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20022026
most citedPerspectives on Large Language Models for Relevance Judgment

170 citations · 516 across the 41 of their papers we have counts for

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6 papers · 1 filter

cs.CL2024★ 1 cited

Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness

Maximilian Spliethöver, Sai Nikhil Menon, Henning Wachsmuth

Dialects introduce syntactic and lexical variations in language that occur in regional or social groups. Most NLP methods are not sensitive to such variations. This may lead to unf…

cs.CL2024

LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedback

Timon Ziegenbein, Gabriella Skitalinskaya, Alireza Bayat Makou +1

Ensuring that online discussions are civil and productive is a major challenge for social media platforms. Such platforms usually rely both on users and on automated detection tool…

cs.CL2024★ 12 cited

Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation

Maja Stahl, Leon Biermann, Andreas Nehring +1

Individual feedback can help students improve their essay writing skills. However, the manual effort required to provide such feedback limits individualization in practice. Automat…

cs.CL2024

A School Student Essay Corpus for Analyzing Interactions of Argumentative Structure and Quality

Maja Stahl, Nadine Michel, Sebastian Kilsbach +3

Learning argumentative writing is challenging. Besides writing fundamentals such as syntax and grammar, learners must select and arrange argument components meaningfully to create…

cs.CL2024

Argument Quality Assessment in the Age of Instruction-Following Large Language Models

Henning Wachsmuth, Gabriella Lapesa, Elena Cabrio +5

The computational treatment of arguments on controversial issues has been subject to extensive NLP research, due to its envisioned impact on opinion formation, decision making, wri…

cs.CL2024★ 2 cited

Modeling the Quality of Dialogical Explanations

Milad Alshomary, Felix Lange, Meisam Booshehri +3

Explanations are pervasive in our lives. Mostly, they occur in dialogical form where an {\em explainer} discusses a concept or phenomenon of interest with an {\em explainee}. Leavi…