The rise of large language models (LLMs) has significantly transformed both the construction and application of information retrieval (IR) systems. However, current interactions between IR systems and LLMs remain limited, with LLMs merely serving as part of components within IR systems, and IR systems being constructed independently of LLMs. This separated architecture restricts knowledge sharing and deep collaboration between them. In this paper, we introduce Self-Retrieval, a novel end-to-end LLM-driven information retrieval architecture.

Neural Information Processing Systems http://nips.cc/

Machine unlearning (MU) empowers individuals with the'right to be forgotten' by removing their private or sensitive information encoded in machine learning models. However, it remains uncertain whether MU can be effectively applied to Multimodal Large Language Models (MLLMs), particularly in scenarios of forgetting the leaked visual data of concepts.

An explosion at a fireworks shop in central China's Hubei province has killed at least 12 people, state media reported, marking the second deadly blast linked to fireworks as the country celebrates the Lunar New Year . The explosion tore through the shop in Xiangyang on Wednesday afternoon. Officials said five children and seven adults died in the explosion. The victims included the shop owner and customers who had been buying fireworks for holiday celebrations. Some had travelled from other areas to visit relatives during the festive period .

InOrMo, momentum isincorporated into ASGD byorganizing the gradients in order based on their iteration indexes. We theoretically prove the convergence of OrMo with both constant and delay-adaptive learning rates for non-convexproblems.