2 citations · 5 across the 7 of their papers we have counts for
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cs.AI2026
Maintaining Benchmarks Against Increasingly Capable Agents: Detection and Remediation of Unearned Passes
Weijun Luo, Kelvin Luu, Xinyi Liu +6
Agentic benchmarks guide model selection and training. Yet an agent can pass a task without demonstrating the intended capability. Such outcomes constitute unearned passes; their p…
cs.AI2023★ 2 cited
Formally Specifying the High-Level Behavior of LLM-Based Agents
Maxwell Crouse, Ibrahim Abdelaziz, Ramon Astudillo +7
Autonomous, goal-driven agents powered by LLMs have recently emerged as promising tools for solving challenging problems without the need for task-specific finetuned models that ca…