What is recorded here?
Jointly trained a prompt-conditioned sparsity predictor and language model to choose structured feed-forward parameter masks, keeping selected parameters fixed for an input or task to reduce repeated weight loading.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Structured pruning, conditional computation and differentiable top-k have predecessors. Fixed masks trade adaptation granularity for loading efficiency. Original2025 method is distinct from its later flash-resident AFM3 product-system integration; benchmarks do not guarantee equal quality for every task.
Read the original work
- Instruction-Following Pruning for Large Language Models
- Hou et al.: instruction-conditioned structured parameter pruning — official institutional account
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People and systems
Bairu Hou; Qibin Chen; Jianyu Wang; Guoli Yin; Chong Wang; Nan Du; Ruoming Pang; Shiyu Chang; Tao Lei
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
Hou et al.: instruction-conditioned structured parameter pruning
Jointly trained a prompt-conditioned sparsity predictor and language model to choose structured feed-forward parameter masks, keeping selected parameters fixed for an input or task to reduce repeated weight loading.
Scientific scope
Structured pruning, conditional computation and differentiable top-k have predecessors. Fixed masks trade adaptation granularity for loading efficiency. Original2025 method is distinct from its later flash-resident AFM3 product-system integration; benchmarks do not guarantee equal quality for every task.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Bairu Hou; Qibin Chen; Jianyu Wang; Guoli Yin; Chong Wang; Nan Du; Ruoming Pang; Shiyu Chang; Tao Lei
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.