cyberintel.kalymoon.com · 5054 articles · updated every 4 hours · grows forever
arXiv:2603.24481v1 Announce Type: new Abstract: Miscalibrated confidence scores are a practical obstacle to deploying AI in clinical settings. A model that is always overconfident offers no useful sig…
arXiv:2603.24402v1 Announce Type: new Abstract: Existing automated research systems operate as stateless, linear pipelines, generating outputs without maintaining a persistent understanding of the res…
arXiv:2603.24084v1 Announce Type: new Abstract: Empirical evaluation in multi-objective search (MOS) has historically suffered from fragmentation, relying on heterogeneous problem instances with incom…
arXiv:2603.24065v1 Announce Type: new Abstract: Current prompting paradigms for large language models (LLMs), including Chain-of-Thought (CoT) and Tree-of-Thoughts (ToT), follow linear or tree-structu…
arXiv:2603.24018v1 Announce Type: new Abstract: Vision-language models (VLMs) have shown remarkable general capabilities, yet embodied agents built on them fail at complex tasks, often skipping critic…
arXiv:2603.24014v1 Announce Type: new Abstract: Participatory urban sensing leverages human mobility for large-scale urban data collection, yet existing methods typically rely on centralized optimizat…
arXiv:2603.23964v1 Announce Type: new Abstract: The remarkable progress of reinforcement learning (RL) is intrinsically tied to the environments used to train and evaluate artificial agents. Moving be…
arXiv:2603.23910v1 Announce Type: new Abstract: Recent advances in large language models (LLMs) suggest strong potential for automating analog circuit design. Yet most LLM-based approaches rely on a s…
arXiv:2603.23909v1 Announce Type: new Abstract: While Large Language Models (LLMs) provide semantic flexibility for robotic task planning, their susceptibility to hallucination and logical inconsisten…
arXiv:2603.23873v1 Announce Type: new Abstract: DeepXube is a free and open-source Python package and command-line tool that seeks to automate the solution of pathfinding problems by using machine lea…
arXiv:2603.23857v1 Announce Type: new Abstract: The adoption of generative AI across commercial and legal professions offers dramatic efficiency gains -- yet for law in particular, it introduces a per…
arXiv:2603.23853v1 Announce Type: new Abstract: Combining multiple Vision-Language Models (VLMs) can enhance multimodal reasoning and robustness, but aggregating heterogeneous models' outputs amplifie…
arXiv:2603.23840v1 Announce Type: new Abstract: With the growing demand for intelligent in-vehicle experiences, vehicle-based agents are evolving from simple assistants to long-term companions. This e…
arXiv:2603.23838v1 Announce Type: new Abstract: Lifelong Multi-Agent Path Finding (MAPF) is critical for modern warehouse automation, which requires multiple robots to continuously navigate conflict-f…
arXiv:2603.23749v1 Announce Type: new Abstract: Evaluating AI agents on comprehensive benchmarks is expensive because each evaluation requires interactive rollouts with tool use and multi-step reasoni…
arXiv:2603.23714v1 Announce Type: new Abstract: Large language models have recently been proposed as tools for automated essay scoring, but their agreement with human grading remains unclear. In this …
arXiv:2603.23676v1 Announce Type: new Abstract: We study long-horizon planning in 3D environments from under-specified natural-language goals using only visual observations, focusing on multi-step 3D …
arXiv:2603.23660v1 Announce Type: new Abstract: We introduce GTO Wizard Benchmark, a public API and standardized evaluation framework for benchmarking algorithms in Heads-Up No-Limit Texas Hold'em (HU…
arXiv:2603.23638v1 Announce Type: new Abstract: Large language models (LLMs) have enabled agentic systems that can reason, plan, and act across complex tasks, but it remains unclear whether they can a…
arXiv:2603.23625v1 Announce Type: new Abstract: Artificial intelligence (AI) is increasingly being explored in health and social care to reduce administrative workload and allow staff to spend more ti…
arXiv:2603.23610v1 Announce Type: new Abstract: Although large language models (LLMs) have advanced rapidly, robust automation of complex software workflows remains an open problem. In long-horizon se…
arXiv:2603.23539v1 Announce Type: new Abstract: We show that PLDR-LLMs pretrained at self-organized criticality exhibit reasoning at inference time. The characteristics of PLDR-LLM deductive outputs a…
arXiv:2508.02116v2 Announce Type: replace Abstract: As a versatile AI application, voice assistants (VAs) have become increasingly popular, but are vulnerable to security threats. Attackers have propo…
arXiv:2507.22171v3 Announce Type: replace Abstract: Jailbreak attacks aim to exploit large language models (LLMs) by inducing them to generate harmful content, thereby revealing their vulnerabilities.…