arXiv:2609.24002v1 Announce Type: new Abstract: Large language model agents increasingly answer financial questions by searching regulatory filings. Such…
Tag: AI
UniK: Universal Knowledge Perception for Digital and Physical AI
arXiv:2609.23971v1 Announce Type: new Abstract: Two transformative classes of AI systems are reshaping how organizations operate: \textit{digital AI},…
LEAP-NBV: Lightweight Edge Active-Perception for Foundation-Model Next-Best-View Planning
arXiv:2609.23974v1 Announce Type: new Abstract: Foundation models are endowing autonomous systems with greater intelligence, enabling a more comprehensive…
Jev-Mem: System-One-Controlled Agentic Memory for Efficient AI Agents
arXiv:2609.23986v1 Announce Type: new Abstract: Agentic memory is becoming essential for long-horizon AI agents, yet many existing systems rely on…
Increasing Skill Level Recruits Deeper Attention Layers in a Frozen Chess Transformer
arXiv:2609.23917v1 Announce Type: new Abstract: Chess involves complex reasoning in a deterministic environment, which makes it a useful setting for…
Divergent strategies and convergent outcomes in autonomous materials discovery
arXiv:2609.23957v1 Announce Type: new Abstract: Scientific agents are mostly evaluated on whether they complete tasks or recover known results; we instead…
Explainable Recommendations at Scale: LLM Rationales for YouTube Music Artist Discovery
arXiv:2609.23877v1 Announce Type: new Abstract: Modern music streaming platforms face a persistent tradeoff: exploiting familiar content versus driving…
Echo State Network (ESN) for Signal Recovery in RF-Impaired IBFD MIMO Systems
arXiv:2609.23945v1 Announce Type: new Abstract: In-band full-duplex (IBFD) multiple-input multiple-output (MIMO) systems enable simultaneous transmission…
Agents That Edit Documents: Measuring Agentic PDF Forgery Against a Non-Agentic Control
arXiv:2609.23953v1 Announce Type: new Abstract: AI agents that carry a multi-step computer task through on their own became ordinary tools in the past…
On Probabilistic Inference Through Parametric Tensor Decomposition in Base Tensor Networks
arXiv:2609.23774v1 Announce Type: new Abstract: Probabilistic inference is generally only tractable in low-treewidth graphical models, limiting its…