:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Xie, Yu, Ren, Xingkai, Qi, Ying, Hu, Yao, Shan, Lianlei
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2506.19235
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Thinking on the Fly: Test-Time Reasoning Enhancement via Latent Thought Policy Optimization
by: Ye, Wengao, et al.
Published: (2025)

Latent-Space Contrastive Reinforcement Learning for Stable and Efficient LLM Reasoning
by: Shan, Lianlei, et al.
Published: (2026)

GeoLocSFT: Efficient Visual Geolocation via Supervised Fine-Tuning of Multimodal Foundation Models
by: Yi, Qiang, et al.
Published: (2025)

Thoughts-as-Planning: Latent World Models for Chain-of-Thoughts Optimization via Reinforcement Planning
by: Liu, Dong, et al.
Published: (2026)

Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs
by: Xia, Yu, et al.
Published: (2024)

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding
by: Liu, Shiyu, et al.
Published: (2025)

Lifelong Learning and Selective Forgetting via Contrastive Strategy
by: Shan, Lianlei, et al.
Published: (2024)

RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm
by: Zhang, Yabin, et al.
Published: (2024)

Chart-R1: Chain-of-Thought Supervision and Reinforcement for Advanced Chart Reasoner
by: Chen, Lei, et al.
Published: (2025)

Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search
by: Shen, Maohao, et al.
Published: (2025)

Self-Compression of Chain-of-Thought via Multi-Agent Reinforcement Learning
by: Chen, Yiqun, et al.
Published: (2026)

ThinkDrive: Chain-of-Thought Guided Progressive Reinforcement Learning Fine-Tuning for Autonomous Driving
by: Zhao, Chang, et al.
Published: (2026)

Critique-RL: Training Language Models for Critiquing through Two-Stage Reinforcement Learning
by: Xi, Zhiheng, et al.
Published: (2025)

Pentest-R1: Towards Autonomous Penetration Testing Reasoning Optimized via Two-Stage Reinforcement Learning
by: Kong, He, et al.
Published: (2025)

KV-Efficient VLA: A Method to Speed up Vision Language Models with RNN-Gated Chunked KV Cache
by: Xu, Wanshun, et al.
Published: (2025)

MuonRec: Shifting the Optimizer Paradigm Beyond Adam in Scalable Generative Recommendation
by: Shan, Rong, et al.
Published: (2026)

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

In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought
by: Huang, Sili, et al.
Published: (2024)

SAGE: Sequence-level Adaptive Gradient Evolution for Generative Recommendation
by: Xie, Yu, et al.
Published: (2026)

Cognitive Memory in Large Language Models
by: Shan, Lianlei, et al.
Published: (2025)

RecBundle: A Next-Generation Geometric Paradigm for Explainable Recommender Systems
by: Wang, Hui, et al.
Published: (2026)

LLM Reasoning Is Latent, Not the Chain of Thought
by: Wang, Wenshuo
Published: (2026)

Training Multimodal Large Reasoning Models Needs Better Thoughts: A Three-Stage Framework for Long Chain-of-Thought Synthesis and Selection
by: Wang, Yizhi, et al.
Published: (2025)

Learning to Correct: Calibrated Reinforcement Learning for Multi-Attempt Chain-of-Thought
by: Ildiz, Muhammed Emrullah, et al.
Published: (2026)

Rethinking Supply Chain Planning: A Generative Paradigm
by: Yin, Jiaheng, et al.
Published: (2025)

IDGenRec: LLM-RecSys Alignment with Textual ID Learning
by: Tan, Juntao, et al.
Published: (2024)

GOT4Rec: Graph of Thoughts for Sequential Recommendation
by: Long, Zewen, et al.
Published: (2024)

Content-Aware Ad Banner Layout Generation with Two-Stage Chain-of-Thought in Vision Language Models
by: Yoshitake, Kei, et al.
Published: (2025)

GeoGramBench: Benchmarking the Geometric Program Reasoning in Modern LLMs
by: Luo, Shixian, et al.
Published: (2025)

Counterfactual Simulation Training for Chain-of-Thought Faithfulness
by: Hase, Peter, et al.
Published: (2026)

CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning
by: Zhu, Wenqiao, et al.
Published: (2025)

Reinforcing Structured Chain-of-Thought for Video Understanding
by: Wang, Peiyao, et al.
Published: (2026)

GCoT: Chain-of-Thought Prompt Learning for Graphs
by: Yu, Xingtong, et al.
Published: (2025)

Reinforcement Learning for Chain of Thought Compression with One-Domain-to-All Generalization
by: Li, Hanyu, et al.
Published: (2025)

Learning Composable Chains-of-Thought
by: Yin, Fangcong, et al.
Published: (2025)

Learning to Rank Chain-of-Thought: Using a Small Model
by: Jiang, Eric Hanchen, et al.
Published: (2025)

Upfront Chain-of-Thought: A Cooperative Framework for Chain-of-Thought Compression
by: Li, Chengzhengxu, et al.
Published: (2025)

What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning
by: Jiang, Gangwei, et al.
Published: (2025)

Reinforcing Chain-of-Thought Reasoning with Self-Evolving Rubrics
by: Sheng, Leheng, et al.
Published: (2026)

Rethinking Chain-of-Thought from the Perspective of Self-Training
by: Wu, Zongqian, et al.
Published: (2024)