SPS Transformer Separates State and Prediction
yoavartzi · x · 2026-07-14
A new paper proposes an interesting hypothesis about Transformers: a single hidden state simultaneously handles two competing roles: "saving state" and "predicting the next token."
The core finding suggests that splitting these responsibilities into two independent streams yields better performance than standard Transformers. The paper introduces the State-Prediction Separation (SPS) Transformer, which achieves significant pre-training gains through a very simple architectural modification.
Related event: SPS Transformer: Separating State and Prediction into Dual Streams(5 posts)→
More from Research
- Project APE finds verifier reliability drops when papers contain multiple errors — soumitrashukla9 · 2026-07-22
- Project APE says verifier costs fell about 90x in a year as Chinese open models lead — soumitrashukla9 · 2026-07-22
- Project APE builds its verifier benchmark from 100 AI-written papers with injected errors — soumitrashukla9 · 2026-07-22
- Paper proposes a CRED taxonomy and benchmark to measure research-error detectors — soumitrashukla9 · 2026-07-22
- OpenAI says long-horizon models need safety and alignment checks across full action sequences — rhiever · 2026-07-22
- A Reddit user proposes a consistency LoRA to keep anime and game scenes visually stable — ThirdWorldBoy21 · 2026-07-22