activity
20142025
most citedScaling up Heuristic Planning with Relational Decision Trees

30 citations · 30 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2025

GenPlanX. Generation of Plans and Execution

Daniel Borrajo, Giuseppe Canonaco, Tomás de la Rosa +10

Classical AI Planning techniques generate sequences of actions for complex tasks. However, they lack the ability to understand planning tasks when provided using natural language.…

cs.CL2025

On the Temporal Question-Answering Capabilities of Large Language Models Over Anonymized Data

Alfredo Garrachón Ruiz, Tomás de la Rosa, Daniel Borrajo

The applicability of Large Language Models (LLMs) in temporal reasoning tasks over data that is not present during training is still a field that remains to be explored. In this pa…

cs.CL2024

TRIM: Token Reduction and Inference Modeling for Cost-Effective Language Generation

Alfredo Garrachón Ruiz, Tomás de la Rosa, Daniel Borrajo

The high inference cost of Large Language Models (LLMs) poses challenges, especially for tasks requiring lengthy outputs. However, natural language often contains redundancy, which…

q-fin.PM2023

Planning for the Efficient Updating of Mutual Fund Portfolios

Tomás de la Rosa

Once there is a decision of rebalancing or updating a portfolio of funds, the process of changing the current portfolio to the target one, involves a set of transactions that are s…

cs.AI2014★ 30 cited

Scaling up Heuristic Planning with Relational Decision Trees

Tomas De la Rosa, Sergio Jimenez, Raquel Fuentetaja +1

Current evaluation functions for heuristic planning are expensive to compute. In numerous planning problems these functions provide good guidance to the solution, so they are worth…