牛哥精选 · 三个月

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📝 深度技术 arXiv AI 2026-06-10

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs

聚焦能量对齐方法，为GNN与LLM在文本图上的协同建模拓展新思路。

arXiv:2606.10461v1 Announce Type: cross Abstract: Text-attributed Graphs (TAGs) incorporate textual node attributes with graph structures to describe …

gnn llm 文本属性图表示对齐基于能量模型

🤖 AI·大模型 arXiv 机器学习 2026-05-20

Distributional Energy-Based Models for Uncertainty-Aware Structured LLM Reasoning

提出分布能量模型，让LLM在结构化推理中感知不确定性，提升可靠性与可解释性。

arXiv:2605.18871v1 Announce Type: new Abstract: When Large Language Models produce structured outputs such as travel plans, code solutions, or multi-s…

分布能量模型不确定性感知结构化推理大语言模型能量模型

📝 深度技术 arXiv 机器学习 2026-05-19

Learning Normalized Energy Models for Linear Inverse Problems

新能量模型破解生成扩散模型两大难题，实现线性逆问题无偏采样。

arXiv:2605.15487v1 Announce Type: new Abstract: Generative diffusion models can provide powerful prior probability models for inverse problems in imag…

能量模型逆问题生成模型扩散模型无偏采样

📅 日期

2026-05-20 2026-05-19

🐂 牛哥精选

ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs

Distributional Energy-Based Models for Uncertainty-Aware Structured LLM Reasoning

Learning Normalized Energy Models for Linear Inverse Problems

📅 日期