arXiv:2608.20574v1 Announce Type: new Abstract: Open-ended language-model benchmarks usually inherit a judge: a human preference panel, another model, or…
Category: AI
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…
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…
Volumetric Radiology AI in the Era of Multimodal Large Language Models
arXiv:2608.20549v1 Announce Type: new Abstract: Advances in multimodal large language models (MLLMs) are extending radiological artificial intelligence…
Lost in Translation: How Universal Ethical Values Fail to Translate Across Global Contexts
arXiv:2608.20490v1 Announce Type: new Abstract: AI ethics frameworks treat values such as fairness, transparency, and accountability as universal and…
Who Delegates to AI? Evidence from 53,000 Agent Configurations
arXiv:2608.20425v1 Announce Type: new Abstract: A growing literature measures how far occupations are exposed to AI, but these measures capture where AI…
STCO: Conditional Neural Operators for Time-Dependent PDEs
arXiv:2608.20477v1 Announce Type: new Abstract: Neural operators have emerged as efficient surrogates for time-dependent physical systems governed by…
StateSight: Benchmarking Latent Spatial-State Reconstruction in Vision-Language Models
arXiv:2608.20414v1 Announce Type: new Abstract: Vision-language models are increasingly used for multimodal question answering, yet their ability to…