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Which LLMs are difficult to detect? A Detailed Analysis of Potential Factors Contributing to Difficulties in LLM Text Detection(1) Speculative Speculative Decoding Shape anisotropy governs organization of active rods: Swarming, turbulence, flocking, and jamming. Agentic Learner with Grow-and-Refine Multimodal Semantic Memory Representational Curvature Modulates Behavioral Uncertainty in Large Language Models Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning TIDE: Every Layer Knows the Token Beneath the Context Normalized Architectures are Natively 4-Bit Towards Reliable Detection of LLM-Generated Texts: A Comprehensive Evaluation Framework with CUDRT Improving RL Exploration for LLM Reasoning through Retrospective Replay STREET-LEVEL BUREAUCRACY AND PUBLIC POLICIES: ANALYZING EDUCATIONAL POLICY IMPLEMENTATION FROM THE PERSPECTIVE OF SCHOOLS AND TEACHERS AIGC全文报告_多元主体参与下的社区治理创新模式研究 Shape anisotropy governs organization of active rods: Swarming, turbulence, flocking, and jamming. Deeper detection limits in astronomical imaging using self-supervised spatiotemporal denoising Evaluation in EEG Emotion Recognition: State-of-the-Art Review and Unified Framework Cross-Domain EEG-Based Emotion Recognition with Contrastive Learning 企业评价体系的管理实践特征与乡村振兴分析——以新华传媒和三维通信为例_韩宜辰 Force-free molecular dynamics through autoregressive equivariant networks Sparser, Faster, Lighter Transformer Language Models Deeper detection limits in astronomical imaging using self-supervised spatiotemporal denoising Continuous Latent Diffusion Language Model Demystifying Manifold Constraints in LLM Pre-training Iterative Finetuning is Mostly Idempotent 1003_Review of Methods of information geometry by Shunichi Amari and Hiroshi Nagaoka, American Mathematical Society and Oxford University Press, 2000. 100_Toward Multiscreen Social TV with Geolocation-Aware Social Sense. 101_Sister and related societies - reaching out to ComSoc's global community [Global Communications News E-governance Experimental Framework Using a Mediated Artificial Superintelligence (mASI) System Research Study Task Offloading for Edge-Fog-Cloud Interplay in the Healthcare Internet of Things (IoT)