Ask Self, Ask Others: Relation Is All You Need

arXiv:2608.20172 · cs.LG · Submitted 2026-08-20 · Read on arXiv

cs.LG

Submitted: 2026-08-20

Updated: 2026-09-08

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 20× in this paper · explained in 1 episode
• Transformer — 10× in this paper · explained in 2 episodes
• Ablation — 8× in this paper · explained in 1 episode
• Benchmark — 8× in this paper · explained in 2 episodes
• Perplexity — 7× in this paper · explained in 3 episodes
• Calibration — 5× in this paper · explained in 7 episodes
• Decode — 5× in this paper · explained in 2 episodes
• Multi-Head Relation — 5× in this paper
• Core — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Frozen model — 1× in this paper · explained in 3 episodes
• Kimi Delta Attention — 1× in this paper
• Transfer Learning — 1× in this paper · explained in 10 episodes

Sources

• Neural Machine Translation by Jointly Learning to Align and Translate
• Kimi Linear: An Expressive, Efficient Attention Architecture
• Fast Transformer Decoding: One Write-Head is All You Need
• Talking-Heads Attention
• Retentive Network: A Successor to Transformer for Large Language Models

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