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cs.AI2026
Monitoring latent reasoning in looped language models
Pawel Olszowiec, Paulina Tomaszewska, Maciej Żelaszczyk +2
Looped language models (LMs) reuse one block of layers several times per token generation, promising more latent computation at no additional storage cost. Despite their rising pop…
cs.AI2026
Semantic Adapter Routing with Fine-Tuning Task Embeddings
Enrico Cassano, Michał Brzozowski, Paolo Mandica +2
Parameter-efficient fine-tuning (PEFT) has led to model ecosystems in which a single backbone is paired with many task-specialized adapters. Given such a library, routing aims to s…