When is a large language model a good calibration agent? Physics-labeled prompting for budgeted engineering simulator calibration
arXiv 2610.22379v1•8e56a6d2d9eb67bb3aa619d8bd3f83eb45f7001f0635854b6f27a867ef6db21e
Paper metadata
- arXiv ID
- 2610.22379
- Version
- v1
- Category
- cs.AI, cs.LG
- Authors
- Ruo-Qian Wang
- Publication date
- 2026-10-19T04:00:00Z
- Source identifier
- 2610.22379v1
- Public record ID
- record:sha256:8e56a6d2d9eb67bb3aa619d8bd3f83eb45f7001f0635854b6f27a867ef6db21e
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Evidence and limitations
- Source ID
- arxiv_research
- Record identifier
- 8e56a6d2d9eb67bb3aa619d8bd3f83eb45f7001f0635854b6f27a867ef6db21e
- Record type
- Source metadata
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