Language models must be converted to understand and follow user instructions. Entraining the strengthening is used in detail to do this – often a fixed methods such as “useful” and “worms”. In our work, we suggested using flexible, the process relevant to the instructions as a means of expanding the impact of learning access to the following instructions. We suggest that “reading reinforcement from the checklist” (RLCF). From the order, we remove the checklist and explore how well the answers are – using the AIive judges and other systems used in the 5-Point Faceries, including 3 points. With Win Rate on Arena-Hard. These results establish a key checklist as a key tool to improve the support of the language multilingual models that produce a number of needs.
- 40 Carnegie Mellon University
- ‡ Meta
- ** Work done while in Apple
