3 papers
cs.CL2026
Located but Not Releasable: Silent Gate Inversion and Bounded Linear Release
Xining Xun
A growing body of work reports that language models represent task-relevant latent structure that they fail to use. Whether such structure, once located, can be converted into beha…
cs.CL2026
Causal Structure is Inducible but Functionally Decoupled: The Routing/Readout Boundary of a Typed Mechanism Library
Xining Xun
When a language model answers an interventional question, the computation it must perform depends on the type of evidence the query requires. We report a decoupling in how a transf…
cs.CL2026
Evidence-Type Competition: When Can Interventional Data Teach Language Models Causal Direction?
Xining Xun
Interventional data is widely regarded as the gold standard for teaching models causal reasoning. We test this assumption in a fully controlled synthetic environment pitting observ…