:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Junjie, Ma, Guozheng, Liu, Shunyu, Hu, Zetian, Jing, Yongcheng, Lin, Ting-En, Li, Yongbin, Tao, Dacheng
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2605.18851
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Survey of Direct Preference Optimization
by: Liu, Shunyu, et al.
Published: (2025)

CoVeR: Conformal Calibration for Versatile and Reliable Autoregressive Next-Token Prediction
by: Chen, Yuzhu, et al.
Published: (2025)

A Simple "Motivation" Can Enhance Reinforcement Finetuning of Large Reasoning Models
by: Zhang, Junjie, et al.
Published: (2025)

Distillation Traps and Guards: A Calibration Knob for LLM Distillability
by: Zhan, Weixiao, et al.
Published: (2026)

Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback
by: Lin, Yen-Ting, et al.
Published: (2025)

Rethinking the Role of Dynamic Sparse Training for Scalable Deep Reinforcement Learning
by: Ma, Guozheng, et al.
Published: (2025)

What Makes Value Learning Efficient in Residual Reinforcement Learning?
by: Ma, Guozheng, et al.
Published: (2026)

R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization
by: Zhang, Jingyi, et al.
Published: (2025)

Erasing Without Remembering: Implicit Knowledge Forgetting in Large Language Models
by: Wang, Huazheng, et al.
Published: (2025)

Partial Feedback Online Learning
by: Shao, Shihao, et al.
Published: (2026)

Supervised Optimism Correction: Be Confident When LLMs Are Sure
by: Zhang, Junjie, et al.
Published: (2025)

STRIDE: Automating Reward Design, Deep Reinforcement Learning Training and Feedback Optimization in Humanoid Robotics Locomotion
by: Wu, Zhenwei, et al.
Published: (2025)

SPA-Cache: Singular Proxies for Adaptive Caching in Diffusion Language Models
by: Sun, Wenhao, et al.
Published: (2026)

Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning
by: Ma, Guozheng, et al.
Published: (2025)

HRP: High-Rank Preheating for Superior LoRA Initialization
by: Chen, Yuzhu, et al.
Published: (2025)

LLM-PS: Empowering Large Language Models for Time Series Forecasting with Temporal Patterns and Semantics
by: Tang, Jialiang, et al.
Published: (2025)

Disentangled Representation Learning via Flow Matching
by: Chi, Jinjin, et al.
Published: (2026)

Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models
by: Chen, Changyu, et al.
Published: (2024)

Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer
by: Kong, Yilun, et al.
Published: (2025)

Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages
by: Ma, Guozheng, et al.
Published: (2023)

Graph-Augmented Reasoning: Evolving Step-by-Step Knowledge Graph Retrieval for LLM Reasoning
by: Wu, Wenjie, et al.
Published: (2025)

Causal Concept Graphs in LLM Latent Space for Stepwise Reasoning
by: Meherab, Md Muntaqim, et al.
Published: (2026)

Factorize to Generalize: Retrieval-Guided Invariant-Dynamic Decomposition for Time Series Forecasting
by: Chi, Jinjin, et al.
Published: (2026)

JustLogic: A Comprehensive Benchmark for Evaluating Deductive Reasoning in Large Language Models
by: Chen, Michael K., et al.
Published: (2025)

Intra-Trajectory Consistency for Reward Modeling
by: Zhou, Chaoyang, et al.
Published: (2025)

Multiclass Online Learnability under Bandit Feedback
by: Raman, Ananth, et al.
Published: (2023)

STRIDE: A Systematic Framework for Selecting AI Modalities -- Agentic AI, AI Assistants, or LLM Calls
by: Asthana, Shubhi, et al.
Published: (2025)

Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use
by: Chen, Yuhan, et al.
Published: (2023)

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models
by: Cui, Yingqian, et al.
Published: (2025)

STRIDE: Structure and Embedding Distillation with Attention for Graph Neural Networks
by: Ahluwalia, Anshul, et al.
Published: (2023)

RL with Learnable Textual Feedback: A Bilevel Approach
by: Singh, Utsav, et al.
Published: (2026)

Cog-Rethinker: Hierarchical Metacognitive Reinforcement Learning for LLM Reasoning
by: Sun, Zexu, et al.
Published: (2025)

Dynamic Parallel Tree Search for Efficient LLM Reasoning
by: Ding, Yifu, et al.
Published: (2025)

Learning Multi-Agent Communication from Graph Modeling Perspective
by: Hu, Shengchao, et al.
Published: (2024)

Stepwise Self-Consistent Mathematical Reasoning with Large Language Models
by: Zhao, Zilong, et al.
Published: (2024)

Stepwise Penalization for Length-Efficient Chain-of-Thought Reasoning
by: Li, Xintong, et al.
Published: (2026)

GraphLearner: Graph Node Clustering with Fully Learnable Augmentation
by: Yang, Xihong, et al.
Published: (2022)

STRIDE: Subset-Free Functional Decomposition for XAI in Tabular Settings
by: Ko, Chaeyun
Published: (2025)

From Sparse Sensors to Continuous Fields: STRIDE for Spatiotemporal Reconstruction
by: Tong, Yanjie, et al.
Published: (2026)

QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search
by: Lin, Zongyu, et al.
Published: (2025)