AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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20,463 papers
A novel framework that integrates sentiment and depression analysis with a rule-based filtering mechanism prior to model inference is proposed that aims to significantly improve the contextual relevance, empathy, and risk-aware of model-generated responses.
An expert-curated benchmark of 250 questions spanning qualitative reasoning, numerical calculation, symbolic derivation, and equation formulation for inertial confinement fusion is developed, noting that domain-specific performance can improve through specialization, but benchmark gains alone do not establish scientifi...
The results suggest that the opinions of healthcare professionals toward the causes of algorithmic bias, the criteria of algorithm assessment, the perceived fairness, and bias mitigation approaches may vary depending on their job roles, perspectives, tasks, and the algorithm characteristics.
GAUSS is presented, a workload-aware analytical and Monte-Carlo simulator that predicts the full distributions of time-to-first-token (TTFT) and time-between-tokens (TBT), together with the sustainable request rate, for a given workload, engine, and accelerator.
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SkillMem is introduced, which represents each reusable skill as a small external latent memory and makes it directly available during latent multi-agent reasoning, showing that compact procedural memories can be reused without sacrificing the efficiency of latent multi-agent reasoning.
An evaluation framework is developed that distinguishes solution quality from execution failures, including numerical inaccuracies, constraint violations, and output-format errors, and demonstrates that iterative refinement substantially improves reliability and extends the range of problem dimensions over which LLMs p...
GARDEN (Generalist Autonomous Reward Design through Evidence Navigation) is proposed, in which one reward program is developed for a family of related scenarios and transferred, unchanged, to scenarios that were not available during its design.
VerifiedLab introduces a new pathway for knowledge dissemination and machine harness for AI co-scientists by scaling the inference-time verification compute and transforms research output from passive artifacts into active systems that accelerate downstream use, adoption and prediction of future trends.
SciGame, a controlled benchmark that converts scientific literature into structured scientific cards, is introduced, a controlled benchmark that evaluates agents in candidate-guided Identification and open-ended Discovery settings.
HRF-Res, a liquid state machine in which LIF neurons are replaced by a heterogeneous population of Harmonic Resonate-and-Fire neurons, achieves state-of-the-art accuracy among spiking reservoir methods and demonstrates that introducing frequency-selective dynamics into spiking reservoirs improves representational quali...
FilingLoop connects the concerns an agent discovers with the company facts it obtains and the revisions it commits, providing requirement-level feedback for procedures used in later review tasks, and couples iterative review and revision within each case with procedural learning across cases.
The results suggest that the mixed evidence in prior work may partly stem from individual-level evaluation, and that the value of socio-demographic information depends on both how it is evaluated and how models are guided to use it.
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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