Beam Search

Beam search is a heuristic search algorithm used to find the most likely sequence of outputs in various sequential prediction tasks, primarily aiming to improve the efficiency and quality of predictions compared to simpler methods like greedy search. Current research focuses on enhancing beam search's performance and applicability across diverse domains, including natural language processing (e.g., machine translation, text generation, speech recognition), wireless communications (beam training), and warehouse optimization, often integrating it with large language models or other advanced architectures. These advancements are significant because they lead to more efficient and accurate predictions in numerous applications, impacting fields ranging from AI-driven automation to improved communication technologies.