MosaicThinker: On-Device Visual Spatial Reasoning for Embodied AI via Iterative Construction of Space Representation
arXiv:2602.07082v1 Announce Type: cross Abstract: When embodied AI is expanding from traditional object detection and recognition to more advanced tasks…
Temperature Scaling Attack Disrupting Model Confidence in Federated Learning
arXiv:2602.06638v2 Announce Type: replace-cross Abstract: Predictive confidence serves as a foundational control signal in mission-critical systems, directly governing risk-aware logic…
InftyThink+: Effective and Efficient Infinite-Horizon Reasoning via Reinforcement Learning
arXiv:2602.06960v2 Announce Type: replace-cross Abstract: Large reasoning models achieve strong performance by scaling inference-time chain-of-thought, but this paradigm suffers from…
When Do Multi-Agent Systems Outperform? Analysing the Learning Efficiency of Agentic Systems
arXiv:2602.08272v1 Announce Type: cross Abstract: Reinforcement Learning (RL) has emerged as a crucial method for training or fine-tuning large language…
CoRect: Context-Aware Logit Contrast for Hidden State Rectification to Resolve Knowledge Conflicts
arXiv:2602.08221v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) often struggles with knowledge conflicts, where model-internal parametric knowledge overrides retrieved evidence,…
Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data
arXiv:2602.07081v1 Announce Type: cross Abstract: This paper introduces a generalized federated prompt-tuning framework for practical scenarios where local datasets are…
SuReNav: Superpixel Graph-based Constraint Relaxation for Navigation in Over-constrained Environments
arXiv:2602.06807v1 Announce Type: cross Abstract: We address the over-constrained planning problem in semi-static environments. The planning objective is to find…
Towards Agentic Intelligence for Materials Science
arXiv:2602.00169v2 Announce Type: replace-cross Abstract: The convergence of artificial intelligence and materials science presents a transformative opportunity, but achieving true…
D-SCoRE: Document-Centric Segmentation and CoT Reasoning with Structured Export for QA-CoT Data Generation
arXiv:2508.01309v2 Announce Type: replace-cross Abstract: The scarcity and high cost of high-quality domain-specific question-answering (QA) datasets limit supervised fine-tuning of…
CSRv2: Unlocking Ultra-Sparse Embeddings
arXiv:2602.05735v2 Announce Type: replace-cross Abstract: In the era of large foundation models, the quality of embeddings has become a central…