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Dongki Kim

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#artificial intelligence Preprint Oct 2026

AutoSciBench: Autonomous Benchmark Generation for Evaluating Scientific Agents

As agents rapidly evolve, existing benchmarks can become saturated, limiting their ability to distinguish capabilities and reveal remaining failure modes. Particularly in scientific domains, constructing and updating benchmarks requires substantial time, labor, and domain expertise, making it difficult to keep evaluati...

Dongki Kim, Namkyeong Lee, Surag Nair et al. · 0 citations
#artificial intelligence Preprint Aug 2026

AdaPath: Query-Adaptive Path-Finding via Path-Bank for Multi-Hop Implicit Biomedical KGQA

AdaPath is proposed, a path-finding framework that retrieves query-adaptive meta-paths from Path-Bank, which captures both query semantics and biomedical knowledge graph structure and releases BioStrat-QA, a biomedical KGQA benchmark that stratifies multi-hop queries by how much intermediate reasoning they expose.

Jun Hyeong Kim, Dongki Kim, Yinhua Piao et al. · 0 citations

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