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arXiv:2603.05614v1 Announce Type: new Abstract: Realtime AI services increasingly operate across the deviceedgecloud continuum, where autonomous AI agents generate latencysensitive workloads, orchestrate multistage processing pipelines, and compete for shared resources under policy and governance...
arXiv:2603.05706v1 Announce Type: new Abstract: Chainofthought CoT monitoring is a promising tool for detecting misbehaviors and understanding the motivations of modern reasoning models. However, if models can control what they verbalize in their CoT, it could undermine CoT monitorability.
arXiv:2603.05860v1 Announce Type: new Abstract: Clinical image interpretation is inherently multistep and toolcentric: clinicians iteratively combine visual evidence with patient context, quantify findings, and refine their decisions through a sequence of specialized procedures.
arXiv:2603.05910v1 Announce Type: new Abstract: LLMpowered agents fulfill user requests by interacting with environments, querying data, and invoking tools in a multiturn process.
arXiv:2603.05912v1 Announce Type: new Abstract: Searchaugmented LLM agents can produce deep research reports DRRs, but verifying claimlevel factuality remains challenging.
arXiv:2603.05980v1 Announce Type: new Abstract: Product concept evaluation is a critical stage that determines strategic resource allocation and project success in enterprises. However, traditional expertled approaches face limitations such as subjective bias and high time and cost requirements.
arXiv:2603.06064v1 Announce Type: new Abstract: Task planning, the problem of sequencing actions to reach a goal from an initial state, is a core capability requirement for autonomous robotic systems.
arXiv:2603.06067v1 Announce Type: new Abstract: Formal argumentation is being used increasingly in artificial intelligence as an effective and understandable way to model potentially conflicting pieces of information, called arguments, and identify socalled acceptable arguments depending on a...
arXiv:2603.06082v1 Announce Type: new Abstract: Recent advances in deep learning inspired neural networkbased approaches to computational materials discovery CMD. A plethora of problems in this field involve finding materials that optimize a target property.
Ulysses Sequence Parallelism: Training with Million-Token Contexts
LeRobot v0.5.0: Scaling Every Dimension
On the latest episode of TechCrunch’s Equity podcast, we discussed what the controversy means for other startups seeking to work with the federal government.