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cs.CL2026
LoopMTP: A looped transformer guided by latent multi-token prediction
Behzad Shomali, Markus Frey, David Berghaus +2
Looped transformers have emerged as a parameter-efficient alternative to scaling depth for strong reasoning. By reusing one stack of layers across iterations, they attain the e…
cs.CL2026
Adaptive Loops and Memory in Transformers: Think Harder or Know More?
Markus Frey, Behzad Shomali, Ali Hamza Bashir +3
Chain-of-thought (CoT) prompting enables reasoning in language models but requires explicit verbalization of intermediate steps. Looped transformers offer an alternative by iterati…
cs.CL2026
Is continuous CoT better suited for multi-lingual reasoning?
Ali Hamza Bashir, Behzad Shomali, Markus Frey +3
We investigate whether performing reasoning in a continuous latent space leads to more robust multilingual capabilities. We compare Continuous Chain-of-Thought (using the CODI fram…