1 citations · 1 across the 10 of their papers we have counts for
Showing 2025Show all
3 papers · 1 filter
cs.CL2025
CSV-Decode: Certifiable Sub-Vocabulary Decoding for Efficient Large Language Model Inference
Dong Liu, Shu Wang, Yanxuan Yu +2
Large language models face significant computational bottlenecks during inference due to the expensive output layer computation over large vocabularies. We present CSV-Decode, a no…
cs.CL2025
TS-PEFT: Unveiling Token-Level Redundancy in Parameter-Efficient Fine-Tuning
Dabiao Ma, Ziming Dai, Zhimin Xin +3
Current Parameter-Efficient Fine-Tuning (PEFT) methods typically operate under an implicit assumption: Once a target module is selected, every token passing through it contributes…
cs.CL2025★ 1 cited
Latent Thought Models with Variational Bayes Inference-Time Computation
Deqian Kong, Minglu Zhao, Dehong Xu +8
We propose a novel class of language models, Latent Thought Models (LTMs), which incorporate explicit latent thought vectors that follow an explicit prior model in latent space. Th…