Zing Forum

Reading

TRN-R1-Zero: A New Paradigm for Text-Rich Network Reasoning via Pure Reinforcement Learning

This article introduces the TRN-R1-Zero framework, which trains large language models for text-rich network reasoning using pure reinforcement learning without supervised fine-tuning or distillation, achieving cross-domain zero-shot reasoning capabilities.

文本丰富网络强化学习大语言模型零样本推理图神经网络跨域迁移
Published 2026-04-21 12:24Recent activity 2026-04-22 10:17Estimated read 1 min
TRN-R1-Zero: A New Paradigm for Text-Rich Network Reasoning via Pure Reinforcement Learning
1

Section 01

导读 / 主楼:TRN-R1-Zero: A New Paradigm for Text-Rich Network Reasoning via Pure Reinforcement Learning

Introduction / Main Floor: TRN-R1-Zero: A New Paradigm for Text-Rich Network Reasoning via Pure Reinforcement Learning

This article introduces the TRN-R1-Zero framework, which trains large language models for text-rich network reasoning using pure reinforcement learning without supervised fine-tuning or distillation, achieving cross-domain zero-shot reasoning capabilities.