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cs.CL2026
TopoCompress: Long Context Compression via Graph-Wired Semantic Trajectories
Daniel Agyei Asante, Yang Li
Long-context compression is essential for reducing the cost and latency of large language model inference. However, existing methods can fragment important evidence, require additi…
cs.LG2026
The Safety Relay in Roleplay Jailbreaks: A Component-Resolved Causal Analysis of Harm Recognition and Refusal
Md Mokarram Chowdhury, Ernie Chang, Yang Li
Large language models are trained to follow instructions while refusing harmful requests. Jailbreaks exploit this balance to elicit content a model would ordinarily reject. Rolepla…
cs.LG2026
Importance-Guided Basis Selection for Low-Rank Decomposition of Large Language Models
Daniel Agyei Asante, Ernie Chang, Yang Li
Low-rank decomposition is a compelling approach for compressing large language models, but its effectiveness hinges on selecting which singular-vector bases to retain for a target…