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Found 5 papers, 2 papers with code
The Specificity and Helpfulness of Peer-to-Peer Feedback in Higher Education
This peer-to-peer feedback has become increasingly important whether in MOOCs to provide feedback to thousands of students or in large-scale classes at universities.
A Corpus for Suggestion Mining of German Peer Feedback
In this paper, we present a new annotation scheme to label sentences for Suggestion Mining.
Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing Assistance
Our results demonstrate that there is no significant difference in gender bias between the resulting peer reviews of groups with and without LLM suggestions.
Insert-expansions for Tool-enabled Conversational Agents
This paper delves into an advanced implementation of Chain-of-Thought-Prompting in Large Language Models, focusing on the use of tools (or "plug-ins") within the explicit reasoning paths generated by this prompting method.
Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling
We conduct a Word Embedding Association Test (WEAT) analysis on (1) our collected corpus in connection with the clustered labels, (2) the most common pre-trained German language models (T5, BERT, and GPT-2) and GloVe embeddings, and (3) the language models after fine-tuning on our collected data-set.
