5 citations · 5 across the 2 of their papers we have counts for
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cs.AI2026
CompressKV: Semantic-Retrieval-Guided KV-Cache Compression for Resource-Efficient Long-Context LLM Inference
Xiaolin Lin, Jingcun Wang, Olga Kondrateva +3
Long-context large language model (LLM) inference is increasingly constrained by the memory footprint and decoding cost of key-value (KV) caches, limiting sustainable deployment on…
cs.AI2026★ 5 cited
AI Psychometrics: Evaluating the Psychological Reasoning of Large Language Models with Psychometric Validities
Yibai Li, Xiaolin Lin, Zhenghui Sha +2
The immense number of parameters and deep neural networks make large language models (LLMs) rival the complexity of human brains, which also makes them opaque ``black box'' systems…