3 papers
cs.LG2026
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning
Zhiren Gong, Zihao Zeng, Zijie Wang +3
Structured pruning compresses large language models (LLMs) by removing whole computational units, such as attention heads and feed-forward (FFN) channel groups. Most training-free…
cs.LG2026
Conditional Co-Ablation: Recovering Self-Repair Backups in Transformer Circuits
Zhiren Gong, Zihao Zeng, Chau Yuen +1
Mechanistic interpretability often relies on component-level interventions to discover how a model produces a behavior. This guides attribution, capability knockout, and model prun…
cs.AI2026
XDomainBench: Diagnosing Reasoning Collapse in High-Dimensional Scientific Knowledge Composition
Gong Zhiren, Tiantong Wu, Jiaming Zhang +9
Large Language Models (LLMs) are increasingly deployed for knowledge synthesis, yet their capacity for compositional generalization in scientific knowledge remains under-characteri…