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msn.com · Nov 4

Anthropic introduces FlashProve, a new open-source tool to verify AI models

Anthropic's FlashProve is a new open-source tool that proves which AI generated your response while keeping the company's code safe.

Pulse

Top picks this weekarXiv

arXiv

Nov 3

Nearly Linear-Time Follow-the-Perturbed-Leader for Weakly Observable Graph Bandits

We study online learning with directed weakly observable feedback graphs and propose a Follow-the-Perturbed-Leader (FTPL) policy that achieves best-of-both-worlds guarantee with nearly linear expected time complexity. To preserve the simple structure of FTPL, we develop a novel graph-based loss estimator that combines forced exploration, conditional geometric resampling and adaptive learning rates with surrogate probabilities. Our policy achieves $\tilde{\mathcal{O}}(δ_*^{1/3} T^{2/3})$ regret for adversarial regimes as well as $\tilde{\mathcal{O}}(δ_* \log T / Δ_{\min}^2)$ regret for stochastic regimes, where $δ_*$ and $Δ$, respectively, denote the fractional weak domination number and the suboptimality gap. These results show that refined guarantees for problems with minimax regret of $Θ(T^{2/3})$ can be obtained through appropriately designed adaptive learning rates and loss estimators without sacrificing the simplicity of FTPL.

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arXiv

Sep 18

PRISM-BN: A Controlled Corpus and Benchmark for Text-to-Parameterized Bayesian Network Extraction

Probabilistic Graphical Models (PGMs), especially Bayesian Networks (BNs), expose directed structure and probabilistic parameters, making them natural symbolic targets for neurosymbolic AI. Yet training text-to-parameterized-BN systems requires paired text-to-BN resources…

arXiv

Sep 18

Accelerating Dense LLMs via L0-regularized Mixture-of-Experts

Large language models (LLMs) achieve strong performance but suffer from slow and costly inference. Existing acceleration methods often lead to noticeable performance degradation, while Mixture-of-Experts (MoE) models require extensive computational resources. In this paper, we…

arXiv

Sep 18

From Code Archival to Knowledge Graph: Bridging Software Heritage, COAR Notify and Wikidata

Software is a first-class scientific object, yet validated links between source code and the scholarly record remain largely absent from the Linked Open Data (LOD) cloud, isolating archived artefacts from semantic discovery. This paper presents an end-to-end reconciliation…

arXiv

Sep 18

Samsone: A Family of Open Small Audio Language Models for On-Device Inference

The success of Large Audio Language Models has driven the development of massive multimodal networks exceeding billions of parameters. However, the demand for privacy-preserving, low-latency processing has shifted focus toward Small Audio Language Models (SALMs) capable of…

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Today's trail

Anthropic introduces FlashProve, a new open-source tool to verify AI models

Pulse

Nearly Linear-Time Follow-the-Perturbed-Leader for Weakly Observable Graph Bandits

wangzan101/Mika

Patrick Stewart has died

IndiaAI Mission Releases 3 Indigenous AI Models Developed by Soket, ZenteiQ

Top picks

PRISM-BN: A Controlled Corpus and Benchmark for Text-to-Parameterized Bayesian Network Extraction

Accelerating Dense LLMs via L0-regularized Mixture-of-Experts

From Code Archival to Knowledge Graph: Bridging Software Heritage, COAR Notify and Wikidata

Samsone: A Family of Open Small Audio Language Models for On-Device Inference

Today's trail

Rising tools

Anthropic introduces FlashProve, a new open-source tool to verify AI models

Nearly Linear-Time Follow-the-Perturbed-Leader for Weakly Observable Graph Bandits

wangzan101/Mika

Patrick Stewart has died

IndiaAI Mission Releases 3 Indigenous AI Models Developed by Soket, ZenteiQ

speridlabs/idol

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This week in Multimodal

PRISM-BN: A Controlled Corpus and Benchmark for Text-to-Parameterized Bayesian Network Extraction

Accelerating Dense LLMs via L0-regularized Mixture-of-Experts

From Code Archival to Knowledge Graph: Bridging Software Heritage, COAR Notify and Wikidata

Samsone: A Family of Open Small Audio Language Models for On-Device Inference