AI-Model Network: Concept, Current State and Future
arXiv:2606.27382v1 Announce Type: new Abstract: While the primary function of computers lies in computation and processing, the core value of…
DiARC: Distinguishing Positive and Negative Samples Helps Improving ARC-like Reasoning Ability of Large Language Models
arXiv:2606.26530v2 Announce Type: replace-cross Abstract: The Abstraction and Reasoning Corpus (ARC) contains tasks that require summarizing patterns from limited grid…
CPAgents: Agentic Composite Phenotype Generation for Cardiac Disease Association
arXiv:2606.28179v1 Announce Type: cross Abstract: Identifying robust associations between cardiac imaging phenotypes and clinical diseases is fundamental to population-scale cardiovascular…
Helpfulness Hurts: Domain-Dependent Degradation of Mid-Trained Compassion Values Under Post-Training
arXiv:2606.26102v2 Announce Type: replace-cross Abstract: Standard post-training pipelines apply supervised fine-tuning (SFT) and reinforcement learning (RL) to make language models…
Detecting and Controlling Sycophancy with Cascading Linear Features
arXiv:2606.26155v1 Announce Type: new Abstract: Interpreting and controlling model behaviors through activation steering methods requires many pairs of contrastive samples…
MiniOpt: Reasoning to Model and Solve General Optimization Problems with Limited Resources
arXiv:2606.25832v2 Announce Type: replace-cross Abstract: Achieving strong optimization generalization across diverse optimization problems while requiring limited training resources remains a…
CascadeFormer: Depth-Tapered Transformers Motivated by Gradient Fan-in Asymmetry
arXiv:2606.26538v1 Announce Type: cross Abstract: Deep Transformers are composed of uniformly stacked residual blocks, yet their deepest layers often add…
From Hallucination to Grounding: Diagnosing Visual Spatial Intelligence via CRISP
arXiv:2606.26535v1 Announce Type: cross Abstract: Current VLM evaluations often conflate language priors with genuine spatial reasoning. To address this, we…