EstGraph benchmark evaluates LLMs on estimating properties of very large graphs from random-walk samples that fit in context limits.
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Software engineering research faces four structural breakdowns in knowledge accumulation—isolated papers, lost context, untracked claims, and novelty incentives—and requires new principles for structured, provenance-aware, evolving research artifacts.
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Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks
EstGraph benchmark evaluates LLMs on estimating properties of very large graphs from random-walk samples that fit in context limits.
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From Papers to Progress: Rethinking Knowledge Accumulation in Software Engineering
Software engineering research faces four structural breakdowns in knowledge accumulation—isolated papers, lost context, untracked claims, and novelty incentives—and requires new principles for structured, provenance-aware, evolving research artifacts.