Conceptio
›
Archive
›
arXiv (OAI Expanded)
arXiv (OAI Expanded)
open access
Target-Aware Calibration Data Selection for Preserving Uncertainty in Quantized Language Models
Yang, Zhen et al.
arXiv (OAI Expanded) · Papers · License: Open Access
Open Source ↗
Direct PDF ↓
computation-and-language
computation and language, artificial intelligence
This document is indexed with metadata only — full text is not available in the archive for this record.
Open the official source ↗
Related documents
Refuse without Refusal: A Structural Analysis of Safety-Tuning Responses for Reducing False Refusals in Language Models
#965979
How Do Language Models Represent and Use Phonological Information for Allomorph Selection?
#965973
Simulation-free Unbalanced Dynamic Optimal Transport with General Growth Penalty
#965975
Building a research-software catalog with a coding agent: from hackathon prototype to public deployment
#965976
Record
· ID 661149
Retrieved via
Conceptio
— every document is proof-bundled with source, license, and retrieval metadata.