:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Gao, Zijun, Xu, Zhikun, Ye, Xiao, Zhou, Ben
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2512.18857
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs
by: Li, Yinghui, et al.
Published: (2025)

Compositional Learning of Visually-Grounded Concepts Using Reinforcement
by: Lin, Zijun, et al.
Published: (2023)

Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback
by: Ying, Wangyang, et al.
Published: (2025)

Skill Reuse as Compression in Agentic RL
by: Xu, Zhikun, et al.
Published: (2026)

Bridging Dynamics Gaps via Diffusion Schrödinger Bridge for Cross-Domain Reinforcement Learning
by: Zhang, Hanping, et al.
Published: (2026)

Localized Definitions and Distributed Reasoning: A Proof-of-Concept Mechanistic Interpretability Study via Activation Patching
by: Bahador, Nooshin
Published: (2025)

Bridging Domain Gaps with Target-Aligned Generation for Offline Reinforcement Learning
by: Kim, Minung, et al.
Published: (2026)

Concept Tokens: Learning Behavioral Embeddings Through Concept Definitions
by: Sastre, Ignacio, et al.
Published: (2026)

Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning
by: Tan, Zelin, et al.
Published: (2025)

HER: Human-like Reasoning and Reinforcement Learning for LLM Role-playing
by: Du, Chengyu, et al.
Published: (2026)

Bridging the Performance Gap Between Target-Free and Target-Based Reinforcement Learning
by: Vincent, Théo, et al.
Published: (2025)

Process In-Context Learning: Enhancing Mathematical Reasoning via Dynamic Demonstration Insertion
by: Gao, Ang, et al.
Published: (2026)

Learn Globally, Speak Locally: Bridging the Gaps in Multilingual Reasoning
by: Hwang, Jaedong, et al.
Published: (2025)

Counterfactual explainability and analysis of variance
by: Gao, Zijun, et al.
Published: (2024)

TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis
by: Ye, Wen, et al.
Published: (2024)

CORE: Contrastive Masked Feature Reconstruction on Graphs
by: Bo, Jianyuan, et al.
Published: (2025)

Bridging the Sim-to-Real Gap in Reinforcement Learning-Based Industrial Dispatching through Execution Semantics
by: Hoss, Jonathan, et al.
Published: (2026)

LICORICE: Label-Efficient Concept-Based Interpretable Reinforcement Learning
by: Ye, Zhuorui, et al.
Published: (2024)

A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and Challenges
by: Liu, Guiliang, et al.
Published: (2024)

Bridging the Gap between Expert and Language Models: Concept-guided Chess Commentary Generation and Evaluation
by: Kim, Jaechang, et al.
Published: (2024)

Multi-Ontology Integration with Dual-Axis Propagation for Medical Concept Representation
by: Kerdabadi, Mohsen Nayebi, et al.
Published: (2025)

Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models
by: Qian, Tangwen, et al.
Published: (2024)

CORE: Constraint-Aware One-Step Reinforcement Learning for Simulation-Guided Neural Network Accelerator Design
by: Xiao, Yifeng, et al.
Published: (2025)

Bridging the Gap Between Bayesian Deep Learning and Ensemble Weather Forecasts
by: Xiong, Xinlei, et al.
Published: (2025)

DISPO: Enhancing Training Efficiency and Stability in Reinforcement Learning for Large Language Model Mathematical Reasoning
by: Karaman, Batuhan K., et al.
Published: (2026)

Hybrid Gaussian Process Regression with Temporal Feature Extraction for Partially Interpretable Remaining Useful Life Interval Prediction in Aeroengine Prognostics
by: Niu, Tian, et al.
Published: (2024)

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

Revealing Combinatorial Reasoning of GNNs via Graph Concept Bottleneck Layer
by: Niu, Yue, et al.
Published: (2026)

Quantifying the Generalization Gap in Seizure Detection: A Large-Scale Empirical Benchmark via the SzCORE Challenge
by: Dan, Jonathan, et al.
Published: (2025)

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
by: Luo, Haipeng, et al.
Published: (2023)

PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs
by: Ji, Shengwei, et al.
Published: (2024)

GLEAMS: Bridging the Gap Between Local and Global Explanations
by: Visani, Giorgio, et al.
Published: (2024)

Bridging the Gap: Representation Spaces in Neuro-Symbolic AI
by: Zhang, Xin, et al.
Published: (2024)

A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges
by: Qing, Yunpeng, et al.
Published: (2022)

Bridging Performance Gaps for ECG Foundation Models: A Post-Training Strategy
by: Zhou, Ya, et al.
Published: (2025)

Bridging Human and LLM Judgments: Understanding and Narrowing the Gap
by: Polo, Felipe Maia, et al.
Published: (2025)

CORE: Mitigating Catastrophic Forgetting in Continual Learning through Cognitive Replay
by: Zhang, Jianshu, et al.
Published: (2024)

CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning
by: Sauter, Andreas W. M., et al.
Published: (2024)

Schoenfeld's Anatomy of Mathematical Reasoning by Language Models
by: Li, Ming, et al.
Published: (2025)

The Definitive Guide to Policy Gradients in Deep Reinforcement Learning: Theory, Algorithms and Implementations
by: Lehmann, Matthias
Published: (2024)