Saved in:
| Main Authors: | Wang, Fan, Chen, Zhiyuan, Zhong, Yuxuan, Zheng, Sunjian, Shao, Pengtao, Yu, Bo, Liu, Shaoshan, Wang, Jianan, Ding, Ning, Cao, Yang, Kang, Yu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.22353 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Large-Scale In-Context Reinforcement Learning by Meta-Training in Randomized Worlds
by: Wang, Fan, et al.
Published: (2025)
by: Wang, Fan, et al.
Published: (2025)
StateLinFormer: Stateful Training Enhancing Long-term Memory in Navigation
by: Chen, Zhiyuan, et al.
Published: (2026)
by: Chen, Zhiyuan, et al.
Published: (2026)
In-Context Learning can Perform Continual Learning Like Humans
by: Kang, Liuwang, et al.
Published: (2025)
by: Kang, Liuwang, et al.
Published: (2025)
EfficientNav: Towards On-Device Object-Goal Navigation with Navigation Map Caching and Retrieval
by: Yang, Zebin, et al.
Published: (2025)
by: Yang, Zebin, et al.
Published: (2025)
Benchmarking General-Purpose In-Context Learning
by: Wang, Fan, et al.
Published: (2024)
by: Wang, Fan, et al.
Published: (2024)
Leveraging Diverse Modeling Contexts with Collaborating Learning for Neural Machine Translation
by: Liao, Yusheng, et al.
Published: (2024)
by: Liao, Yusheng, et al.
Published: (2024)
Conceptual Framework Toward Embodied Collective Adaptive Intelligence
by: Wang, Fan, et al.
Published: (2025)
by: Wang, Fan, et al.
Published: (2025)
MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts
by: Haohong Zhang, et al.
Published: (2026)
by: Haohong Zhang, et al.
Published: (2026)
ADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Models
by: Yin, Yuxuan, et al.
Published: (2024)
by: Yin, Yuxuan, et al.
Published: (2024)
BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning
by: Nie, Ercong, et al.
Published: (2024)
by: Nie, Ercong, et al.
Published: (2024)
Towards Provable Emergence of In-Context Reinforcement Learning
by: Wang, Jiuqi, et al.
Published: (2025)
by: Wang, Jiuqi, et al.
Published: (2025)
Understanding Task Vectors in In-Context Learning: Emergence, Functionality, and Limitations
by: Dong, Yuxin, et al.
Published: (2025)
by: Dong, Yuxin, et al.
Published: (2025)
From Context to Skills: Can Language Models Learn from Context Skillfully?
by: Si, Shuzheng, et al.
Published: (2026)
by: Si, Shuzheng, et al.
Published: (2026)
Context Matters: Learning Global Semantics via Object-Centric Representation
by: Zhong, Jike, et al.
Published: (2025)
by: Zhong, Jike, et al.
Published: (2025)
Histopathology Image Report Generation by Vision Language Model with Multimodal In-Context Learning
by: Liu, Shih-Wen, et al.
Published: (2025)
by: Liu, Shih-Wen, et al.
Published: (2025)
OmniMMI: A Comprehensive Multi-modal Interaction Benchmark in Streaming Video Contexts
by: Wang, Yuxuan, et al.
Published: (2025)
by: Wang, Yuxuan, et al.
Published: (2025)
LoPT: Lossless Parallel Tokenization Acceleration for Long Context Inference of Large Language Model
by: Shao, Wei, et al.
Published: (2025)
by: Shao, Wei, et al.
Published: (2025)
Overcoming Long-Context Limitations of State-Space Models via Context-Dependent Sparse Attention
by: Zhan, Zhihao, et al.
Published: (2025)
by: Zhan, Zhihao, et al.
Published: (2025)
VICON: Vision In-Context Operator Networks for Multi-Physics Fluid Dynamics Prediction
by: Cao, Yadi, et al.
Published: (2024)
by: Cao, Yadi, et al.
Published: (2024)
Order Matters: Rethinking Prompt Construction in In-Context Learning
by: Li, Warren, et al.
Published: (2025)
by: Li, Warren, et al.
Published: (2025)
Transverse momentum dependent distribution functions in the threshold limit
by: Kang, Zhong-Bo, et al.
Published: (2022)
by: Kang, Zhong-Bo, et al.
Published: (2022)
Enhancing the Medical Context-Awareness Ability of LLMs via Multifaceted Self-Refinement Learning
by: Zhou, Yuxuan, et al.
