all AI news
Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation
April 25, 2024, 5:44 p.m. | Maja Stahl, Leon Biermann, Andreas Nehring, Henning Wachsmuth
cs.CL updates on arXiv.org arxiv.org
Abstract: Individual feedback can help students improve their essay writing skills. However, the manual effort required to provide such feedback limits individualization in practice. Automatically-generated essay feedback may serve as an alternative to guide students at their own pace, convenience, and desired frequency. Large language models (LLMs) have demonstrated strong performance in generating coherent and contextually relevant text. Yet, their ability to provide helpful essay feedback is unclear. This work explores several prompting strategies for LLM-based …
abstract alternative arxiv cs.cl essay feedback generated guide however language large language llm practice prompting scoring serve skills strategies students type writing
More from arxiv.org / cs.CL updates on arXiv.org
Jobs in AI, ML, Big Data
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US
Research Engineer
@ Allora Labs | Remote
Ecosystem Manager
@ Allora Labs | Remote
Founding AI Engineer, Agents
@ Occam AI | New York