arXiv:2608.18167v1 Announce Type: new Abstract: Early multi-agent LLM systems often used role-separated teams, yet scaling agent count yields diminishing…
Category: AI
OpenAI says it’s “pacing model development” as AI cybersecurity risks grow too dangerous
OpenAI is deliberately “pacing AI model development,” partly because the upcoming “Astra” model may be close to gaining critical cyberattack capabilities.…
RDFdL: Integrating RDF with Differential Dynamic Logic
arXiv:2608.18165v1 Announce Type: new Abstract: Knowledge graphs modeled in RDF are powerful for describing static knowledge, but they cannot capture or…
Pacing model development in an era of cyber-critical capabilities
OpenAI is strengthening monitoring, alignment, and security for frontier AI models. See how new safeguards are guiding the pace of model development.
Efficient Adaptation of LLMs for Hate Speech Detection in Low-Resource Languages: A Comparative Study on Roman Urdu
arXiv:2608.18142v1 Announce Type: new Abstract: It is challenging to detect hate speech in Low Resource Languages (LRLs) because of the absence of…
Solving Is Not Drawing: A Benchmark for Diagrammatic Reasoning in Olympiad Geometry
arXiv:2608.18111v1 Announce Type: new Abstract: Foundation models such as GPT and Claude now solve olympiad-level mathematics with remarkable proficiency,…
Improving Rural Medication Safety with AI: A Scoping Review
arXiv:2608.18135v1 Announce Type: new Abstract: Introduction: Medication errors (MEs) represent a significant threat to global healthcare systems,…
Position: AI Leaderboards Are Underserving the Global South: A Case Study from India
arXiv:2608.18117v1 Announce Type: new Abstract: This position paper argues that AI leaderboards are structurally ill-suited to serving the Global South…
How Much Memory Does Your Agent Actually Need?
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Safety Alignment Illusion: The Cross-Lingual Safety Gap in LLMs
arXiv:2608.18131v1 Announce Type: new Abstract: Current safety alignment training for Large Language Models (LLMs) are heavily English-centric. When such…
