Solving Math Word Problem via Cooperative Reasoning induced Language Models
Develops a cooperative reasoning-induced PLM for solving math word problems, resulting in a human-like reasoning architecture with a generator and a verifier.
Can improve the accuracy and efficiency of solving math word problems in businesses that require mathematical reasoning, such as finance or engineering.
When Life Gives You Lemons, Make Cherryade: Converting Feedback from Bad Responses into Good Label
Proposes JUICER, a framework to make use of both binary and free-form textual human feedback.
Can help businesses improve their chatbot performance and customer satisfaction by utilizing human feedback more effectively.
UPainting: Unified Text-to-Image Diffusion Generation with Cross-modal Guidance
Proposes a simple yet effective approach, namely UPainting, to unify simple and complex scene image generation.
Can be useful for businesses that require generating images based on textual inputs, such as advertising or e-commerce.