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Thomas Huber

3 accepted papers

2025

CLEAR: A Comprehensive Linguistic Evaluation of Argument Rewriting by Large Language Models

EMNLP 2025

While LLMs have been extensively studied on general text generation tasks, there is less research on text rewriting, a task related to general text generation, and particularly on the behavior of models on this task. In this paper we analyze what changes LLMs make in a text rewriting setting. We foc

2025

LLMs meet Bloom’s Taxonomy: A Cognitive View on Large Language Model Evaluations

COLING 2025main

Current evaluation approaches for Large Language Models (LLMs) lack a structured approach that reflects the underlying cognitive abilities required for solving the tasks. This hinders a thorough understanding of the current level of LLM capabilities. For instance, it is widely accepted that LLMs per…

Cited by 0SourcePDFScholar
2024

Let’s discuss! Quality Dimensions and Annotated Datasets for Computational Argument Quality Assessment

EMNLP 2024main

Research in the computational assessment of Argumentation Quality has gained popularity over the last ten years. Various quality dimensions have been explored through the creation of domain-specific datasets and assessment methods. We survey the related literature (211 publications and 32 datasets),…

Cited by 1SourcePDFScholar