RLHF

Researchers have developed Diff-Instruct with Diffused Reward (DIDR), a data-free trajectory-level alignment framework that propagates reward-tilted clean-image distributions across all noise levels t…

In Reinforcement Learning with Human Feedback (RLHF), human preference collection involves generating multiple responses for a given prompt and asking people to select the preferred one, which is fast…

Tool-using research agent built for the Gemma 4 DEV Challenge, which runs locally on the Gemma 4 e2b model via Ollama using roughly 200 lines of Node.js code. The agent accepts a question, selects bet…