LLM

论文阅读记录Constitutional AI 标题：Constitutional AI: Harmlessness from AI Feedback 作者：Anthropic 年份：2022 链接：Cai Main Framework: Motivation: Scaling Supervision: leverage AI to help humans to more efficiently supervise AI AI supervision may be more efficient than collecting human feedback AI systems can already perform some tasks at or beyond human level Visualization: A Harmless but Non-Evasive (Still Helpful) Assistant Simplicity and Transparency The Constitutional AI Approach: human...

论文阅读记录MAVEN-ARG 标题：MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation 作者：Xiaozhi Wang(THU) 发表会议/期刊：ACL 年份：2024 链接：MAVEN Intro Background: event understanding is typically organized as three information extraction tasks: event detection (ED), event argument extraction (EAE), event relation extraction (ERE). MAVEN MAVEN-ERE MAVEN-ARG Motivation：A large-scale dataset covering all the event understanding tasks has long been...