Multi-token prediction paper shows how Transformers can learn planning by reverse reasoning
CatAstro_Piyush · x · 2026-07-25
Accepted at COLM 2026
The paper “How Transformers Learn to Plan via Multi-Token Prediction” has been accepted to COLM 2026.
- The authors argue that Multi-Token Prediction (MTP) improves planning because it induces gradient decoupling.
- This, in turn, enables reverse reasoning: the model first looks at the goal and then traces the path back.
- The attached heatmaps contrast NTP and MTP, showing a different internal attention/weight pattern consistent with the proposed mechanism.
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