NextLat accepted at NeurIPS: predicting own latent states for reasoning, 3.3x faster inference
CSProfKGD · x · 2026-09-26
NextLat (Next-Latent Prediction) has been accepted at NeurIPS.
- Addressing the myopia of next-token prediction, it trains transformers to predict their own next latent state via self-supervised learning, forming compact world models for reasoning and planning.
- It also enables up to 3.3x faster inference through self-speculative decoding.
More from Research
- Scandinavian Journal of Statistics editors reflect on publishing in the age of generative AI — michaelchchoi · 2026-11-11
- Claude Opus 5.5 runs an architecture search and finds AttnRes-Canon, a new top Transformer design — SonglinYang4 · 2026-11-11
- 5 research habits worth knowing: read papers backwards, reproduce first, wire coding agents via MCP — cneuralnetwork · 2026-11-11
- Running Qwen2.5-Coder-3B on Android: Jupyter + Pydantic Evals on-device eval pipeline — alex_b3b · 2026-11-11
- cloneofsimo releases a video explaining determinantal point processes — cloneofsimo · 2026-11-11
- Mapping Qwen3-8B's internal touch body map into an anatomical plate — repligate · 2026-11-11