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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…