arXiv:2603.29366v1 Announce Type: new
Abstract: Prior authorization remains one of the most burdensome administrative processes in U.S. healthcare, consuming billions of dollars and thousands of physician hours each year. While large language models h…
arXiv:2603.29878v1 Announce Type: cross
Abstract: Cloud systems generate large, heterogeneous log data containing critical infrastructure, application, and security information. Transforming these logs into RDF triples enables their integration into k…
arXiv:2603.29357v1 Announce Type: new
Abstract: AI evaluation suites often report many scores without checking whether those scores carry independent information. We introduce Effective Dimensionality (ED), the participation ratio of a centered benchm…
arXiv:2603.29353v1 Announce Type: new
Abstract: We introduce Nomad, a system for autonomous data exploration and insight discovery. Given a corpus of documents, databases, or other data sources, users rarely know the full set of questions, hypotheses,…
arXiv:2603.22519v2 Announce Type: replace-cross
Abstract: Textual Large Language Models (LLMs) provide a simple and familiar interface: a string of text is used for both input and output. However, the information conveyed to an LLM often has a richer …
arXiv:2603.29318v1 Announce Type: new
Abstract: Smartphone GUI agents execute tasks by operating directly on app interfaces, offering a path to broad capability without deep system integration. However, real-world smartphone use is highly personalized…
arXiv:2603.29262v1 Announce Type: new
Abstract: Grokking in modular arithmetic has established itself as the quintessential fruit fly experiment, serving as a critical domain for investigating the mechanistic origins of model generalization. Despite i…
arXiv:2603.29231v1 Announce Type: new
Abstract: Existing benchmarks measure capability — whether a model succeeds on a single attempt — but production deployments
require reliability — consistent success across repeated attempts on tasks of varyi…
arXiv:2603.29206v1 Announce Type: new
Abstract: Routing is widely used to scale large language models, from Mixture-of-Experts gating to multi-model/tool selection. A common belief is that routing to a task “expert” activates sparser internal comput…
arXiv:2603.29199v1 Announce Type: new
Abstract: The AEC-Bench is a multimodal benchmark for evaluating agentic systems on real-world tasks in the Architecture, Engineering, and Construction (AEC) domain. The benchmark covers tasks requiring drawing un…