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#artificial intelligence Preprint Sep 2026

Occamy-1.0: Open Pareto-frontier 35B Intelligence for Co-work

Occamy-1.0, a cost-efficient co-work model obtained by further training the post-trained Qwen3.6-35B-A3B checkpoint, is presented and placed at the low-cost knee of the observed cost--performance Pareto frontier.

Wen-Hui Chen, Shi-Wen Cheng, Hao Dong et al. · 3 citations
Preprint Aug 2026

ELBench: A Multi-Dimensional Benchmark for Education-Facing Large Language Models

ELBench is introduced, the first benchmark to evaluate all four requirements (General Capability, Safety and Trustworthiness, Basic Education, and High-Level Cultivation) on the same models under a common protocol, combining curated public sources with newly synthesized safety and cultivation data.

Yi-Lin Jiang, Xiao-Rong Zhu, Fei Tan et al. · 0 citations

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