2 papers
cs.HC2026
olBlend: Language-Guided Molecular Blend Retrieval with Mixture Odor Prediction
Dian Jin, Zhechang Chen, Qilin Liang +5
Converting open-ended natural-language odor descriptions into molecular mixtures that can be physically prepared from an available inventory remains an important challenge in compu…
cs.CL2026
PrunePath: Towards Highly Structured Sparse Language Models
Zhexuan Gu, Zixun Fu, Yancheng Yuan
Feed-forward networks (FFNs) dominate the parameter count and computation of modern language models, yet existing pruning methods often struggle to convert sparsity into hardware-f…