Artificial Intelligence

Iterative preference optimization methods have demonstrated effectiveness in general instruction tuning tasks but haven't shown as significant improvements in reasoning tasks. Recently, offline techniques such as Discriminative Preference Optimization (DPO) have gained popularity due to their simplicity and efficiency. More advanced models advocate the iterative application of offline procedures to create new preference relations, further…

Large Language Models (LLMs) have become crucial tools for various tasks, such as answering factual questions and generating content. However, their reliability is often questionable because they frequently provide confident but inaccurate responses. Currently, no standardized method exists for assessing the trustworthiness of their responses. To evaluate LLMs' performance and resilience to input changes, researchers…

Natural language processing (NLP) is a technology that helps computers interpret and generate human language. Advances in this area have greatly benefited fields like machine translation, chatbots, and automated text analysis. However, despite these advancements, there are still major challenges. For example, it is often difficult for these models to maintain context over extended conversations,…

Natural Language Processing (NLP) is a field which allows computers to understand and generate human language effectively. With the evolution of AI, a wide range of applications like machine translation, chatbots, and automated text analysis have been greatly impacted. However, despite various advancements, a common challenge these systems face is their inability to maintain the…