RESEARCHMonitorWATCHLIST
SKIM: Pruning Large Language Model Agents via Selective Knowledge Informed Masking
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Researchers introduced SKIM, a model pruning method optimized for constrained output distributions in structured LLM agent generation.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 6 November 2026
- Collected by OneBench
- 7 Nov 2026, 02:01 UK
Stored source excerpt
arXiv:2611.07558v1 Announce Type: new Abstract: Large Language Model (LLM) agents are increasingly deployed under structured generation, where grammar constraints enforce output format at inference time.…
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