Towards reliable, generalizable, and specific in-context knowledge editing via multi-objective reinforcement learning
Read the original at arxiv.org→arXiv:2608.25100v1 Announce Type: new Abstract: Large Language Models (LLMs) are powerful but limited by static parametric knowledge that becomes outdated once pretraining ends. Knowledge editing addresses this...
Original headline: "Towards Reliable, Generalizable, and Specific In-Context Knowledge Editing via Multi-Objective Reinforcement Learning"
Coverage timeline
- Aug 27, 04:00 UTC arXiv cs.AI lead source Towards Reliable, Generalizable, and Specific In-Context Knowledge Editing via Multi-Objective Reinforcement Learning