arXiv:2505.01912v3 Announce Type: replace-cross Abstract: Data-driven molecular discovery leverages artificial intelligence/machine learning (AI/ML) and…
Fault tolerant distributed training on Amazon EKS using NVRx
Integrate NVIDIA Resiliency Extension (NVRx) into PyTorch FSDP training on Amazon EKS to overlap checkpoint I/O with training and recover from GPU faults…
From Alignment to Synthesis: Contrastive Volumetric Grounding for Text-to-CT Generation
arXiv:2506.00633v4 Announce Type: replace-cross Abstract: Generating semantically controllable 3D CT volumes from radiology reports requires more than a…
Limits of Transfer Learning
arXiv:2006.12694v2 Announce Type: replace-cross Abstract: Transfer learning involves taking information and insight from one problem domain and applying…
Label-Confidence-Aware Uncertainty Estimation in Natural Language Generation
arXiv:2412.07255v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) demonstrate remarkable capabilities in generative tasks but pose…
Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism
arXiv:2409.09253v2 Announce Type: replace-cross Abstract: Owing to the unprecedented capability in semantic understanding and logical reasoning, large…
Abstention vs. Hallucination: Benchmarking LLM Source Attribution for Scientific Citations
arXiv:2405.02228v5 Announce Type: replace-cross Abstract: Large language models (LLMs) increasingly generate citation-backed responses, yet citation…
Apple is reportedly building an enterprise AI server with its own M8 Ultra chips
According to The Information, Apple is working on an enterprise server with two or four M8 Ultra chips for the AI inference market, with a possible launch…
Mem2Ego: Empowering Vision-Language Models with Global-to-Ego Memory for Long-Horizon Embodied Navigation
arXiv:2502.14254v3 Announce Type: replace-cross Abstract: Recent advancements in Large Language Models (LLMs) and Vision-Language Models (VLMs) have made…
AI News Brief Hourly Summary 2026-09-18 05h : 11 posts
11 posts published in the last hour 02:32little m: An AI Agent for Industrial Process Optimization 02:32AI Persuasion as a Threat to Human Control 02:32Why LLM Agents Collapse Without Oversight: The Enforcement Gap as the Mechanism Behind Emergence World Failures…
little m: An AI Agent for Industrial Process Optimization
arXiv:2609.16680v2 Announce Type: replace Abstract: Manufacturing consumes one third of global energy and still has significant room for improvement in…
AI Persuasion as a Threat to Human Control
arXiv:2609.14796v2 Announce Type: replace Abstract: The threat that AI persuasion poses to human control has been acknowledged in the literature, but not…
Why LLM Agents Collapse Without Oversight: The Enforcement Gap as the Mechanism Behind Emergence World Failures
arXiv:2609.15293v2 Announce Type: replace Abstract: When Emergence World placed frontier LLM agents in an unsupervised multi-agent simulation, the results…
Can We Do Interpretable NLI with Graphs Based on Atomic Propositions?
arXiv:2609.16814v2 Announce Type: replace Abstract: While Large Language Model (LLM)-based Natural Language Inference (NLI) systems achieve high accuracy,…
Lightning Weave: Improving the Accuracy-Efficiency Frontier of Reasoning Models through Capability Composition
arXiv:2609.14708v2 Announce Type: replace Abstract: A core goal of efficient reasoning is to improve the accuracy-efficiency frontier. However, jointly…
SWE-Bench Pro Verified: A Reliable Benchmark for Software Engineering Agents
arXiv:2609.08149v2 Announce Type: replace Abstract: SWE-Bench Pro has emerged as a standard benchmark for evaluating software engineering agents on…
The Internal Anatomy of Strategic Choice in Large Language Models
arXiv:2609.07478v2 Announce Type: replace Abstract: Large language models act as strategic agents and models of human choice, yet choosing like a…
Safety Signals to Verify NetOps Agents with Action-Level Granularity
arXiv:2609.14422v2 Announce Type: replace Abstract: Agentic Network Operations (NetOps) are an emerging paradigm promising to enable workload-aware,…