arXiv Artificial IntelligenceAdversarial Fast-Moving Real-World Domains as Test Beds for Benchmarking AI Scientist Capabilities
arXiv:2608.03569v1 Announce Type: new Abstract: Benchmarking the ability of AI scientists to generate novel…
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arXiv Artificial IntelligencearXiv:2608.03569v1 Announce Type: new Abstract: Benchmarking the ability of AI scientists to generate novel…
arXiv Artificial IntelligencearXiv:2608.03565v1 Announce Type: new Abstract: While modern tabular learners excel at capturing statistical…
arXiv Artificial IntelligencearXiv:2608.03550v1 Announce Type: new Abstract: Chain-of-Thought (CoT) prompting remains the standard…
arXiv Artificial IntelligencearXiv:2608.03531v1 Announce Type: new Abstract: Institutions increasingly rely on browser lockdown, webcam…
arXiv Artificial IntelligencearXiv:2608.03524v1 Announce Type: new Abstract: AGENTONOMICS is a framework that treats AI agents as economic…
arXiv Artificial IntelligencearXiv:2608.03512v1 Announce Type: new Abstract: Large language models (LLMs) have achieved strong performance…
arXiv Artificial IntelligencearXiv:2608.03506v1 Announce Type: new Abstract: Self-consistency assumes the most frequent answer among…
arXiv Artificial IntelligencearXiv:2608.03501v1 Announce Type: new Abstract: AI for Research (AI4Research) leverages AI to automate and…
arXiv Artificial IntelligencearXiv:2608.03499v1 Announce Type: new Abstract: Recent advances in persistent personal-agent frameworks are…
arXiv Artificial IntelligencearXiv:2608.03468v1 Announce Type: new Abstract: Historical tool-use trajectories provide valuable experience…
arXiv Artificial IntelligencearXiv:2608.03464v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) have made…
arXiv Artificial IntelligencearXiv:2608.03463v1 Announce Type: new Abstract: Long-term memory is essential for LLM-based agents to sustain…