Exploring the Promises of Transformer-Based LMs for the Representation of Normative Claims in the Legal Domain. - Reto Gubelmann; Peter Hongler; Siegfried Handschuh (CoRR, 2021)

On What it Means to Pay Your Fair Share: Towards Automatically Mapping Different Conceptions of Tax Justice in Legal Research Literature. - Reto Gubelmann; Peter Hongler; Elina Margadant; Siegfried Handschuh (NLLP@EMNLP, 2022)

Context Matters: A Pragmatic Study of PLMs' Negation Understanding. - Reto Gubelmann; Siegfried Handschuh (ACL (1), 2022)

Uncovering More Shallow Heuristics: Probing the Natural Language Inference Capacities of Transformer-Based Pre-Trained Language Models Using Syllogistic Patterns. - Reto Gubelmann; Siegfried Handschuh (CoRR, 2022)

Computer Supported Argumentation Learning: Design of a Learning Scenario in Academic Writing by Means of a Conjecture Map. - Michael Burkhard; Sabine Seufert; Reto Gubelmann; Christina Niklaus; Patcharin Panjaburee (CSEDU (1), 2023)

When Truth Matters - Addressing Pragmatic Categories in Natural Language Inference (NLI) by Large Language Models (LLMs). - Reto Gubelmann; Aikaterini-Lida Kalouli; Christina Niklaus; Siegfried Handschuh (*SEM@ACL, 2023)

Exploring the Usefulness of Open and Proprietary LLMs in Argumentative Writing Support. - Reto Gubelmann; Michael Burkhard; Rositsa V. Ivanova; Christina Niklaus; Bernhard Bermeitinger; Siegfried Handschuh (AIED Companion (2), 2024)

Pragmatic Norms Are All You Need - Why The Symbol Grounding Problem Does Not Apply to LLMs. - Reto Gubelmann (EMNLP, 2024)

Capturing the Varieties of Natural Language Inference: A Systematic Survey of Existing Datasets and Two Novel Benchmarks. - Reto Gubelmann; Ioannis Katis; Christina Niklaus; Siegfried Handschuh (J. Log. Lang. Inf., 2024)

Assessing Reliability and Political Bias In LLMs' Judgements of Formal and Material Inferences With Partisan Conclusions. - Reto Gubelmann; Ghassen Karray (ACL (1), 2025)

The Shift from Logic to Dialectic in Argumentation Theory: Implications for Computational Argument Quality Assessment. - Rositsa V. Ivanova; Reto Gubelmann (COLING, 2025)

Sentence Smith: Formally Controllable Text Transformation and its Application to Evaluation of Text Embedding Models. - Hongji Li; Andrianos Michail; Reto Gubelmann; Simon Clematide; Juri Opitz (CoRR, 2025)