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19,709 papers
A five-candidate short list contains a deployment within 12% of the best feasible pairing of model and latency target, and a five-candidate short list contains a deployment within 12% of the best feasible pairing of model and latency target.
AdaIE, a parameter-free mechanism that reweights pretrained representations according to the evolving downstream sensitivity during training, is introduced, highlighting interface co-adaptation as an important optimization problem when coupling pretrained representations with downstream models.
WASP-Mem (Wiki-based Agent-Synthesized Procedural Memory), a nimble but effective method that distills execution traces and feedback into persistent, interlinked wiki pages, enabling continual agent learning is introduced.
OLIVIA, a protocol for point-in-time inputs with company identities masked, selection on validation data only, an analysis plan frozen by cryptographic hash, and a test period unblinded once through a logged lock is proposed.
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FITTER, a multi-agent framework that integrates clinical and wearable data with condition-specific guidance to generate personalized FITT-VP prescriptions and applies deterministic safety audit and repair to correct rule-checkable violations, is developed.
Across six LLMs, committed personas are intrinsically stable: in each of the five models tested without peer input, every agent keeps its assigned side for 20 rounds, making the LLM choice a first-class validity variable for social simulation.
This work proposes Human-AI-Human collaboration: an interaction topology in which AI connects researchers' contextss and supports inspectable collective evaluation and decision-making, prioritizing shared context and team-visible evaluation checkpoints for controlled follow-up.
A public, versioned Conditional Memory Utility Dataset of paired measurements and costs is provided to evaluate memory compression by the task utility it preserves alongside its costs.
ProofPaths, an AI agentic framework that combines rubric-based grading with individualized and interactive interviews, is introduced, an AI agentic framework that combines rubric-based grading with individualized and interactive interviews.
It is conjecture that reliably acquiring and maintaining interventional competence when causal commitments fail requires autonomous participation in proposing alternatives, testing their consequences, and revising them in response to error.
This work developed and compared an RPA solution (Playwright) and an APA solution (browser-use, LangGraph and Gemini 2.5 Flash-lite) to retrieve mammography and breast ultrasound reports from a laboratory portal, treating reports solely as informational artifacts, and found RPA was superior for a stable interface.
LaplaceDiag is introduced, a data-driven method that uses changes in actuator effects to narrow the search for faulty equipment by separating nonlinear prediction based on measured history from an explicit matrix that describes how actuator values affect sensor values.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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