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cs.CL2026
Pretraining Latent Information Feedback Transformers with Teacher Supervision
Dor Tirosh, Ido Amos, Mor Geva
Transformer language models (LMs) are feed-forward: deep-layer representations are never fed back to shallower layers, and the only pathway for information to flow downward across…
cs.CL2026
Latent Reasoning with Supervised Thinking States
Ido Amos, Avi Caciularu, Mor Geva +4
Reasoning with a chain-of-thought (CoT) enables Large Language Models (LLMs) to solve complex tasks but incurs significant inference costs due to the generation of long rationales.…