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Hai-Di Jin

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#artificial intelligence Preprint Oct 2026

Context as Infrastructure: Knowledge Compilation for Retrieval in Agentic Systems with Harnesses

Retrieval-augmented generation is becoming agentic. A search harness writes queries, reads results, reformulates, and decides when to stop. This largely solves accuracy: a harness with only BM25/grep and MiniMax M3 answers 85% of BrowseComp-Plus and 91% on multi-hop FRAMES in our runs, without compiled or vector indexe...

Zhi-Chang Yu, Bai-Ning Cao, S. Idriss et al. · 0 citations
#natural language process... Preprint Sep 2026

Bongard: Training Machine Intuition

Human intelligence relies heavily on learned intuition: recognising patterns and judging situations without explicitly unfolding every intermediate step. We introduce Bongard, an open-weight System One model that treats machine intuition as an independent capability to design and train. A T5Gemma 2 4B-4B encoder-decode...

Li Ding, Hai-Di Jin, Chen-Hua Ji · 0 citations

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