SOURCE-LINKED INTELLIGENCE
The Communication Bottleneck: A Round-Trip Study of Tree-Structured Expression Serialization in Language Models
When language models reason in chain-of-thought or exchange free-text intermediates, they serialize structured information into natural language. How much tree-structured compositional content survives this bottleneck? We propose a round-trip protocol that answers this question empirically for tree-structured expressions. A generator converts a procedurally generated arithmetic expression into a word problem, a separate extractor recovers the expression from the word problem alone, and symbolic equivalence provides an exact oracle. Evaluating all pairwise combinations of sixteen models yields
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-18T09:02:03.000Z
First collected: 2026-09-23T14:01:59.594Z. This is not the publication date.