GSM: Efficient Language Modeling with Shared Global State

arXiv:2609.33465 · cs.CL · Submitted 2026-09-27 · Read on arXiv

cs.CL

Submitted: 2026-09-27

Updated: 2026-09-27

Terminology

• Aggregation — 25× in this paper · explained in 1 episode
• Perplexity — 11× in this paper · explained in 3 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Adaptation — 7× in this paper · explained in 1 episode
• Ablation — 6× in this paper · explained in 1 episode
• Transformer — 5× in this paper · explained in 2 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Decode — 4× in this paper · explained in 2 episodes
• KV cache — 3× in this paper · explained in 3 episodes
• Verification — 3× in this paper · explained in 2 episodes
• Downstream Tasks — 2× in this paper · explained in 2 episodes
• Global State Model — 2× in this paper
• Sparse Attention — 2× in this paper · explained in 5 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Chain-of-Thought (CoT) — 1× in this paper · explained in 4 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Hybrid Architectures — 1× in this paper · explained in 3 episodes
• Mixture-of-Experts (MoE) — 1× in this paper · explained in 7 episodes

Sources

• Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
• DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
• DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression
• RULER: What's the Real Context Size of Your Long-Context Language Models?
• Kimi K3: Open Frontier Intelligence
• mHC: Manifold-Constrained Hyper-Connections

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