2 papers
cs.CL2026
Derivation Prompting: A Logic-Based Method for Improving Retrieval-Augmented Generation
Ignacio Sastre, Guillermo Moncecchi, Aiala Rosá
The application of Large Language Models to Question Answering has shown great promise, but important challenges such as hallucinations and erroneous reasoning arise when using the…
cs.CL2026
RETUYT-INCO at BEA 2026 Shared Task 2: Meta-prompting in Rubric-based Scoring for German
Ignacio Sastre, Ignacio Remersaro, Facundo DÃaz +4
In this paper, we present the RETUYT-INCO participation at the BEA 2026 shared task "Rubric-based Short Answer Scoring for German". Our team participated in track 1 (Unseen answers…