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20242026
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cs.CL2026

GlossoGen: Emergent Language in Complex Multi-Agent LLM Interactions

Elias Stengel-Eskin, Newton Sander, Carlos Bonetti +4

The growing rate at which LLM agents interact with one another raises key questions about language evolution in multi-LLM-agent settings, with implications for safety and monitorab…

cs.CL2026

Causal Interventions Reveal Typologically Organized Syntactic Mechanisms in Multilingual Language Models

Sasha Boguraev, Toshiki Nakai, Kyle Mahowald +1

Linguistic theory has long recognized cross-linguistic syntactic regularities, leading to claims that these similar structures are processed by similar mechanisms. However, this hy…

cs.CL2026

Causal Drawbridges: Characterizing Gradient Blocking of Syntactic Islands in Transformer LMs

Sasha Boguraev, Kyle Mahowald

We show how causal interventions in Transformer models provide insights into English syntax by focusing on a long-standing challenge for syntactic theory: syntactic islands. Extrac…

cs.CL2026

France or Spain or Germany or France: A Neural Account of Non-Redundant Redundant Disjunctions

Sasha Boguraev, Qing Yao, Kyle Mahowald

Sentences like "She will go to France or Spain, or perhaps to Germany or France." appear formally redundant, yet become acceptable in contexts such as "Mary will go to a philosophy…

cs.CL2025

Causal Interventions Reveal Shared Structure Across English Filler-Gap Constructions

Sasha Boguraev, Christopher Potts, Kyle Mahowald

Language Models (LMs) have emerged as powerful sources of evidence for linguists seeking to develop theories of syntax. In this paper, we argue that causal interpretability methods…