Author

Xiang Chen

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#artificial intelligence Preprint Feb 2026

Beyond Dense States: Sparse Transcoders as Causally Testable Operators for LLM Latent Reasoning

LSTR (Latent Sparse Transcoder Reasoning), a framework that turns sparse transcoders from post-hoc diagnostic tools into in-loop, intervenable transition components for latent reasoning, and suggests that sparse latent transitions can preserve the compression benefits of latent reasoning while making the resulting trajectories more inspectable and intervenable.

Yadong Wang, Hao-Dong Chen, Yu Tian et al. · 0 citations

Preprint Aug 2026

Knowing but Not Saying: Preventing Factual Access Failures in LLM SFT via Recall-Anchored Distillation

Recall-Anchored Distillation (RAD), a base-anchored self-distillation objective that preserves out-of-distribution generation behavior by aligning the adapted model with the original base model's soft continuation distribution on unlabeled OOD text, is introduced.

Hao-Dong Chen, Yadong Wang, Shengtao Wen et al. · 0 citations