arXiv:2609.01775v1 Announce Type: cross Abstract: Automated repair of Hardware Description Language (HDL) designs remains challenging due to the large…
hLLM: Single Pass Decoding for Generative Reranking
arXiv:2609.01807v1 Announce Type: cross Abstract: Large language models (LLMs) achieve state-of-the-art generative ranking quality, but the ranking they…
VakyArth: Evaluating Pragmatic Competence in LLMs across Indic Languages
arXiv:2609.01788v1 Announce Type: cross Abstract: Real-world communication often requires pragmatic reasoning: interpreting meanings implied through…
Keeping PHI Secure in Untethered Employee Benefits Platforms
The integration of artificial intelligence into HR and employee benefits administration has fundamentally changed how healthcare benefits are managed and…
Swin Meets EfficientNet: Lightweight Architectures for GAN-Based Face Forensics
arXiv:2609.01749v1 Announce Type: cross Abstract: Modern generative models, such as GANs, diffusion architectures, and autoregressive systems, now produce…
RecKAN: Kolmogorov-Arnold Networks with a Learnable Recursive Polynomial Basis
arXiv:2609.01729v1 Announce Type: cross Abstract: Kolmogorov–Arnold Networks (KANs) replace the fixed scalar weights of a standard network with learnable…
HEAT: Faster Fully Homomorphic Inference via Approximations-Weights Co-Adaptation
arXiv:2609.01730v1 Announce Type: cross Abstract: Fully homomorphic encryption (FHE) allows a server to run a language model directly on encrypted user…
How law firm Gilbert + Tobin governs and scales AI with OpenAI
See how Gilbert + Tobin combines CEO-led commitment, rigorous governance, and human accountability to scale ChatGPT Enterprise and Codex across the firm.
CliffRank: A Dual-Branch Framework for Activity-Cliff Ranking Prediction
arXiv:2609.01673v1 Announce Type: cross Abstract: Activity-cliff ranking remains difficult because local structural changes can cause large activity…
Give Your Coding Agents a Memory You Own
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Public-Sharing Labels and Verbatim Field Egress in an MCP-to-A2A Agent Configuration: A Controlled Multi-Model Study
arXiv:2609.01693v1 Announce Type: cross Abstract: Safety properties assessed separately for Model Context Protocol (MCP) tool use and Agent2Agent (A2A)…
Cango’s EcoHash Begins Commercial GPU Compute at Georgia AI Facility
Cango Inc. said its high-performance computing and AI inference subsidiary, EcoHash Technology LLC, completed dedicated AI infrastructure modifications at…
Harness Engineering in LLM Tool Use via Agent-Native Reusable Tool Primitives
arXiv:2609.01736v1 Announce Type: cross Abstract: Large language models (LLMs) augmented with external tools have demonstrated remarkable capability in…
AI News Brief Hourly Summary 2026-09-03 13h : 14 posts
14 posts published in the last hour 10:33NeoMME: A Single-Tower Multimodal-Native Multilingual Foundation Encoder for Efficient Fine-Tuning and Inference 10:33Ranked by the Matcher: A Reproducibility Audit of Knowledge Graph Extraction from Threat Reports 10:33How Fast Do Agents Rot? An Empirical…
NeoMME: A Single-Tower Multimodal-Native Multilingual Foundation Encoder for Efficient Fine-Tuning and Inference
arXiv:2609.01657v1 Announce Type: cross Abstract: Multimodal models often build on architectures designed for generative vision-language modeling,…
Ranked by the Matcher: A Reproducibility Audit of Knowledge Graph Extraction from Threat Reports
arXiv:2609.01671v1 Announce Type: cross Abstract: Security teams and researchers choose knowledge-graph extraction tooling for threat reports on the…
How Fast Do Agents Rot? An Empirical Study of Long-Horizon Degradation in LLM Agents for Production Decision-Making
arXiv:2609.01660v1 Announce Type: cross Abstract: Production deployments of large language model (LLM) agents remain unreliable on long, multi-step…
PRO-Step: Step-level Process Reward Optimization for Retrieval-Augmented Generation
arXiv:2609.01658v1 Announce Type: cross Abstract: Retrieval-Augmented Generation enhances Large Language Models by grounding responses in external…