arXiv:2608.21677v1 Announce Type: cross Abstract: Recent mesh-based simulation advances have, in no small part, relied on neural surrogates of two…
Build an End-to-End Data Science Project with Grok Build and Grok 4.6
Use Grok Build to create a production-ready data science workflow with EDA, scikit-learn, model training, FastAPI, API testing, and cloud deployment.
Scalable quantum simulation of continuous-time generative models via tensor networks
arXiv:2608.21700v1 Announce Type: cross Abstract: Continuous-time flow and diffusion models are widely used across many application domains, from…
Automating Multi-Hop RAG Evaluation via TRIAD: From Context Extraction to Validated Dataset Generation
arXiv:2608.21558v1 Announce Type: cross Abstract: Recent advances in LLMs and the adoption of RAG systems in industry have created a need for…
Anchoring Bias: A Persistent Fairness Backdoor Attack against MLLMs under Continual Learning
arXiv:2608.21577v1 Announce Type: cross Abstract: Multimodal Large Language Models (MLLMs) are increasingly deployed in high-stakes domains where fairness…
Power-Performance Characterization of TinyML Systems
arXiv:2608.21646v1 Announce Type: cross Abstract: TinyML systems are enabling machine learning (ML) inference at the edge. However, there is little…
Why This, Not That? Mining User Profiles for Pair-wise Counterfactuals
arXiv:2608.21662v1 Announce Type: cross Abstract: The topic of explanation in recommender systems has seen steady research attention since the earliest…
Liquid AI Open-Sources Pipette: A Reproducible Benchmarking Suite That Measures On-Device Models, Quantization, Runtime and Hardware Together
Model cards report quality under server-class, full-precision conditions. Those numbers rarely predict how the same model behaves on a phone. This week,…
Forgotten in Weights, Recovered by Tools: Agentic Tool Unlearning for LLM Agents
arXiv:2608.21544v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly deployed as tool-augmented agents, where responses can…
AI News Brief Hourly Summary 2026-08-26 02h : 11 posts
11 posts published in the last hour 23:32Selection of Heart Sound Segments for Synchronous Classification of Multi-channel Heart Sounds 23:32SecOPD: Mitigating Adaptive Prompt Injections by On-Policy Distillation 23:32TASSO: TAsk-Specific Subspace Optimization for Continual Learning of Vision-Language Models 23:32KAN-Robust-Bench: A Benchmark…
Selection of Heart Sound Segments for Synchronous Classification of Multi-channel Heart Sounds
arXiv:2608.21499v1 Announce Type: cross Abstract: Cardiac auscultation remains the most cost-effective screening procedure for cardiovascular diseases,…
SecOPD: Mitigating Adaptive Prompt Injections by On-Policy Distillation
arXiv:2608.21500v1 Announce Type: cross Abstract: Prompt injection is listed as the \#1 threat to AI agents. When an agent accesses external data from…
TASSO: TAsk-Specific Subspace Optimization for Continual Learning of Vision-Language Models
arXiv:2608.21487v1 Announce Type: cross Abstract: Vision-Language Models (VLMs) exhibit strong zero-shot capabilities, making them an attractive solution…
KAN-Robust-Bench: A Benchmark for Evaluating the Robustness of Kolmogorov-Arnold Networks
arXiv:2608.21488v1 Announce Type: cross Abstract: While machine learning models have demonstrated strong performance in many domains, these models have…
presto: Efficient, Training-free, and Open-world Object Placement via Imaginary Search
arXiv:2608.21543v1 Announce Type: cross Abstract: Object placement is critical in image composition, requiring spatially and semantically coherent…
Reliability- and Anatomy-Consistency-Aware Multimodal Learning for Robust Fracture Classification from Bangladeshi Radiographs
arXiv:2608.21482v1 Announce Type: cross Abstract: Background: Multimodal fracture classifiers may benefit from patient and anatomical metadata, but they…
FigmaTrace: Capturing Creative Nuances in Human Figma Design Workflows
arXiv:2608.21460v1 Announce Type: cross Abstract: Vision Language Models have recently shown improvements in several objective and verifiable domains such…
Complexity Induction: Compositional Generalization via Structured Label Distortion
arXiv:2608.21464v1 Announce Type: cross Abstract: We demonstrate that structured distortion of training data – which we term complexity induction – can…