Imagen de Portada

TRN-R1-Zero: Text-rich Network Reasoning via LLMs with Reinforcement Learning Only

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Liu, Yilun, Qiu, Ruihong, Huang, Zi
Formato:	Preprint
Publicado:	2026
Materias:	Computation and Language Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Text Meets Topology: Rethinking Out-of-distribution Detection in Text-Rich Networks
por: Wang, Danny, et al.
Publicado: (2025)

When to Commit? Towards Variable-Size Self-Contained Blocks for Discrete Diffusion Language Models
por: Wang, Danny, et al.
Publicado: (2026)

GCondenser: Benchmarking Graph Condensation
por: Liu, Yilun, et al.
Publicado: (2024)

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
por: DeepSeek-AI, et al.
Publicado: (2025)

Break the Block: Dynamic-size Reasoning Blocks for Diffusion Large Language Models via Monotonic Entropy Descent with Reinforcement Learning
por: Jiang, Yan, et al.
Publicado: (2026)

Block-R1: Rethinking the Role of Block Size in Multi-domain Reinforcement Learning for Diffusion Large Language Models
por: Jiang, Yan, et al.
Publicado: (2026)

Fleming-R1: Toward Expert-Level Medical Reasoning via Reinforcement Learning
por: Liu, Chi, et al.
Publicado: (2025)

MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning
por: Feng, Zhaopeng, et al.
Publicado: (2025)

You Only Need Minimal RLVR Training: Extrapolating LLMs via Rank-1 Trajectories
por: Wei, Zhepei, et al.
Publicado: (2026)

S$^2$R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning
por: Ma, Ruotian, et al.
Publicado: (2025)

Odin: Oriented Dual-module Integration for Text-rich Network Representation Learning
por: Hong, Kaifeng, et al.
Publicado: (2025)

Unlocking Reasoning Capabilities in LLMs via Reinforcement Learning Exploration
por: Deng, Wenhao, et al.
Publicado: (2025)

PUMA: Efficient Continual Graph Learning for Node Classification with Graph Condensation
por: Liu, Yilun, et al.
Publicado: (2023)

R-Zero: Self-Evolving Reasoning LLM from Zero Data
por: Huang, Chengsong, et al.
Publicado: (2025)

Absolute Zero: Reinforced Self-play Reasoning with Zero Data
por: Zhao, Andrew, et al.
Publicado: (2025)

Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't
por: Dang, Quy-Anh, et al.
Publicado: (2025)

LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning
por: Wu, Yuhao, et al.
Publicado: (2025)

WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning
por: Wei, Zhepei, et al.
Publicado: (2025)

LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning
por: Kang, Haoqiang, et al.
Publicado: (2025)

Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement Learning
por: Zhang, Haozhen, et al.
Publicado: (2025)

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs
por: Huang, Yiming, et al.
Publicado: (2026)

CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities
por: Mao, Yujun, et al.
Publicado: (2024)

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
por: Hu, Jingcheng, et al.
Publicado: (2025)

SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning
por: Liu, Bo, et al.
Publicado: (2025)

PREDILECT: Preferences Delineated with Zero-Shot Language-based Reasoning in Reinforcement Learning
por: Holk, Simon, et al.
Publicado: (2024)

A Comprehensive Study of Decoder-Only LLMs for Text-to-Image Generation
por: Wang, Andrew Z., et al.
Publicado: (2025)

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs
por: Liu, Zijia, et al.
Publicado: (2025)

KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning
por: Xu, Hongling, et al.
Publicado: (2025)

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning
por: Zhao, Siyan, et al.
Publicado: (2025)

Enhancing Efficiency and Exploration in Reinforcement Learning for LLMs
por: Liao, Mengqi, et al.
Publicado: (2025)

xRouter: Training Cost-Aware LLMs Orchestration System via Reinforcement Learning
por: Qian, Cheng, et al.
Publicado: (2025)

Boosting Logical Fallacy Reasoning in LLMs via Logical Structure Tree
por: Lei, Yuanyuan, et al.
Publicado: (2024)

LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction
por: Nagar, Aishik, et al.
Publicado: (2024)

Causal Reasoning Favors Encoders: On The Limits of Decoder-Only Models
por: Roy, Amartya, et al.
Publicado: (2025)

LiveThinking: Enabling Real-Time Efficient Reasoning for AI-Powered Livestreaming via Reinforcement Learning
por: Sun, Yuhan, et al.
Publicado: (2025)

Learning to Reason in LLMs by Expectation Maximization
por: Lee, Junghyun, et al.
Publicado: (2025)

SUPERNOVA: Eliciting General Reasoning in LLMs with Reinforcement Learning on Natural Instructions
por: Suvarna, Ashima, et al.
Publicado: (2026)

MMR-GRPO: Accelerating GRPO-Style Training through Diversity-Aware Reward Reweighting
por: Wei, Kangda, et al.
Publicado: (2026)

CRAFT: Calibrated Reasoning with Answer-Faithful Traces via Reinforcement Learning for Multi-Hop Question Answering
por: Liu, Yu, et al.
Publicado: (2026)

Not All Tokens Matter: Towards Efficient LLM Reasoning via Token Significance in Reinforcement Learning
por: Liu, Hanbing, et al.
Publicado: (2025)