语义回响:通过回收被丢弃Token嵌入增强语言模型表达能力
-
Updated
Aug 7, 2026 - Python
语义回响:通过回收被丢弃Token嵌入增强语言模型表达能力
Semantic Echo - A 1.5B LLM beats big-lab baselines on 4/5 Turing tests (emotion/human-likeness). Raw experiment data: 19-config multi-model, thought-chain fallback, full-pipeline, papers, charts. 语义回响 · 1.5B 反超大厂实证数据仓库
1.5B小模型反超大厂!语义回响(Semantic Echo)推理架构实证|不修改权重、不重训练,仅靠回收被丢弃的Token嵌入增强情感表达|5项图灵测试4/5反超,人似度翻倍
Add a description, image, and links to the semantic-echo topic page so that developers can more easily learn about it.
To associate your repository with the semantic-echo topic, visit your repo's landing page and select "manage topics."