Technology
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Emergent Language as an Approach to Conscious AI
arXiv:2606.06380v1 Announce Type: cross Abstract: The question of whether artificial systems can be conscious remains...
HomeWorld: A Unified Floorplan-to-Furnished Framework for Generating Controllable, Densely Interactive Whole-Home Scenes
arXiv:2606.06390v1 Announce Type: cross Abstract: Indoor scene generation is crucial for robot simulation and modern...
Double Preconditioning (DoPr): Optimization for Test-Time Performance, not Validation Loss
arXiv:2606.06418v1 Announce Type: cross Abstract: Many modern applications of deep learning involve training a neural...
RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation
arXiv:2606.06423v1 Announce Type: cross Abstract: Safety-critical traffic scenario generation is essential for...
In-Context Multiple Instance Learning
arXiv:2606.06458v1 Announce Type: cross Abstract: Multiple Instance Learning (MIL) addresses problems where...
Will the Agent Recuse Itself? Measuring LLM-Agent Compliance with In-Band Access-Deny Signals
arXiv:2606.06460v1 Announce Type: cross Abstract: As autonomous LLM agents increasingly hold real credentials and...
You Only Index Once: Cross-Layer Sparse Attention with Shared Routing
arXiv:2606.06467v1 Announce Type: cross Abstract: Long-context inference in modern LLMs is increasingly constrained by...
PC Layer: Polynomial Weight Preconditioning for Improving LLM Pre-Training
arXiv:2606.06470v1 Announce Type: cross Abstract: We propose a preconditioning (PC) layer, a weight parameterization...
Self-Augmenting Retrieval for Diffusion Language Models
arXiv:2606.06474v1 Announce Type: cross Abstract: Discrete diffusion language models generate text by iteratively...
RREDCoT: Segment-Level Reward Redistribution for Reasoning Models
arXiv:2606.06475v1 Announce Type: cross Abstract: Recent advancements in reasoning language models have been driven by...
Pretraining Recurrent Networks without Recurrence
arXiv:2606.06479v1 Announce Type: cross Abstract: Training recurrent neural networks (RNNs) requires assigning credit...
Regret Minimization with Adaptive Opponents in Repeated Games
arXiv:2606.06486v1 Announce Type: cross Abstract: In this paper, we study regret minimization in repeated games with...
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