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DraftFM is a foundation model for predicting draft picks in Magic: The Gathering, enabling accurate day-zero drafting for new sets by leveraging card features and behavioral data. It demonstrated strong performance on held-out expansions and successfully forecasted an unreleased set.
This paper introduces Decoupled Contrastive Decoding (DCD), which uses an expert-aligned lightweight proposer for speculative decoding while keeping the contrastive signal only in verification, achieving speedups over vanilla contrastive decoding without degrading output distribution.
DeLS-Spec decouples long- and short-context modeling in speculative decoding by adding a lightweight local head to DFlash, achieving consistent speedups without full retraining. It requires only standard next-token prediction training for the local head and improves acceptance length on Qwen3 benchmarks.
Grok by SpaceXAI is a Microsoft Word add-in that helps users draft, restructure, and tighten wording directly within the Word panel.
This paper proposes Speculative Pipeline Decoding (SPD), a framework that uses pipeline parallelism within a single LLM to enable parallel token speculation, avoiding the latency bubbles and accuracy degradation of multi-token prediction in traditional speculative decoding.