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This paper uses causal interventions to investigate syntactic mechanisms in multilingual language models, revealing cross-lingual transfer that is graded based on typological similarity.
This paper proposes a second parameter, phase, in language interpretation, arguing that current transformer models lack explicit representation for phase, which is crucial for phenomena like allusion and irony, and suggests new architectures with agent-indexed semantic states.