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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

Mira-Scene: Pixel-Aligned Layouts for Generative 3D Scene Reconstruction

Single-image 3D object generation can now produce high-fidelity assets, yet accurately placing them into a coherent scene layout remains an open challenge. A central difficulty lies in how object layout is represented. Holistic methods absorb placement into a scene-level…

arXiv

Sep 20

From Web(logs) to Web(AI): Questions, Platforms, and Methods across Twenty Editions of ICWSM

Over twenty editions, the ICWSM community has examined social life online as platforms, interactions, and research methods have changed. What can this body of research tell us at this critical juncture, as AI increasingly reshapes how people communicate online? We analyzed…

arXiv

Sep 20

Total Cost of Agency: Exact Attribution of Memory Injection Cost in Multi-Agent LLM Workflows

Every node in a multi-agent large language model (LLM) workflow retrieves context from memory and injects it into its prompt, where those injected tokens are billed as input tokens at the same per-token price as the system prompt and the user query. Production observability…

arXiv

Sep 20

Belted Engression: Sufficient Dimension Reduction for Generative Distributional Regression

Modern conditional generative models face significant challenges when learning complex covariate dependencies. While sufficient dimension reduction (SDR) provides a principled approach to compress these dependencies, traditional SDR frameworks were not formulated for…

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