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Can Language Models Play the Wikipedia Game?
Language models increasingly support or automate information retrieval from document collections too large to index. This task becomes difficult when it requires specialist linguistic or scientific knowledge. Hickey, Knight, and B...
RATED: Reliability-Aware AI Agent Tool Retrieval via Execution Dynamics
AI agents increasingly rely on external tools for task completion. When retrieval selects an unavailable or broken tool, the agent fails silently or loops unnecessarily. Existing methods prioritize semantic similarity but treat to...
X-AgentRed: Red-Teaming Personal Agents in Evolving Multi-Service Ecosystems
Personal agents connect to services across the web and applications through tools. As accumulated effects interact across services, unintended or harmful outcomes can arise when agents fulfill benign user requests. Proactively ide...
QTestBench: A Test Framework for Evaluating LLM-Generated Quantum Code
Large language models have shown strong results in classical code generation and are increasingly used to write unit tests that safeguard that code. Whether they can do the same for quantum software is less clear, because quantum...
AI agents in a stand-up call
Agents in a Stand-up Format Your AI agents, in a stand-up call. See who is waiting on whom and who is blocked, at zero token cost. Agent Standup turns your Claude Code session into a live team meeting: the lead gives orders, sub-a...
On the estimation and validity of AI time horizons---a statistical look at the METR plot
Rethinking AI time horizons: why the log-linear assumption breaks down METR's 50% time horizon measures the human completion time of software tasks that an AI solves with 50% probability, allowing AI capabilities to be expressed i...
From Reactive Containment to Proactive Assurance: Lessons from OpenAI, Anthropic, and Google Agent Security Incidents
Security incidents reveal assumed boundaries are insufficient In 2026, cybersecurity evaluations involving OpenAI, Anthropic, and Google agents reached real systems outside their authorized test scope. The paths differed. OpenAI a...
Ecology of AI Agents: Collaboration Creates a Population Threshold for Takeoff
White-box Deception Detection via Scalable Probes Recent incidents have highlighted the challenge of monitoring LLM agents and the danger of models deceiving people. We show that white-box deception detection via probes can be sca...
Searching for "Harmful Refusal": A Psychometric Audit of an AI Safety Benchmark
Safety benchmarks typically report one overall score for a suite of datasets, each of which may target one or more safety-related attributes, so models with similar overall scores can have very different attribute profiles. Compar...
GeoReform: Reflective Formalization Evolution for Multimodal Geometry Problem Solving
Multimodal large language models (MLLMs) often struggle to identify and use geometric relations in diagrams. Recent methods address this challenge by converting geometric entities, relations, and constraints into explicit textual...