Cover Image

On Reasoning Strength Planning in Large Reasoning Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sheng, Leheng, Zhang, An, Wu, Zijian, Zhao, Weixiang, Shen, Changshuo, Zhang, Yi, Wang, Xiang, Chua, Tat-Seng
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Reasoning Can Be Restored by Correcting a Few Decision Tokens
by: Shen, Changshuo, et al.
Published: (2026)

AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint
by: Sheng, Leheng, et al.
Published: (2025)

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

On Generative Agents in Recommendation
by: Zhang, An, et al.
Published: (2023)

Language Representations Can be What Recommenders Need: Findings and Potentials
by: Sheng, Leheng, et al.
Published: (2024)

When to Memorize and When to Stop: Gated Recurrent Memory for Long-Context Reasoning
by: Sheng, Leheng, et al.
Published: (2026)

Internalizing Safety Understanding in Large Reasoning Models via Verification
by: Zhang, Yi, et al.
Published: (2026)

Reasoning While Recommending: Entropy-Guided Latent Reasoning in Generative Re-ranking Models
by: Zhang, Changshuo
Published: (2026)

Exploring and Exploiting the Inherent Efficiency within Large Reasoning Models for Self-Guided Efficiency Enhancement
by: Zhao, Weixiang, et al.
Published: (2025)

SafeMLRM: Demystifying Safety in Multi-modal Large Reasoning Models
by: Fang, Junfeng, et al.
Published: (2025)

Self-Guard: Defending Large Reasoning Models via enhanced self-reflection
by: Zheng, Jingnan, et al.
Published: (2026)

On Softmax Direct Preference Optimization for Recommendation
by: Chen, Yuxin, et al.
Published: (2024)

Reinforced Latent Reasoning for LLM-based Recommendation
by: Zhang, Yang, et al.
Published: (2025)

Reasoning over Semantic IDs Enhances Generative Recommendation
by: He, Yingzhi, et al.
Published: (2026)

Learning to Self-Verify Makes Language Models Better Reasoners
by: Chen, Yuxin, et al.
Published: (2026)

Disentangling Masked Autoencoders for Unsupervised Domain Generalization
by: Zhang, An, et al.
Published: (2024)

LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph
by: Ao, Tu, et al.
Published: (2025)

Transport and Merge: Cross-Architecture Merging for Large Language Models
by: Cui, Chenhang, et al.
Published: (2026)

Temporal Relational Reasoning of Large Language Models for Detecting Stock Portfolio Crashes
by: Koa, Kelvin J. L., et al.
Published: (2024)

LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation
by: He, Yingzhi, et al.
Published: (2025)

TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Data
by: Zhu, Fengbin, et al.
Published: (2024)

Compose Your Aesthetics: Empowering Text-to-Image Models with the Principles of Art
by: Jin, Zhe, et al.
Published: (2025)

Ask-before-Plan: Proactive Language Agents for Real-World Planning
by: Zhang, Xuan, et al.
Published: (2024)

Robust Prompt Optimization for Large Language Models Against Distribution Shifts
by: Li, Moxin, et al.
Published: (2023)

RSafe: Incentivizing proactive reasoning to build robust and adaptive LLM safeguards
by: Zheng, Jingnan, et al.
Published: (2025)

Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents
by: Deng, Yang, et al.
Published: (2023)

Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs
by: Zhu, Fengbin, et al.
Published: (2023)

A Picture Is Worth a Graph: A Blueprint Debate Paradigm for Multimodal Reasoning
by: Zheng, Changmeng, et al.
Published: (2024)

Reasoning on Time-Series for Financial Technical Analysis
by: Koa, Kelvin J. L., et al.
Published: (2025)

Hello Again! LLM-powered Personalized Agent for Long-term Dialogue
by: Li, Hao, et al.
Published: (2024)

Reasoning Relay: Evaluating Stability and Interchangeability of Large Language Models in Mathematical Reasoning
by: Lu, Leo, et al.
Published: (2025)

PlanU: Large Language Model Reasoning through Planning under Uncertainty
by: Deng, Ziwei, et al.
Published: (2025)

MLLMEraser: Achieving Test-Time Unlearning in Multimodal Large Language Models through Activation Steering
by: Ding, Chenlu, et al.
Published: (2025)

Towards Goal-oriented Intelligent Tutoring Systems in Online Education
by: Deng, Yang, et al.
Published: (2023)

CARL: Criticality-Aware Agentic Reinforcement Learning
by: Shen, Leyang, et al.
Published: (2025)

Large Language Models Empowered Personalized Web Agents
by: Cai, Hongru, et al.
Published: (2024)

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

Adaptive Dual Reasoner: Large Reasoning Models Can Think Efficiently by Hybrid Reasoning
by: Zhang, Yujian, et al.
Published: (2025)

MLLM-CTBench: A Benchmark for Continual Instruction Tuning with Reasoning Process Diagnosis
by: Guo, Haiyun, et al.
Published: (2025)

Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space
by: Zhang, Zhen, et al.
Published: (2025)