1 citations · 1 across the 8 of their papers we have counts for
9 papers
IVIE: A Neuro-symbolic Approach to Incremental and Validated Generation of Interactive Fiction Worlds
Micaela Vaucher, Santiago Silveira, Santiago Góngora +1
Computational creativity in Interactive Fiction faces a fundamental tension: Large Language Models (LLM) may produce creative narratives but struggle with world coherence, while sy…
World-State Transformations for Neuro-symbolic Interactive Storytelling
Santiago Góngora, Luis Chiruzzo, Gonzalo Méndez +1
Large Language Models (LLMs) have changed the possibilities of Interactive Storytelling systems that process free-text user input. However, as more of these systems are built, evid…
RETUYT-INCO at BEA 2026 Shared Task 2: Meta-prompting in Rubric-based Scoring for German
Ignacio Sastre, Ignacio Remersaro, Facundo Díaz +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…
RETUYT-INCO at BEA 2025 Shared Task: How Far Can Lightweight Models Go in AI-powered Tutor Evaluation?
Santiago Góngora, Ignacio Sastre, Santiago Robaina +3
In this paper, we present the RETUYT-INCO participation at the BEA 2025 shared task. Our participation was characterized by the decision of using relatively small models, with fewe…
A Platform for Generating Educational Activities to Teach English as a Second Language
Aiala Rosá, Santiago Góngora, Juan Pablo Filevich +4
We present a platform for the generation of educational activities oriented to teaching English as a foreign language. The different activities -- games and language practice exerc…
PAYADOR: A Minimalist Approach to Grounding Language Models on Structured Data for Interactive Storytelling and Role-playing Games
Santiago Góngora, Luis Chiruzzo, Gonzalo Méndez +1
Every time an Interactive Storytelling (IS) system gets a player input, it is facing the world-update problem. Classical approaches to this problem consist in mapping that input to…