Imagen de Portada

Internalizing Meta-Experience into Memory for Guided Reinforcement Learning in Large Language Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Huang, Shiting, Li, Zecheng, Zeng, Yu, Ren, Qingnan, Fang, Zhen, Su, Qisheng, Shi, Kou, Chen, Lin, Chen, Zehui, Zhao, Feng
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

ADORA: Training Reasoning Models with Dynamic Advantage Estimation on Reinforcement Learning
por: Ren, Qingnan, et al.
Publicado: (2026)

Beyond Accuracy: Unveiling Inefficiency Patterns in Tool-Integrated Reasoning
por: Su, Qisheng, et al.
Publicado: (2026)

SaaSBench: Exploring the Boundaries of Coding Agents in Long-Horizon Enterprise SaaS Engineering
por: Ren, Qingnan, et al.
Publicado: (2026)

ACC: Compiling Agent Trajectories for Long-Context Training
por: Su, Qisheng, et al.
Publicado: (2026)

CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios
por: Huang, Shiting, et al.
Publicado: (2025)

SkillFlow:Benchmarking Lifelong Skill Discovery and Evolution for Autonomous Agents
por: Zhang, Ziao, et al.
Publicado: (2026)

AsyncTool: Evaluating the Asynchronous Function Calling Capability under Multi-Task Scenarios
por: Shi, Kou, et al.
Publicado: (2026)

DualVLA: Building a Generalizable Embodied Agent via Partial Decoupling of Reasoning and Action
por: Fang, Zhen, et al.
Publicado: (2025)

Agentic Jigsaw Interaction Learning for Enhancing Visual Perception and Reasoning in Vision-Language Models
por: Zeng, Yu, et al.
Publicado: (2025)

Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models
por: Zeng, Yu, et al.
Publicado: (2026)

VideoSeeker: Incentivizing Instance-level Video Understanding via Native Agentic Tool Invocation
por: Zhao, Yiming, et al.
Publicado: (2026)

SCOPE: Structured Decomposition and Conditional Skill Orchestration for Complex Image Generation
por: Ren, Tianfei, et al.
Publicado: (2026)

Flow-OPD: On-Policy Distillation for Flow Matching Models
por: Fang, Zhen, et al.
Publicado: (2026)

Sleep Patterns and Cardiovascular Disease Risk: Investigating the Mediating Role of Inflammatory Markers in a Large NHANES Adult Population
por: Xinru Guo, et al.
Publicado: (2025)

FastEdit: Fast Text-Guided Single-Image Editing via Semantic-Aware Diffusion Fine-Tuning
por: Chen, Zhi, et al.
Publicado: (2024)

When Continual Learning Moves to Memory: A Study of Experience Reuse in LLM Agents
por: Hu, Qisheng, et al.
Publicado: (2026)

Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models
por: Huang, Wenxuan, et al.
Publicado: (2026)

Towards Fine-grained Large Object Segmentation 1st Place Solution to 3D AI Challenge 2020 -- Instance Segmentation Track
por: Chen, Zehui, et al.
Publicado: (2020)

Efficacy and safety of Anlotinib in combination with gemcitabine and cisplatin as a first‐line treatment for recurrent or metastatic nasopharyngeal carcinoma: A single‐arm clinical trial
por: Zhehao Xiao, et al.
Publicado: (2025)

Breaking Block Boundaries: Anchor-based History-stable Decoding for Diffusion Large Language Models
por: Zou, Shun, et al.
Publicado: (2026)

Confident RAG: Enhancing the Performance of LLMs for Mathematics Question Answering through Multi-Embedding and Confidence Scoring
por: Chen, Shiting, et al.
Publicado: (2025)

VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning
por: Wang, Qiuchen, et al.
Publicado: (2025)

Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models
por: Chen, Zehui, et al.
Publicado: (2024)

Towards Benign Memory Forgetting for Selective Multimodal Large Language Model Unlearning
por: Zeng, Zhen, et al.
Publicado: (2025)

RAP-SR: RestorAtion Prior Enhancement in Diffusion Models for Realistic Image Super-Resolution
por: Wang, Jiangang, et al.
Publicado: (2024)

Internalizing Agency from Reflective Experience
por: Ge, Rui, et al.
Publicado: (2026)

PEAM: Parametric Embodied Agent Memory through Contrastive Internalization of Experience in Minecraft
por: Guo, Yuchen, et al.
Publicado: (2026)

Are We on the Right Way for Evaluating Large Vision-Language Models?
por: Chen, Lin, et al.
Publicado: (2024)

GTA: Supervised-Guided Reinforcement Learning for Text Classification with Large Language Models
por: Zeng, Min, et al.
Publicado: (2025)

Theoretical Analysis of Meta Reinforcement Learning: Generalization Bounds and Convergence Guarantees
por: Wang, Cangqing, et al.
Publicado: (2024)

HyPerNav: Hybrid Perception for Object-Oriented Navigation in Unknown Environment
por: Yin, Zecheng, et al.
Publicado: (2025)

AttriLens-Mol: Attribute Guided Reinforcement Learning for Molecular Property Prediction with Large Language Models
por: Lin, Xuan, et al.
Publicado: (2025)

Custom code for LSGI manuscript
por: Liang, Qingnan
Publicado: (2025)

Negative Label Guided OOD Detection with Pretrained Vision-Language Models
por: Jiang, Xue, et al.
Publicado: (2024)

Efficient Reasoning for Large Reasoning Language Models via Certainty-Guided Reflection Suppression
por: Huang, Jiameng, et al.
Publicado: (2025)

Towards Localized and Disentangled Knowledge Editing for Multimodal Large Language Models
por: Gu, Leijiang, et al.
Publicado: (2026)

ISACL: Internal State Analyzer for Copyrighted Training Data Leakage
por: Zhang, Guangwei, et al.
Publicado: (2025)

Optimal Quantum Algorithm for Estimating Fidelity to a Pure State
por: Fang, Wang, et al.
Publicado: (2025)

T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step
por: Chen, Zehui, et al.
Publicado: (2023)

ECHO-2: A Large-Scale Distributed Rollout Framework for Cost-Efficient Reinforcement Learning
por: Song, Jingwei, et al.
Publicado: (2026)