Bridging Gap

"Bridging the gap" encompasses research efforts to overcome limitations in various data processing and analysis tasks. Current work focuses on improving large language model comprehension of long contexts through coreference resolution, enhancing dialogue systems with knowledge graphs to align user and system understanding, and developing more accurate evaluation metrics for image captioning and generative design models. These advancements aim to improve the reliability and effectiveness of AI systems across diverse applications, from information retrieval and human-computer interaction to engineering design and disaster response.