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arXiv:2407.06488v1 Announce Type: new Abstract: While large language models (LLMs) have demonstrated superior multi-task capabilities, understanding the learning mechanisms behind this is still a challenging problem. In this paper, we attempt to understand such mechanisms from the perspective of neurons. Specifically, we detect task-sensitive neurons in LLMs via gradient attribution on task-specific data. Through extensive deactivation and fine-tuning experiments, we demonstrate that the detected neurons are highly correlated with the given task, which we term as task-specific neurons. With these identified task-specific neurons, we delve into two common problems in multi-task learning and continuous learning: Generalization and Catastrophic Forgetting. We…

Efficient meeting management is the cornerstone of productivity and effective communication within any organization. Well-run meetings ensure that time is utilized effectively, decisions are made promptly, and all participants are engaged and aligned on objectives. However, the reality is that many meetings can quickly become unproductive, leading to wasted time and resources. This highlights the importance of implementing strategies and tools, such as AI meeting assistants, to streamline the meeting process. AI meeting assistants offer a range of benefits that facilitate efficient meeting management. These intelligent tools can automate tasks like scheduling, note-taking, action item tracking, and even providing real-time…

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