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cs.AI2025
ProSEA: Problem Solving via Exploration Agents
William Nguyen, Vinh Luong, Christopher Nguyen
Large language models (LLMs) have empowered AI agents to tackle increasingly complex tasks. However, most existing agents remain limited to static planning and brittle interactions…
cs.AI2024
DANA: Domain-Aware Neurosymbolic Agents for Consistency and Accuracy
Vinh Luong, Sang Dinh, Shruti Raghavan +9
Large Language Models (LLMs) have shown remarkable capabilities, but their inherent probabilistic nature often leads to inconsistency and inaccuracy in complex problem-solving task…
cs.AI2024
Enhancing Q&A with Domain-Specific Fine-Tuning and Iterative Reasoning: A Comparative Study
Zooey Nguyen, Anthony Annunziata, Vinh Luong +7
This paper investigates the impact of domain-specific model fine-tuning and of reasoning mechanisms on the performance of question-answering (Q&A) systems powered by large language…