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Mind the Sim-to-Real Gap & Think Like a Scientist

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arXiv:2605. 21458v1 Announce Type: new Abstract: Suppose a planner has a pre-trained simulator of a sequential decision problem and the option to run real experiments in the field.

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Authors: Harsh Parikh, Gabriel Levin-Konigsberg, Dominique Perrault-Joncas, Alexander Volfovsky
Released: 2026-05-22 (2mo ago)
Topic: Related to current project
Relation to my work: Read next because Mind the Sim-to-Real Gap & Think Like a Scientist 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 "The marker is a representational handle, not a behavioural one — sharing it between a villain persona and the assistant transfers no misalignment (HIGH confidence)", experiment "Follow-up to #354: cascading chunk-binding — does A→B, B→C, C→D propagate the full chain on a recipient trained only to emit A?". Matching terms: under, rate, does, chain, trained, test, lora. Source: arxiv cs.AI (Artificial Intelligence).
arXiv: 2605.21458

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