ReferClaw: Disambiguating User Intent for Egocentric Assistance
arXiv:2611.07683v1 Announce Type: cross Abstract: Users of egocentric AI assistants often ask short, ambiguous questions whose intended referents cannot be uniq…
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arXiv:2611.07683v1 Announce Type: cross Abstract: Users of egocentric AI assistants often ask short, ambiguous questions whose intended referents cannot be uniq…
arXiv:2611.07618v1 Announce Type: cross Abstract: This paper proposes a bilevel particle swarm optimization (PSO)-neurodynamic method for solving the distribute…
arXiv:2611.07483v1 Announce Type: cross Abstract: Enterprise AI agents increasingly split a user's request across subagents and merge their results, and each ha…
arXiv:2611.07461v1 Announce Type: cross Abstract: How can an agent handle a real-world task end to end? Frontier models with their own harnesses still fall shor…
arXiv:2611.07122v1 Announce Type: cross Abstract: Profit-maximizing Autonomous Mobility-on-Demand (AMoD) operators may exploit consumer surplus through excessiv…
arXiv:2611.07089v1 Announce Type: cross Abstract: We give a deterministic polynomial-time algorithm for computing an exact extensive-form proper equilibrium in …
arXiv:2611.07066v1 Announce Type: cross Abstract: Discovering cooperative behavior in multi-agent reinforcement learning (MARL) is challenging due to the combin…
arXiv:2611.08312v1 Announce Type: new Abstract: Personal AI agents often act on underspecified instructions and draw on context such as their user's messages an…
arXiv:2611.07377v1 Announce Type: new Abstract: Generative video models have made video creation more accessible, yet creators still struggle to translate high-…
arXiv:2611.07374v1 Announce Type: new Abstract: Driven by the rapid development of the low-altitude economy, Uncrewed Aerial Vehicle (UAV) networks have become …
arXiv:2611.07140v1 Announce Type: new Abstract: Teams increasingly build software from cooperating large language model (LLM) agents, often assuming more agents…
arXiv:2611.07050v1 Announce Type: new Abstract: Delegated Agent2Agent (A2A) workflows create a security problem when the agent sending a request is different fr…
arXiv:2611.04612v2 Announce Type: replace-cross Abstract: Distributed statistical learning has recently attracted significant attention owing to its computation…
arXiv:2609.30565v2 Announce Type: replace-cross Abstract: Many real-world high-dimensional time series exhibit long-memory, but Gaussian graphical model testing…
arXiv:2609.20260v2 Announce Type: replace-cross Abstract: We comment on the optimally-transported generalized method of moments (OTGMM) of Schennach and Starck …
arXiv:2608.22608v2 Announce Type: replace-cross Abstract: During clinical trials evaluating a drug's effect on a survival endpoint, intermediate events often oc…
arXiv:2605.10842v3 Announce Type: replace-cross Abstract: We construct moment functions that are Neyman-orthogonal to a chosen order in moment-condition models …
arXiv:2605.09214v2 Announce Type: replace-cross Abstract: \emph{Kullback-Leibler} (KL) regularization is ubiquitous in reinforcement learning algorithms in the …
arXiv:2604.26942v2 Announce Type: replace-cross Abstract: We introduce Hyper Input Convex Neural Networks (HyCNNs), a novel neural network architecture designed…
arXiv:2511.03087v3 Announce Type: replace-cross Abstract: Generalized linear models (GLMs) are fundamental tools for statistical modeling, with maximum likeliho…