 2023 : proceedings of the workshop (SlavicNLP 2023) : May 6, 2023 (pp 47-60). Association for Computational Linguistics.

Lee, S., Bloem, J. (2024) Impact of Task Adapting on Transformer Models for Targeted Sentiment Analysis in Croatian Headlines.

In Calzolari, N. Kan, M.-Y. Hoste, V. Lenci, A. Sakti, S. Xue, N. (Eds.), The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024): main conference proceedings : 20-25 May, 2024, Torino, Italia (pp 8662–8674) (COLING
LREC). ELRA Language Resources Association.

Lee, T., Prakash, A., de Wolf, R., Yuen, H. (2016) On the sum-of-squares degree of symmetric quadratic functions.

In Raz, R. (Eds.), 31st Conference on Computational Complexity: CCC'16, May 29 to June 1, 2016, Tokyo, Japan (Leibniz International Proceedings in Informatics, Vol. 50). Schloss Dagstuhl - Leibniz-Zentrum für Informatik.

Lee, T., Romashchenko, A. (2004) On Polynomially Time Bounded Symmetry of Information.

In Fiala, J. Koubek, V. Kratochvíl, J. (Eds.), Mathematical Foundations of Computer Science 2004: 29th International Symposium, MFCS 2004, Prague, Czech Republic, August 22-27, 2004 : proceedings (pp 463-475) (Lecture Notes in Computer Science, Vol. 3153). Springer.

Lee, T., Wei, Z., de Wolf, R. (2017) Some upper and lower bounds on PSD-rank.

Mathematical programming, Vol. 162 (pp 495-521)

Article | https://doi.org/10.1007/s10107-016-1052-0 | UvA-DARE

Lee, T.J., Romashchenko, A. (2005) Resource bounded symmetry of information revisited.

Theoretical Computer Science, Vol. 345 (pp 386-405)

Article | https://doi.org/10.1016/j.tcs.2005.07.017 | UvA-DARE

Lee, T.J. (2002) Arithmetical Definability over Finite Structures.

Technical Reports. Institute for Logic, Language and Computation.

Working paper | UvA-DARE

Lee, T.J. (2003) Arithmetical definability over finite structures.

Mathematical Logic Quarterly, Vol. 49 (pp 385-392)

Article | https://doi.org/10.1002/malq.200310041 | UvA-DARE

Lee, T.J. (2006) Kolmogorov Complexity and formula size lower bounds.

ILLC.

Thesis, fully internal | UvA-DARE

Leffel, T., Cremers, A., Gotzner, N., Romoli, J. (2019) Vagueness in Implicature: The Case of Modified Adjectives.

Journal of Semantics, Vol. 36 (pp 317-348)

Article | https://doi.org/10.1093/jos/ffy020 | UvA-DARE

Leidinger, A.J., Rogers, R. (2023) Which Stereotypes Are Moderated and Under-Moderated in Search Engine Autocompletion?.

In FAccT '23: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency (pp 1049–1061). Association for Computing Machinery.

Leidinger, A.J., Rogers, R. (2024) How Are LLMs Mitigating Stereotyping Harms? Learning from Search Engine Studies.

In Das, S. Green, B.P. Varshney, K. Ganapini, M. Renda, A. (Eds.), Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society: AIES-24 (pp 839-854). AAAI Press.

Leidinger, A.J., van Rooij, R., Shutova, E. (2023) The Language of Prompting: What linguistic properties make a prompt successful?.

Paper | https://arxiv.org/abs/2311.01967 | UvA-DARE

Leidinger, A.J., van Rooij, R., Shutova, E. (2024) Are LLMs classical or nonmonotonic reasoners? Lessons from generics.

In Ku, L.-W. Martins, A. Srikumar, V. (Eds.), The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) : proceedings of the conference: ACL 2024 : August 11-16, 2024 (pp 558-573). Association for Computational Linguistics.

Leidinger, A.J. (2022) Generating stereotypes from implicitly hateful posts.

Working paper | UvA-DARE

Leidinger, A.J. (2025) Towards language models that benefit us all: Studies on stereotypes, robustness, and values.

Thesis, fully internal | UvA-DARE