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Pulse · xda-developers.com

xda-developers.com · Oct 31

I stopped juggling Claude Code, Codex, and other coding agents after finding this open-source app

The end of my terminal tab nightmare

Pulse · salesforce.com

salesforce.com · Oct 31

I analyzed 1,133 Instagram posts with Meta’s new AI

As Salesforce’s Accelerator, Agents for Impact rolls out in India, we sat down with Nandini George, Senior Director – Sites & Business Operations and Amy Guterman, Senior Director, AI for Impact, two leaders driving this work from India and globally, to talk about what’s changed, what’s next, and why AI-powered nonprofits are just the beginning. […]

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arXiv

Oct 29

Elucidating the Design Space of LM Data Attribution

Data attribution methods for Language Models (LMs) are typically evaluated using downstream tasks like fact retrieval. However, existing evaluations vary multiple dataset properties simultaneously, making it impossible to isolate exactly why an attribution algorithm fails. To diagnose these failures, we explore the design space of LLM data attribution, with a primary focus on evaluation. We introduce the Controlled Attribution Benchmark (CATT) for fact tracing, in which we fine-tune LLMs on entirely fictitious knowledge, providing unambiguous ground truth for attribution. This synthetic setup allows us to systematically alter one dataset configuration at a time, such as document redundancy and lexical distractors. With this configurable evaluation, we demonstrate that redundancy and distractors consistently degrade attribution performance. Rather than proposing a new estimator, we examine two design choices that are underexplored: the loss used to compute gradients and how per-token attribution scores are aggregated into a document score. We find that the true causal evidence within a training document is highly localized, but standard methods dilute this evidence into noise by…

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arXiv

Sep 20

ScaleBlind: Point Cloud Completion under Unknown Scale

Point cloud completion aims to infer a complete 3D shape from a partial point cloud and serves as a fundamental building block for downstream tasks such as reconstruction, editing, and simulation. Despite the recent progress, existing learning-based methods often implicitly…

arXiv

Sep 20

Enhancing Shrimp Disease Detection via Deep Learning and Data Refinement for Resilient Aquaculture

Shrimp diseases continue to cause devastating losses in the aquaculture industry, driving a critical need for robust, automated detection. This work contributes the first application of Vision Transformers (ViT) and Self-Supervised Learning (SSL) to the shrimp farming domain,…

arXiv

Sep 20

Blind Thermodynamic Ontology Discovery from Anonymous Experiments

Before a machine learning model can learn a thermodynamic equation of state, it must discover what its measurements represent: which channels scale with system size, which are intensive conjugates, how sectors pair through contact, and which potential governs stability. When…

arXiv

Sep 20

ProxyBuild: Text-Guided Structured 3D Building Generation with Mesh-Anchored Procedural Proxies

Text-guided 3D building generation holds tremendous application potential, yet existing generative models typically output inseparable single meshes or non-interactive rendered representations. While procedural modeling can generate editable buildings with hierarchical…

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