Cover Image

Learning to Learn from Multimodal Experience

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sui, Xingyu, Zhao, Weixiang, Tang, Yongxin, Zhao, Yanyan, Wu, Yang, Tu, Dandan, Qin, Bing
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TEA-Bench: A Systematic Benchmarking of Tool-enhanced Emotional Support Dialogue Agent
by: Sui, Xingyu, et al.
Published: (2026)

Safety Geometry Collapse in Multimodal LLMs and Adaptive Drift Correction
by: Guo, Jiahe, et al.
Published: (2026)

OP-Bench: Benchmarking Over-Personalization for Memory-Augmented Personalized Conversational Agents
by: Hu, Yulin, et al.
Published: (2026)

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

When Personalization Legitimizes Risks: Uncovering Safety Vulnerabilities in Personalized Dialogue Agents
by: Guo, Jiahe, et al.
Published: (2026)

Trade-offs in Large Reasoning Models: An Empirical Analysis of Deliberative and Adaptive Reasoning over Foundational Capabilities
by: Zhao, Weixiang, et al.
Published: (2025)

STAR-S: Improving Safety Alignment through Self-Taught Reasoning on Safety Rules
by: Wu, Di, et al.
Published: (2026)

Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators
by: Zhao, Lifan, et al.
Published: (2024)

Rethinking Experience Utilization in Self-Evolving Language Model Agents
by: Zhao, Weixiang, et al.
Published: (2026)

Hypergraph and Latent ODE Learning for Multimodal Root Cause Localization in Microservices
by: Liu, Xin, et al.
Published: (2026)

Learning Fine-Grained Grounded Citations for Attributed Large Language Models
by: Huang, Lei, et al.
Published: (2024)

GSEM: Graph-based Self-Evolving Memory for Experience Augmented Clinical Reasoning
by: Han, Xiao, et al.
Published: (2026)

FedCCRL: Federated Domain Generalization with Cross-Client Representation Learning
by: Wang, Xinpeng, et al.
Published: (2024)

MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Views
by: Cai, Muzhen, et al.
Published: (2024)

Learning in Order! A Sequential Strategy to Learn Invariant Features for Multimodal Sentiment Analysis
by: Zhao, Xianbing, et al.
Published: (2024)

PsychAgent: An Experience-Driven Lifelong Learning Agent for Self-Evolving Psychological Counselor
by: Yang, Yutao, et al.
Published: (2026)

Salience-Invariant Consistent Policy Learning for Generalization in Visual Reinforcement Learning
by: Sun, Jingbo, et al.
Published: (2025)

Multimodal Negative Learning
by: Gong, Baoquan, et al.
Published: (2025)

CLI-Gym: Scalable CLI Task Generation via Agentic Environment Inversion
by: Lin, Yusong, et al.
Published: (2026)

Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training
by: Yang, Jinxia, et al.
Published: (2024)

XSkill: Continual Learning from Experience and Skills in Multimodal Agents
by: Jiang, Guanyu, et al.
Published: (2026)

Multimodal Representation Learning Conditioned on Semantic Relations
by: Qiao, Yang, et al.
Published: (2025)

Reachability Verification Based Reliability Assessment for Deep Reinforcement Learning Controlled Robotics and Autonomous Systems
by: Dong, Yi, et al.
Published: (2022)

AutoTool: Automatic Scaling of Tool-Use Capabilities in RL via Decoupled Entropy Constraints
by: Zeng, Yirong, et al.
Published: (2026)

Property Prediction of Stacked Bilayer Materials: A Multimodal Learning Approach
by: Vuong, An, et al.
Published: (2026)

Self-Foveate: Enhancing Diversity and Difficulty of Synthesized Instructions from Unsupervised Text via Multi-Level Foveation
by: Li, Mingzhe, et al.
Published: (2025)

Toward Robust Multimodal Learning using Multimodal Foundational Models
by: Zhao, Xianbing, et al.
Published: (2024)

Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
by: Guo, Yongxin, et al.
Published: (2024)

Think in Games: Learning to Reason in Games via Reinforcement Learning with Large Language Models
by: Liao, Yi, et al.
Published: (2025)

OptSkills: Learning Generalizable Optimization Skills from Problem Archetypes via Cluster-Based Distillation
by: Yang, Haochen, et al.
Published: (2026)

Grounded by Experience: Generative Healthcare Prediction Augmented with Hierarchical Agentic Retrieval
by: Zhao, Chuang, et al.
Published: (2025)

Not All Tokens See Equally: Perception-Grounded Policy Optimization for Large Vision-Language Models
by: Ye, Zekai, et al.
Published: (2026)

Schema-Aware Planning and Hybrid Knowledge Toolset for Reliable Knowledge Graph Triple Verification
by: Ma, Xinyan, et al.
Published: (2026)

Scaling Agent Learning via Experience Synthesis
by: Chen, Zhaorun, et al.
Published: (2025)

Causal-Guided Active Learning for Debiasing Large Language Models
by: Du, Li, et al.
Published: (2024)

SRTFD: Scalable Real-Time Fault Diagnosis through Online Continual Learning
by: Zhao, Dandan, et al.
Published: (2024)

Multimodal Reinforcement Learning with Adaptive Verifier for AI Agents
by: Tan, Reuben, et al.
Published: (2025)

Impact of Multimodal and Conversational AI on Learning Outcomes and Experience
by: Taneja, Karan, et al.
Published: (2026)

Triple Disentangled Representation Learning for Multimodal Affective Analysis
by: Zhou, Ying, et al.
Published: (2024)

Cross-Modal Attention Network with Dual Graph Learning in Multimodal Recommendation
by: Dai, Ji, et al.
Published: (2026)