arXiv:2608.20661v1 Announce Type: new Abstract: Enterprise adoption of large language models in finance is constrained less by fluency than by trust: in…
Author: script
Difficulty-Aware Semantic-ID Optimization for Generative Recommendation
arXiv:2608.20611v1 Announce Type: new Abstract: Semantic-ID-based generative recommendation casts retrieval and ranking as autoregressive generation over…
Open-Weight Masked Introspection: Measuring What Language Models Can Report About Their Own Computation
arXiv:2608.20569v1 Announce Type: new Abstract: Are frontier models able to introspect about their internal states? Recent work suggests that under…
Evaluating Skills, Not Just Agents: Agentic Continuous Evaluation of Skills
arXiv:2608.20614v1 Announce Type: new Abstract: Enterprise agent programs are moving from prototypes into production, where reusable skills, tools, and…
FlavourBench: Ranking Frontier Language Models with Executable Culinary Ground Truth
arXiv:2608.20574v1 Announce Type: new Abstract: Open-ended language-model benchmarks usually inherit a judge: a human preference panel, another model, or…
Dual-Cache Latent Space Communication between Heterogeneous Language Models
arXiv:2608.20617v1 Announce Type: new Abstract: Multi-agent LLM systems split work across models, so answering often requires knowledge that sits in…
AI News Brief Hourly Summary 2026-08-24 08h : 10 posts
10 posts published in the last hour 05:32A Temporal Planning Approach for Intelligent Flood Response 05:32Consilience: Conformally Calibrated Communication Control for Hidden-Profile Multi-Agent Reasoning 05:32FL-MAESTRO: Multi-Agent LLM Orchestration for Resource-Constrained Federated Learning 05:32Volumetric Radiology AI in the Era of Multimodal…
A Temporal Planning Approach for Intelligent Flood Response
arXiv:2608.20510v1 Announce Type: new Abstract: Effective response to multiple, simultaneously flooded areas requires coordinating appropriate actions in…
Consilience: Conformally Calibrated Communication Control for Hidden-Profile Multi-Agent Reasoning
arXiv:2608.20564v1 Announce Type: new Abstract: Multi-agent LLM systems can improve reasoning by pooling diverse perspectives, but their effectiveness…
FL-MAESTRO: Multi-Agent LLM Orchestration for Resource-Constrained Federated Learning
arXiv:2608.20518v1 Announce Type: new Abstract: In Federated Learning (FL), the communication topology is a runtime variable rather than a fixed design…