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Finding New Connections between Concepts from Medline Database Incorporating Domain Knowledge

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arXiv:2606. 07530v1 Announce Type: new Abstract: In this digital world, data is everything and significantly impacts our everyday lives.

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Authors: Yang Weikang, Chowdhury S. M. Mazharul Hoque, Jin Wei
Released: 2026-06-09 (2mo ago)
Topic: Related to current project
Relation to my work: Read next because Finding New Connections between Concepts from Medline Database Incorporating Domain Knowledge overlaps with clean result "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)", clean result "Training one persona to emit a [ZLT] marker without bystanders adopting it has a one-cell-wide LR x epochs window on Qwen2.5-7B-Instruct (LOW confidence)", clean result "A pretraining-data-poisoned Qwen3-4B backdoor only fires on the exact trigger tokens — paraphrases don't activate it, and base-model similarity to the trigger doesn't predict which inputs fire (MODERATE confidence)". Matching terms: rect, line, rate, does, another, model. Source: arxiv cs.CL (NLP).
arXiv: 2606.07530

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