CharacterFlywheel is a step‑by‑step loop that steadily improves chatty AI characters by learning from real conversations on Instagram, WhatsApp, and Messenger.
The paper teaches AI agents to understand big codebases without running the code by following a strict, step-by-step thinking template called semi-formal reasoning.
This paper teaches image generators to place objects in the right spots by building a special teacher called a reward model focused on spatial relationships.
This paper shows how to make text-to-video models create clearer, steadier, and more on-topic videos without using any human-labeled ratings.
Large language models often learn one-size-fits-all preferences, but people are different, so we need personalization.
RoboBrain 2.5 teaches robots to see depth precisely and to keep track of time-aware progress, so plans turn into safe, accurate actions.
RubricHub is a huge (about 110,000) collection of detailed grading guides (rubrics) for many kinds of questions like health, science, writing, and chat.
Real instructions often have logic like and first-then and if-else and this paper teaches models to notice and obey that logic.
ShowTable is a new way for AI to turn a data table into a beautiful, accurate infographic using a think–make–check–fix loop.
EditThinker is a helper brain for any image editor that thinks, checks, and rewrites the instruction in multiple rounds until the picture looks right.