Security firm PromptArmor shows how hidden instructions in a PDF can hijack Atlassian’s AI agent Rovo, silently forwarding sensitive data from Jira and…
PTQ4SNN: Membrane-Aware Post-Training Quantization for Spiking Neural Networks
arXiv:2608.07066v1 Announce Type: new Abstract: Spiking neural networks (SNNs) enable sparse and event-driven computation, but their low-bit deployment…
AI News Brief Hourly Summary 2026-08-10 11h : 11 posts
11 posts were published in the last hour 8:32 : ReQuant: Fixed-Grid Discrete Refinement for Post-Training Quantization 8:32 : Finding Usable Weight Mechanisms with Tiled SVD 8:32 : FedLBW: A Loss-Based Weighting Strategy for Federated Learning on Non-IID Data in…
ReQuant: Fixed-Grid Discrete Refinement for Post-Training Quantization
arXiv:2608.07019v1 Announce Type: new Abstract: Post-training quantization (PTQ) is widely used to reduce the memory and computational cost of large…
Finding Usable Weight Mechanisms with Tiled SVD
arXiv:2608.06969v1 Announce Type: new Abstract: The dominant approach to mechanistic interpretability trains proxy dictionaries such as sparse…
FedLBW: A Loss-Based Weighting Strategy for Federated Learning on Non-IID Data in Wireless Networks
arXiv:2608.07007v1 Announce Type: new Abstract: Federated Learning (FL) enables collaborative machine learning (ML) across distributed clients while…
CAi Copilot: Reducing Operational Workload in Molecular Design through Intent-Driven Agentic Workflows
arXiv:2608.06961v1 Announce Type: new Abstract: Early-stage molecular design is an iterative process, not just a task of generating molecules. Researchers…
Learning in Deep Networks under Dale’s Constraint
arXiv:2608.06963v1 Announce Type: new Abstract: Biologically plausible learning models aim to explain how neural circuits can implement effective learning…
Critical Acclaim Orientation in Large Language Models: Evidence from Film Preference Elicitation
arXiv:2608.06955v1 Announce Type: new Abstract: Large language models (LLMs) are trained on corpora that contain expressions of human judgment about…
LMM Modality Transfer: A Pre-requisite for Autonomous GIS Agents
arXiv:2608.06948v1 Announce Type: new Abstract: AI models are becoming increasingly adept at understanding and processing spatial information, thereby…
Blind to the Pivotal Vote: Aggregate Independence Metrics Miss Where Verification Actually Helps
arXiv:2608.06940v1 Announce Type: new Abstract: LLM judge panels are a standard evaluation tool, but prior work reports highly correlated panel errors:…
Does Splitting a Triage Decision Across Agents Hide Bias or Help Catch It? A Multi-Agent Simulation Study of LLM-Based Resource Allocation Under Audit Capacity Constraints
arXiv:2608.06949v1 Announce Type: new Abstract: Prior benchmarking work has shown that a single large language model (LLM), forced to make life-or-death…
Science Edge Evaluation: SEE the Missing Step Toward Real Scientific Discovery
arXiv:2608.06931v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly involved in scientific discovery, yet it remains unclear…
AI News Brief Hourly Summary 2026-08-10 10h : 11 posts
11 posts were published in the last hour 7:33 : Fast LapSum: Exact Differentiable Top-k at Million Scale 7:33 : Deal Me Maybe: The Role of Emotions in Multi-Agent Negotiation 7:33 : Long-Horizon Agent Trajectory Attribution: A Unified Benchmark and…
Fast LapSum: Exact Differentiable Top-k at Million Scale
arXiv:2608.06912v1 Announce Type: new Abstract: The top-$k$ operation is a fundamental building block of modern sparse computation, enabling token…
Deal Me Maybe: The Role of Emotions in Multi-Agent Negotiation
arXiv:2608.06922v1 Announce Type: new Abstract: Negotiation is a demanding social task for LLM agents, requiring strategic reasoning, persuasion, and…
Long-Horizon Agent Trajectory Attribution: A Unified Benchmark and Fine-Grained Annotation Framework
arXiv:2608.06909v1 Announce Type: new Abstract: Large language model (LLM) agents increasingly operate through long-horizon trajectories involving user…
TRIBE: Predicting Team Performance via Communication Behavior Ensembles
arXiv:2608.06926v1 Announce Type: new Abstract: Designing autonomous agents that effectively assist human teams hinges on understanding team dynamics,…