Published: (2025)
by: Zhou, Yuxuan, et al.
Published: (2025)
Submodular Context Partitioning and Compression for In-Context Learning
by: Zheng, Shaoyi, et al.
Published: (2025)
by: Zheng, Shaoyi, et al.
Published: (2025)
On the Emergence of Induction Heads for In-Context Learning
by: Musat, Tiberiu, et al.
Published: (2025)
by: Musat, Tiberiu, et al.
Published: (2025)
DySL-VLA: Efficient Vision-Language-Action Model Inference via Dynamic-Static Layer-Skipping for Robot Manipulation
by: Yang, Zebin, et al.
Published: (2026)
by: Yang, Zebin, et al.
Published: (2026)
LoongRL: Reinforcement Learning for Advanced Reasoning over Long Contexts
by: Wang, Siyuan, et al.
Published: (2025)
by: Wang, Siyuan, et al.
Published: (2025)
Training Cross-Morphology Embodied AI Agents: From Practical Challenges to Theoretical Foundations
by: Liu, Shaoshan, et al.
Published: (2025)
by: Liu, Shaoshan, et al.
Published: (2025)
Determination of the initial condition for the Balitsky-Kovchegov equation with transformers
by: Gao, Meisen, et al.
Published: (2025)
by: Gao, Meisen, et al.
Published: (2025)
Probing Transverse Momentum Dependent Structures with Azimuthal Dependence of Energy Correlators
by: Kang, Zhong-Bo, et al.
Published: (2023)
by: Kang, Zhong-Bo, et al.
Published: (2023)
Task Vectors in In-Context Learning: Emergence, Formation, and Benefit
by: Yang, Liu, et al.
Published: (2025)
by: Yang, Liu, et al.
Published: (2025)
Towards Monotonic Improvement in In-Context Reinforcement Learning
by: Zhang, Wenhao, et al.
Published: (2025)
by: Zhang, Wenhao, et al.
Published: (2025)
ContextGuard: Structured Self-Auditing for Context Learning in Language Models
by: Jin, Hongbo, et al.
Published: (2026)
by: Jin, Hongbo, et al.
Published: (2026)
IC-World: In-Context Generation for Shared World Modeling
by: Wu, Fan, et al.
Published: (2025)
by: Wu, Fan, et al.
Published: (2025)
In-Context Symmetries: Self-Supervised Learning through Contextual World Models
by: Gupta, Sharut, et al.
Published: (2024)
by: Gupta, Sharut, et al.
Published: (2024)
Context-measure: Contextualizing Metric for Camouflage
by: Wang, Chen-Yang, et al.
Published: (2025)
by: Wang, Chen-Yang, et al.
Published: (2025)
Training Dynamics of Multi-Head Softmax Attention for In-Context Learning: Emergence, Convergence, and Optimality
by: Chen, Siyu, et al.
Published: (2024)
by: Chen, Siyu, et al.
Published: (2024)
WorldScribe: Towards Context-Aware Live Visual Descriptions
by: Chang, Ruei-Che, et al.
Published: (2024)
by: Chang, Ruei-Che, et al.
Published: (2024)
Compositional Kronecker Context Optimization for Vision-Language Models
by: Ding, Kun, et al.
Published: (2024)
by: Ding, Kun, et al.
Published: (2024)
The Biggest Risk of Embodied AI is Governance Lag
by: Liu, Shaoshan
Published: (2026)
by: Liu, Shaoshan
Published: (2026)
SAIL: Sample-Centric In-Context Learning for Document Information Extraction
by: Zhang, Jinyu, et al.
Published: (2024)
by: Zhang, Jinyu, et al.
Published: (2024)
Similar Items
-
Towards Large-Scale In-Context Reinforcement Learning by Meta-Training in Randomized Worlds
by: Wang, Fan, et al.
Published: (2025) -
StateLinFormer: Stateful Training Enhancing Long-term Memory in Navigation
by: Chen, Zhiyuan, et al.
Published: (2026) -
In-Context Learning can Perform Continual Learning Like Humans
by: Kang, Liuwang, et al.
Published: (2025) -
EfficientNav: Towards On-Device Object-Goal Navigation with Navigation Map Caching and Retrieval
by: Yang, Zebin, et al.
Published: (2025) -
Benchmarking General-Purpose In-Context Learning
by: Wang, Fan, et al.
Published: (2024)