cyberintel.kalymoon.com · 4929 articles · updated every 4 hours · grows forever
arXiv:2604.16922v1 Announce Type: new Abstract: Climate research is pivotal for mitigating global environmental crises, yet the accelerating volume of multi-scale datasets and the complexity of analyt…
arXiv:2604.16913v1 Announce Type: new Abstract: Decentralized Autonomous Organizations (DAOs) are inclined explore Small Language Models (SLMs) as edge-native constitutional firewalls to vet proposals…
arXiv:2604.16911v1 Announce Type: new Abstract: Large Language Model (LLM) agents are increasingly extended at runtime via skill packages, structured natural-language instruction bundles loaded from a…
arXiv:2604.16902v1 Announce Type: new Abstract: Native Omni-modal Large Language Models (OLLMs) have shifted from pipeline architectures to unified representation spaces. However, this native integrat…
arXiv:2604.16890v1 Announce Type: new Abstract: Large reasoning models that use long chain-of-thought excel at problem-solving yet waste compute on redundant checks. Curbing this overthinking is hard:…
arXiv:2604.16871v1 Announce Type: new Abstract: Neuro-symbolic Reinforcement Learning (NeSy-RL) combines symbolic reasoning with gradient-based optimization to achieve interpretable and generalizable …
arXiv:2604.16859v1 Announce Type: new Abstract: Accurate traffic forecasting is crucial for intelligent transportation systems, supporting effective traffic management, congestion reduction, and infor…
arXiv:2604.16835v1 Announce Type: new Abstract: Shanghai Composite Index prediction has become a hot issue for many investors and academic researchers. Deep learning models are widely applied in multi…
arXiv:2604.16813v1 Announce Type: new Abstract: Agentic AI systems are rapidly advancing toward real-world applications, yet their readiness in complex and personalized environments remains insufficie…
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…