Generative engine optimization (GEO) represents a shift from optimizing for keyword-based ranking systems to optimizing for how generative search engines interpret and assemble information. While the ...
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Abstract: A preventive maintenance (PM) optimization policy based on a bi-level imperfect maintenance strategy was proposed for electric multiple unit equipment subject to continuous degradation, ...
Abstract: The development of drone techniques has extensive applications to fields like last-mile parcel delivery. For economic and efficiency advantages, collaborative truck-drone systems have ...
Generative engine optimization (GEO) is the practice of positioning your brand and content so that AI platforms like Google AI Overviews, ChatGPT, and Perplexity cite, recommend, or mention you when ...
Don’t start with moon shots. by Thomas H. Davenport and Rajeev Ronanki In 2013, the MD Anderson Cancer Center launched a “moon shot” project: diagnose and recommend treatment plans for certain forms ...
In this tutorial, we implement an end-to-end Direct Preference Optimization workflow to align a large language model with human preferences without using a reward model. We combine TRL’s DPOTrainer ...
In on-policy RL training (RLHF/GRPO/DAPO), the rollout phase dominates runtime, typically accounting for over 90% of total training time. Due to the highly variable response lengths across samples, ...
Official implementation of Diffusion-DFL: Decision-focused Diffusion Models for Stochastic Optimization (ICLR 2026). This repository provides three self-contained experiments that compare ...