What is recorded here?
Combined language-model suggestions for auxiliary constructions with symbolic deduction, reporting solutions to 25 of the 30 geometry problems in its IMO-AG-30 evaluation.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
This is a geometry benchmark result for the original 2024 system, not a full IMO medal, an arbitrary mathematics solver or a new open-problem discovery. Synthetic proof demonstrations do not remove the human contribution to the system and rules. The published acknowledgement correction is retained; WRS has not rerun the benchmark.
Read the original work
- Trinh et al., Solving Olympiad Geometry without Human Demonstrations, Nature 625, 476–482 (2024)
- Google DeepMind, AlphaGeometry: An Olympiad-Level AI System for Geometry, 17 January 2024
- Trinh et al., Author Correction, Nature 627, E8 (23 February 2024)
- Google DeepMind, AlphaGeometry repository README
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
Trieu H. Trinh; Yuhuai Wu; Quoc V. Le; He He; Thang Luong
Listed source contributors; individual labor shares are not measured
AlphaGeometry · Google DeepMind · AlphaGeometry (2024)
Neural auxiliary-construction proposals with symbolic proof search. Source-reported attribution; provider attestation is unavailable.
Research locations and affiliations
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English catalogue narrative
AlphaGeometry: neuro-symbolic olympiad geometry
Combined language-model suggestions for auxiliary constructions with symbolic deduction, reporting solutions to 25 of the 30 geometry problems in its IMO-AG-30 evaluation.
Scientific scope
This is a geometry benchmark result for the original 2024 system, not a full IMO medal, an arbitrary mathematics solver or a new open-problem discovery. Synthetic proof demonstrations do not remove the human contribution to the system and rules. The published acknowledgement correction is retained; WRS has not rerun the benchmark.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Trieu H. Trinh; Yuhuai Wu; Quoc V. Le; He He; Thang Luong
Listed source contributors; individual labor shares are not measured
AlphaGeometry / Google DeepMind / AlphaGeometry (2024): Neural auxiliary-construction proposals with symbolic proof search (source reported).