AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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4,009 papers
This work proposes MeanFlow-Transfer, which maps heterogeneous source outputs into a shared velocity representation, uses it to initialize an MF generator from the source weights, and optimizes an MF objective on the target domain, and introduces Continuous Adversarial MeanFlow, a post-training stage that extends conti...
An Evaluation Agent, middleware that combines Natural Language Inference factual verification, a five-signal poison detector with relevance-weighted aggregation, and a Trust Index is proposed, which reliably blocks instruction injection of unsafe advice while contradiction and subtle semantic weakening remain hard.
ReToken is a single learnable embedding trained as an explicit retrieval target that selects a sparse set of query-relevant visual tokens from a pre-filled visual KV cache that yields consistent gains across image and video benchmarks.
This work proposes REST (Reward-Enhanced Scored-Trajectory Distillation), a single-stage RL-distillation co-training framework that attaches a decoupled student to an arbitrary RL teacher that enables few-step CFG-free inference that matches or surpasses its 40-step RL teacher, with an overall additional training cost...
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It is indicated that current VLMs can identify anomalies within individual frames but struggle to integrate information across frames to reason about temporal consistency, and TimeCatch provides a controlled benchmark for evaluating temporal grounding in vision-language models.
An Implicit Cultural Alignment Reward Model built upon a lightweight 4.2-billion-parameter Multimodal Large Language Model (MLLM) integrated with a Skip-connection Cross-Attention mechanism, enabling late-stage semantic features to directly attend to early-stage visual representations and better preserve culturally sal...
A novel framework for single-shot shape and pose estimation of unknown spacecraft objects using only a single image and reconstructed geometry is proposed, demonstrating strong generalization to unseen spacecraft.
Experiments show that HVA establishes a new Pareto frontier for training-free sparse attention in video diffusion, reducing end-to-end latency by up to $2.13\times while improving fidelity over existing training-free sparse attention baselines.
The method sets a new state of the art in 4D reconstruction and seamlessly generalizes to in-the-wild videos with large viewpoint changes and dynamic motions, improving both novel-view synthesis and the underlying 3D motion.
This work proposes to decouple the frequencies of memory updates and Memory Caching, and introduces two critical mechanisms: an auxiliary Memory Loss that forces persistent internalization of the scene, and a Memory Caching strategy that regularizes active weights against catastrophic drift.
This paper provides a formal definition of Causal WMs (CWMs) grounded in the tasks they are intended to support, connecting existing work in causal representation learning, object-centric learning, causal discovery, structural causal models, and model-based decision-making.
BATON improves task success by 11.6% and cumulative success by 14.9% over the SoTA and improves task success by 11.6% over the RoboMemArena on the long-horizon benchmark RoboMemArena.
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
GPT-Lab
· gpt-lab.eu
Oct 8, 2026
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
A Blog post by H company on Hugging Face
A Blog post by Liquid AI on Hugging Face
Computer scientist, entrepreneur, and philanthropist will collaborate with the MIT Schwarzman College of Computing to advance AI and scientific discovery.
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