2 papers
cs.LG2026
Tracing Morphology, Semantics, and Divergence in Language Acquisition
Forough Shirin Abkenar, Haoshuo Fu, Liang Feng +2
Understanding the dynamics of language acquisition in Large Language Models (LLMs) is crucial for uncovering how statistical representations evolve into structured linguistic capab…
cs.CL2026
SparPR: Runtime KV-Cache Recovery for Resource-Constrained LLM Inference on Consumer Hardware
Jieyun Deng, Keming Hu, Yanghe Liu +1
Running large language models (LLMs) on consumer hardware is bottlenecked by the key-value (KV) cache, which grows with every decoded token and quickly exhausts the memory and band…