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AIarXiv cs.AI

Guiding LLM Post-training Data Engineering with Model Internals from Sparse Autoencoders

Model internals encode rich information about how a large language model (LLM) processes its training data; however, post-training data engineering largely relies on external signals and ignores rich intrinsic signals lying in model internals. We propose SAERL, a data engineering framework for LLM reinforcement lear...

AIarXiv cs.LG

From Scores to Gibbs Correctors: Accelerating Uniform-Rate Discrete Diffusion Models

Discrete diffusion models have achieved strong empirical performance in text and other symbolic domains, but, especially for uniform-rate models, they often require many steps to generate a single sample. Existing acceleration methods either rely on training additional quantities or suffer from slow mixing. In this...

AIarXiv cs.LG

Towards Controllable Image Generation through Representation-Conditioned Diffusion Models

Diffusion models have emerged as powerful tools for high-quality image generation and editing, but guiding these models to produce specific outputs remains a challenge. Conventional approaches rely on conditioning mechanisms, such as text prompts or semantic maps, which require extensively annotated datasets. In thi...

AIarXiv cs.AI

2-ASP(Q) programs with weak constraints: Complexity and efficient implementation

ASP(Q) extends Answer Set Programming (ASP) with Quantifiers over answer sets. In this paper we focus on the class of ASP(Q) programs with two quantifiers and weak constraints, denoted as 2-ASP(Q)^w. 2-ASP(Q)^w is a practically relevant fragment of ASP(Q) that is expressive enough to capture optimization problems up...

AIarXiv cs.LG

Probabilistic Smoothing with Ratio-Monotone Transforms for Global Optimization

Probabilistic smoothing is a standard tool for global optimization, but existing methods rely on Gaussian kernels and specific transforms, often resulting in strong hyperparameter sensitivity and limited robustness. We propose a general smoothing framework that combines flexible symmetric unimodal kernels with monot...

AIarXiv cs.LG

Greening AI Inference with Accuracy and Latency-aware User Incentives

The widespread use of AI services has raised concerns for its environmental sustainability, towards which recent studies have identified carbon emissions of AI inference as the major contributor. This paper introduces a framework for designing AI inference incentives based on the users' valuation for inference quali...

AIarXiv cs.LG

Normal Guidance is what Attention Needs

We consider training classifiers for 3D medical images using only one binary label for the entire volume rather than a label for each 2D slice. In such weakly supervised settings, can we learn accurate classifiers for slice-level predictions? Attention-based multiple instance learning (MIL) can produce an attention...

SemiconductorSemiWiki

CEVA Accelerates Wireless Edge Innovation with Bluetooth HDT and Integrated RF Design Win

CEVA, the leading licensor of wireless connectivity and smart sensing technologies, is advancing its full-stack wireless strategy with the introduction of next-generation Bluetooth High Data Throughput (HDT) capabilities and a major integrated RF subsystem design win. The announcement underscores CEVA’s growing role...

Open SourceNext.js GitHub

v16.3.0-canary.29

Misc Changes Replace next-ppr-optimizer with next-cache-components-optimizer: #94035 [Skills] next-dev-loop: persist login state across loops: #94105 Fix errors.json merge driver to handle gaps in error codes: #93829 Credits Huge thanks to @gaojude and @sokra for helping!

Software EngineeringCloudflare Developer Platform Changelog

Flagship - Flagship now in public beta

Flagship is now in public beta. Evaluate feature flags directly from Cloudflare Workers with no outbound HTTP calls, using globally distributed flag configuration backed by Workers KV and Durable Objects. Flagship supports typed flag values, targeting rules, percentage rollouts, audit history, and OpenFeature-compat...

SemiconductorEE Times

Realising the Benefits of Quality Inspection Reports

However much you prototype and test your product designs, there will always be factors outside your direct control that have significant implications for the manufacturability, efficiency, reliability and expected lifespan of your final product. One of the most important of these is the quality of the PCBs you recei...

Open SourceNext.js GitHub

v16.3.0-canary.28

Misc Changes [Skills] Mark backport-pr and create-pr as internal: #94076 Credits Huge thanks to @gaojude for helping!

Open SourceNext.js GitHub

v16.3.0-canary.27

Misc Changes Add next-dev-loop and next-ppr-optimizer skills: #93943 test: migrate webdriver callers to next.browser: #93941 Revert "Include PPR routes in dynamicRoutes regardless of revalidate time": #94032 Fix pr-status job pagination: #94049 Prerender static metadata under dynamic segments to canonical pathname:...

Open SourceNext.js GitHub

v16.3.0-canary.26

Misc Changes [ci] Add an TURBOTASKSAVAILABLEPARALLELISM environment variable that overrides std::thread::availableparallelism callsites: #93995 Make --debug-build-paths work with src/ directory projects: #94016 ci: run Linux Playwright jobs in prebuilt Microsoft container: #93794 Revert "Prerender HTTP access fallba...

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