Manually tagging thousands of catalog products is slow and inconsistent. This walkthrough shows how to customize Qwen3-8B with supervised fine-tuning…
FADE: Mitigating Hallucinations by Reducing Language-Prior Dominance in Large Vision-Language Models
arXiv:2606.29431v5 Announce Type: replace Abstract: Despite the impressive capabilities of Large Vision-Language Models (LVLMs), they remain susceptible…
AI for everyone in every language
Animation of several words in different languages slowly zooming past
Shared Selective Persistent Memory for Agentic LLM Systems
arXiv:2607.09493v2 Announce Type: replace Abstract: Agentic LLM systems that generate code through multi-turn tool use face a fundamental context problem:…
Building AI to accelerate science and improve lives
B-roll showing diverse environments and people, including a teacher and students in a classroom and a patient with a doctor
RegNetAgents: A Multi-Agent Framework for Cross-Network Regulatory Driver Identification in Cancer Genomics
arXiv:2607.14097v2 Announce Type: replace Abstract: We introduce RegNetAgents, an AI-oriented multi-agent framework for structured, query-driven…
AI News Brief Hourly Summary 2026-09-17 03h : 16 posts
16 posts published in the last hour 00:32ANCHOR: An External LLM-Driven Supervisory Module Facilitating Healthy Evolution in Self-Evolving Systems 00:32Measuring Curriculum Alignment across Topical Coverage, Competency, and Cognitive Depth: A Longitudinal Framework Applied to CS2013 and CS2023 00:32How I’m Using…
ANCHOR: An External LLM-Driven Supervisory Module Facilitating Healthy Evolution in Self-Evolving Systems
arXiv:2606.06114v3 Announce Type: replace Abstract: Self-evolving agents improve through continual self-play and self-generated learning signals, but…
Measuring Curriculum Alignment across Topical Coverage, Competency, and Cognitive Depth: A Longitudinal Framework Applied to CS2013 and CS2023
arXiv:2606.19469v2 Announce Type: replace Abstract: Undergraduate computer science is governed by international curricular guidelines revised about once a…
How I’m Using Google Opal for Even More AI Automations
Opal is Google Labs’ no-code tool for turning natural language into working AI mini-apps, built on top of an internal framework called Breadboard. Here’s…
Shielded Analysis: Certification and Characterization of Defensibility in Systems under Adversarial Interaction
arXiv:2606.13621v2 Announce Type: replace Abstract: Formal safety analysis determines whether a system admits a safe defense; adaptive evaluation…
Your Agent Aced the Task. Will It Do It Again?
This post has no text preview — click the link below to read the original article. This article has been indexed from Hugging Face – Blog Read the original article: Your Agent Aced the Task. Will It Do It Again?
Superficial Beliefs in LLM Decision-Making
arXiv:2606.11016v2 Announce Type: replace Abstract: We ask whether large language models (LLMs) merely imitate rationales when choosing between two…
Announcing instance preference lists for Amazon SageMaker AI training jobs
Amazon SageMaker AI now offers instance preference lists for training and processing jobs. Specify an ordered list of up to five instance types, and…
Rhythm of the Deep: Two-tier acoustic organization of sperm-whale codas from click waveforms to second-order sequence dependence
arXiv:2606.16084v3 Announce Type: replace Abstract: Sperm-whale codas are conventionally characterized by click count and inter-click intervals (ICIs),…
How Clinicians Think and What AI Can Learn From It
arXiv:2601.12547v2 Announce Type: replace Abstract: Clinical artificial intelligence increasingly builds high-dimensional representations of patients, yet…
Same Answer, Different Representations: Hidden instability in VLMs
arXiv:2602.06652v2 Announce Type: replace Abstract: The robustness of Vision Language Models (VLMs) is commonly assessed through output-level invariance,…
FactorEngine: A Program-level Knowledge-Infused Factor Mining Framework for Quantitative Investment
arXiv:2603.16365v3 Announce Type: replace Abstract: We study alpha factor mining, the automated discovery of predictive signals from noisy, non-stationary…