arXiv:2609.05019v1 Announce Type: new Abstract: Agents tend to optimize, select, or constrain execution structures before decisive runtime outcomes are…
Tag: AI
Compact-Memory LLM Agents via Online Max-Member Clustering and Atom-Aware Packing
arXiv:2609.04915v1 Announce Type: new Abstract: Many long-horizon LLM deployments face tight prompt budgets: latency, cost, and context limits make…
Artificial Intelligence in Equity and Crypto Markets: Progress, Profitability Evidence, and the Limits of Automated Investing
arXiv:2609.04917v1 Announce Type: new Abstract: Artificial intelligence (AI) now supports investment workflows from data and prediction through research,…
Why We Care About Understanding: Competence through Predictive Compression
arXiv:2609.04962v1 Announce Type: new Abstract: What is the relation between understanding and compression, and why does human understanding take such a…
Global to Local: Topology-Preserving Adaptive Graph Pooling via Granular-Ball
arXiv:2609.04978v1 Announce Type: new Abstract: Graph pooling aims to compress the graph, including both node embeddings and their underlying topological…
UST Completes Majority Stake Acquisition of Italdesign From Audi
UST, a US-based AI and technology transformation company, has completed the acquisition of a majority stake in Italian design and engineering firm…
Solving Hard XAI Queries Based on a Compiled Dual-Rail Encoding
arXiv:2609.04931v1 Announce Type: new Abstract: The widespread adoption of artificial intelligence (AI) within real-world applications has raised a lot of…
AutoLR: Automating the Path from Research to Launch Review in Industrial Recommender Systems
arXiv:2609.04871v1 Announce Type: new Abstract: Improving an industrial recommender is an iterative research-and-engineering process rather than a direct…
From Language Models to World-Acting Systems: Progress and Limits of Agentic AI across Digital, Social, Virtual, and Physical Environments
arXiv:2609.04894v1 Announce Type: new Abstract: Large language models become consequential agents when surrounding systems let outputs change external…
Reinforcement Learning for Sequential Solar PV Policy Design under Uncertainty: An Agent-Based Approach
arXiv:2609.04880v1 Announce Type: new Abstract: Designing effective and fiscally sustainable policies for solar photovoltaic (PV) adoption requires…