The Price of Sparsity: Sufficient Conditions for Sparse Recovery using Sparse and Sparsified Measurements
We consider the problem of support recovery for sparse binary signals from noisy linear measurements. For sparse Gaus...
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We consider the problem of support recovery for sparse binary signals from noisy linear measurements. For sparse Gaus...
We study scheming in LLM agents, in which agents covertly pursue misaligned goals. Our focus is to understand how sch...
AI-powered search products such as ChatGPT search, Google's AI Overviews, and Perplexity provide LLM-synthesized answ...
Sequential memory agents process long documents by reading chunks one after another while maintaining a compact memor...
Plane geometry remains a significant challenge in AI, requiring the integration of visual perception and mathematical...
Multimodal large language models (MLLMs) process hundreds or thousands of visual tokens per image, incurring prohibit...
The banking system now depends on a small set of shared artificial intelligence vendors for fraud screening, credit d...
Simultaneous assessment of medical imaging and patient records is often required in clinical diagnosis. However, stan...
We present the PACE, a framework for retrieval-augmented dialogue serving that formalizes Perceived Time-to-First-Res...
Animation and VFX pre-production review requires teams to translate loosely specified creative intent--briefs, evolvi...
The growing complexity of content moderation policies presents a critical challenge for their consistent operationali...
Current LLM memory systems treat all personal facts identically, so stores grow without bound while retrieval precisi...