Reto Gubelmann
Title
Dr.
Last Name
Gubelmann
First name
Reto
Email
reto.gubelmann@unisg.ch
Phone
+41 71 224 75 25
22 results
Now showing 1 - 10 of 22
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Item type:Publication, Gedanken zur Auslegungsmethodik im Zeitalter von LLMsDer Beitrag stellt die normzentrierte Auslegungsmethodik in Frage und rückt an ihre Stelle den Begründungszusammenhang aus Anwendungsprämissen und Schlussfolgerungen. Vor diesem Hintergrund untersuchen die Autoren, was Sprachmodelle bereits leisten und wo sie an Grenzen stossen, namentlich beim begründeten Abweichen von etablierten Normen und bei der Einzelfallgerechtigkeit.Type:journal articleJournal:St.Gallen Law ReviewVolume:2026Issue:1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Cross-Lingual Keyword Extraction for Pesticide Terminology in Brazilian Portuguese and English(Sociedade Brasileira de Computacao - SB, 2025-10-09) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Large Language Models, Agency, and Why Speech Acts are Beyond Them (For Now) - A Kantian-Cum-Pragmatist CaseThis article sets in with the question whether current or foreseeable transformer-based large language models (LLMs), such as the ones powering OpenAI's ChatGPT, could be language users in a way comparable to humans. It answers the question negatively, presenting the following argument. Apart from niche uses, to use language means to act. But LLMs are unable to act because they lack intentions. This, in turn, is because they are the wrong kind of being: agents with intentions need to be autonomous organisms while LLMs are heteronomous mechanisms. To conclude, the article argues, based on structural aspects of transformer-based LLMs, that these LLMs have taken a first step away from mechanistic artificiality to autonomous self-constitution, which means that these models are (slowly) moving into a direction that someday might result in non-human, but equally non-artificial agents, thus subverting the time-honored Kantian distinction between organism and mechanism.Type:journal articleJournal:Philosophy & TechnologyScopus© Citations 32 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Capturing the Varieties of Natural Language Inference: A Systematic Survey of Existing Datasets and Two Novel Benchmarks(2023-11-20); ; Transformer-based Pre-Trained Language Models currently dominate the field of Natural Language Inference (NLI). We first survey existing NLI datasets, and we systematize them according to the different kinds of logical inferences that are being distinguished. This shows two gaps in the current dataset landscape, which we propose to address with one dataset that has been developed in argumentative writing research as well as a new one building on syllogistic logic. Throughout, we also explore the promises of ChatGPT. Our results show that our new datasets do pose a challenge to existing methods and models, including ChatGPT, and that tackling this challenge via fine-tuning yields only partly satisfactory results.Type:journal articleJournal:Journal of Logic, Language and InformationScopus© Citations 21 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Loosely Wittgensteinian Conception of the Linguistic Understanding of Large Language Models like BERT, GPT-3, and ChatGPTIn this article, I develop a loosely Wittgensteinian conception of what it takes for a being, including an AI system, to understand language, and I suggest that current state of the art systems are closer to fulfilling these requirements than one might think. Developing and defending this claim has both empirical and conceptual aspects. The conceptual aspects concern the criteria that are reasonably applied when judging whether some being understands language; the empirical aspects concern the question whether a given being fulfills these criteria. On the conceptual side, the article builds on Glock’s concept of intelligence, Taylor’s conception of intrinsic rightness as well as Wittgenstein’s rule-following considerations. On the empirical side, it is argued that current transformer-based NNLP models, such as BERT and GPT-3 come close to fulfilling these criteria.Type:journal articleJournal:Grazer Philosophische StudienVolume:99Issue:4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Context Matters: A Pragmatic Study of PLMs’ Negation UnderstandingIn linguistics, there are two main perspectives on negation: a semantic and a pragmatic view. So far, research in NLP on negation has almost exclusively adhered to the semantic view. In this article, we adopt the pragmatic paradigm to conduct a study of negation understanding focusing on transformer-based PLMs. Our results differ from previous, semantics-based studies and therefore help to contribute a more comprehensive – and, given the results, much more optimistic – picture of the PLMs’ negation understanding.Type:journal articleJournal:Proceedings of the 60th Annual Meeting of the Association for Computational LinguisticsVolume:1Scopus© Citations 27 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, - Some of the metrics are blocked by yourconsent settings
Item type:Publication, On What it Means to Pay Your Fair Share: Towards Automatically
Mapping Different Conceptions of Tax Justice in Legal Research Literature(2022-11); ; ; Type:journal article - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Philosophically-Informed Contribution to the Generalization Problem of Neural Natural Language Inference: Shallow Heuristics, Bias, and the Varieties of Inference(Association for Computational Linguistics, 2022); ; Type:journal article - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Exploring the Promises of Tranformer-Based LMs for the Representation of Normative Claims in the Legal DomainType:journal articleIssue:arXiv:2108.11215
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