cyberintel.kalymoon.com · 2688 articles · updated every 4 hours · grows forever
arXiv:2604.16812v1 Announce Type: new Abstract: When model developers or users fine-tune an LLM, this can induce behaviors that are unexpected, deliberately harmful, or hard to detect. It would be far…
arXiv:2604.16776v1 Announce Type: new Abstract: Modeling single-cell gene expression across diverse biological and technical conditions is crucial for characterizing cellular states and simulating uns…
arXiv:2604.16755v1 Announce Type: new Abstract: As large language models (LLMs) are increasingly integrated into daily life, in roles ranging from high-stakes decision support to companionship, unders…
arXiv:2604.16753v1 Announce Type: new Abstract: As large language models (LLMs) transition into autonomous agents integrated with extensive tool ecosystems, traditional routing heuristics increasingly…
arXiv:2604.16752v1 Announce Type: new Abstract: Current agent evaluations largely reward execution on fully specified tasks, while recent work studies clarification [11, 22, 2], capability awareness […
arXiv:2604.16745v1 Announce Type: new Abstract: Training-free token reduction methods for Vision Transformers (ToMe, ToFu, PiToMe, and MCTF) employ different scoring mechanisms, yet they share a close…
arXiv:2604.16742v1 Announce Type: new Abstract: Scientists have long sought to accurately predict outcomes of real-world events before they happen. Can AI systems do so more reliably? We study this qu…
arXiv:2604.16736v1 Announce Type: new Abstract: LLM-powered coding agents suffer from a poorly understood failure mode we term output stalling: the agent silently produces empty responses when attempt…
arXiv:2604.16723v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated potential in automating scientific ideation, yet current approaches relying on iterative prompting or com…
arXiv:2604.16706v1 Announce Type: new Abstract: Automated evaluation of tool-using large language model (LLM) agents is widely assumed to be reliable, but this assumption has rarely been validated aga…
arXiv:2604.16694v1 Announce Type: new Abstract: Large reasoning models (LRMs) enhance problem-solving capabilities by generating explicit multi-step chains of thought (CoT) reasoning; however, they in…
arXiv:2604.16689v1 Announce Type: new Abstract: Masking-based post-hoc explanation methods, such as KernelSHAP and LIME, estimate local feature importance by querying a black-box model under randomize…
arXiv:2604.16687v1 Announce Type: new Abstract: This paper introduces a multi-agent framework guided by Large Language Models (LLMs) to assist in the early stages of engineering design, a phase often …
arXiv:2604.16672v1 Announce Type: new Abstract: In active learning, membership queries (MQs) allow a learner to pose questions to a teacher, such as ''Is every apple a fruit?'', to which the teacher r…
arXiv:2604.16646v1 Announce Type: new Abstract: Recent advances in agentic frameworks have enabled AI agents to perform complex reasoning and decision-making. However, evidence comparing their reasoni…
arXiv:2604.16465v1 Announce Type: new Abstract: Healthcare productivity is shaped not only by clinical complexity but by the costs of coordinating work under uncertainty. Transaction-cost economics of…
arXiv:2604.16434v1 Announce Type: new Abstract: When a system commits to a hypothesis, much of the evidential structure behind that commitment is lost to compression. Standard accounts assume that sel…
arXiv:2604.16406v1 Announce Type: new Abstract: Realistic highway simulation is critical for scalable safety evaluation of autonomous vehicles, particularly for interactions that are too rare to study…
arXiv:2604.16403v1 Announce Type: new Abstract: Generative AI systems are increasingly recognized as cultural technologies, yet current evaluation frameworks often treat culture as a variable to be me…
arXiv:2604.16339v1 Announce Type: new Abstract: Multi-agent large language model (LLM) systems are rapidly emerging as the dominant architecture for enterprise AI automation, yet production deployment…
arXiv:2604.16338v1 Announce Type: new Abstract: The rapid adoption of agentic AI in enterprise business operations--autonomous systems capable of planning, reasoning, and executing multi-step workflow…
arXiv:2604.17238v1 Announce Type: new Abstract: In the 47th IEEE Symposium on Security and Privacy (IEEE S&P 2026), Gao et al. proposed an efficient and user-friendly secure transformer inference fram…
arXiv:2604.17179v1 Announce Type: new Abstract: INTRODUCTION: The proliferation of the amalgamation of IoT and edge computing has increased the demand for decentralised trust and security mechanisms c…
arXiv:2604.17159v1 Announce Type: new Abstract: We present, to our knowledge, the most comprehensive cross-model evaluation of LLM agents on offensive cybersecurity tasks, benchmarking 10 frontier mod…