arXiv:2609.04579v1 Announce Type: new Abstract: Grounded language-model pipelines can be divided into three stages: selecting an object, retrieving…
La Agente \’Optima: Towards Agentic Self-Driving Laboratories
arXiv:2609.04564v1 Announce Type: new Abstract: Self-driving laboratories (SDLs) combine automated experimentation with adaptive decision-making to…
$\tau^\tau$-Bench: An Environment for End-To-End, Realistic Agent Construction
arXiv:2609.04611v1 Announce Type: new Abstract: LLM agents are rapidly becoming production software, deployed to handle customer service, adjudicate…
AI News Brief Hourly Summary 2026-09-07 08h : 12 posts
12 posts published in the last hour 05:32MaxKernel: Agentic Kernel Generation for TPUs 05:32Data-Driven Discovery of Composition-Dependent Constitutive Models for Hyperelasticity and Viscoelasticity of Digital Materials 05:32IPGeoAI: Transformer-Based Geolocation with LLM Semantic Fusion 05:32From Answers to Interpretations: Rethinking Ambiguity-Induced Aleatoric…
MaxKernel: Agentic Kernel Generation for TPUs
arXiv:2609.04523v1 Announce Type: new Abstract: Designing and authoring high-performance custom kernels for accelerators is a complex task that requires…
Data-Driven Discovery of Composition-Dependent Constitutive Models for Hyperelasticity and Viscoelasticity of Digital Materials
arXiv:2609.04541v1 Announce Type: new Abstract: Digital materials fabricated by multi-material 3D printing are designed as controlled mixtures of stiff…
IPGeoAI: Transformer-Based Geolocation with LLM Semantic Fusion
arXiv:2609.04559v1 Announce Type: new Abstract: Accurate city-level IP Geolocation is an important enabler for the modern digital ecosystem, underpinning…
From Answers to Interpretations: Rethinking Ambiguity-Induced Aleatoric Uncertainty Estimation in LLMs
arXiv:2609.04543v1 Announce Type: new Abstract: A key challenge in reliable LLM deployment is recognizing when uncertainty reflects irreducible…
Towards a universal language of concepts: A survey
arXiv:2609.04528v1 Announce Type: new Abstract: Humans can learn and generalize novel concepts from sparse data because they express knowledge in rich…
Rethinking Indirect Prompt Injection as a Test-Time Search Problem
arXiv:2609.04495v1 Announce Type: new Abstract: We formulate indirect prompt injection as a test-time search over a task-dependent attack surface induced…
What Does Multi-Harness RL Learn? Credit Assignment and Portability in Coding Agents
arXiv:2609.04518v1 Announce Type: new Abstract: Agent reinforcement learning (RL) increasingly runs through full execution harnesses, and a multi-harness…
When Quantization Breaks Memory: Recurrent-State Write-Back in Low-Precision Temporal Inference
arXiv:2609.04490v1 Announce Type: new Abstract: Quantization is widely used to reduce the computational and memory demands of neural-network inference. In…
BioSync: Transformer-Based Cross-Modal Fusion for a Multimodal Physiological Digital Biomarker
arXiv:2609.04504v1 Announce Type: new Abstract: Cardiac, neural, behavioral, and speech measurements from wearable and mobile devices provide partial,…
IFM Releases K2 Horizon: Six Apache 2.0 Models From 0.9B to 375B
Most open model launches release one checkpoint and a benchmark table. The Institute of Foundation Models (IFM) released something wider last week. IFM is…
ResLearn-XR: Residual Learning for Network Traffic and Quality-of-Experience-Aware Modeling in Extended Reality
arXiv:2609.04493v1 Announce Type: new Abstract: We present ResLearn-XR, a residual learning framework for predicting eXtended Reality (XR) network traffic…
AI News Brief Hourly Summary 2026-09-07 07h : 10 posts
10 posts published in the last hour 04:32A Removal Based Approach to Improve LLM Faithfulness at Test-Time 04:32Corporate Language Model (CLM): Transforming Tacit and Fragmented Enterprise Knowledge into a Sovereign, Auditable, and Executable Corporate Intelligence Layer 04:32Why Better Models Can…
A Removal Based Approach to Improve LLM Faithfulness at Test-Time
arXiv:2609.04343v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used for consequential decisions, making their explanations…
Corporate Language Model (CLM): Transforming Tacit and Fragmented Enterprise Knowledge into a Sovereign, Auditable, and Executable Corporate Intelligence Layer
arXiv:2609.04377v1 Announce Type: new Abstract: Enterprise AI deployments fail not from model inadequacy, but because organizations lack a structured…