1 citations · 2 across the 8 of their papers we have counts for
9 papers
Breaking Homogeneity: Diversifying Persona Sets for Creative LLM Outputs
Sang Bin Moon, Nicole Cho, Daniel Borrajo +2
Language models often produce homogeneous responses to open-ended tasks; such homogeneity can spawn groupthink-the convergence of ideas toward a singular and potentially suboptimal…
Git-Assistant: Planning-Based Support for Updating Git Repositories
Alfredo Garrachón Ruiz, Tomás de la Rosa, Daniel Borrajo
Version control systems are essential for collaborative software development, yet tools like git remain challenging for many practitioners. Recent advances in Large Language Models…
Bridging LLM Planning Agents and Formal Methods: A Case Study in Plan Verification
Keshav Ramani, Vali Tawosi, Salwa Alamir +1
We introduce a novel framework for evaluating the alignment between natural language plans and their expected behavior by converting them into Kripke structures and Linear Temporal…
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…
Hypercone Assisted Contour Generation for Out-of-Distribution Detection
Annita Vapsi, Andrés Muñoz, Nancy Thomas +2
Recent advances in the field of out-of-distribution (OOD) detection have placed great emphasis on learning better representations suited to this task. While there are distance-base…
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…
Predicting Customer Goals in Financial Institution Services: A Data-Driven LSTM Approach
Andrew Estornell, Stylianos Loukas Vasileiou, William Yeoh +2
In today's competitive financial landscape, understanding and anticipating customer goals is crucial for institutions to deliver a personalized and optimized user experience. This…
Computer User Interface Understanding. A New Dataset and a Learning Framework
Andrés Muñoz, Daniel Borrajo
User Interface (UI) understanding has been an increasingly popular topic over the last few years. So far, there has been a vast focus solely on web and mobile applications. In this…
Classification of Tabular Data by Text Processing
Keshav Ramani, Daniel Borrajo
Natural Language Processing technology has advanced vastly in the past decade. Text processing has been successfully applied to a wide variety of domains. In this paper, we propose…