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This paper introduces a novel method to estimate the orbital eccentricity of binary black holes (BBHs) by leveraging the measurable spin-orbit misalignment. It establishes a connection between spin-tilt and eccentricity, allowing for the reconstruction of formation eccentricity even without direct measurements. The method is applied to existing gravitational wave events, demonstrating its potential. The paper highlights the importance of this approach for understanding BBH formation and the impact of future detectors.
Reference

By measuring this spin-tilt using gravitational waves, we can not only constrain the natal kick, but we can also reconstruct the binary's formation eccentricity.

Research#llm📝 BlogAnalyzed: Dec 26, 2025 16:02

Successful Language Model Evaluations and Their Impact

Published:May 24, 2024 19:45
1 min read
Jason Wei

Analysis

This article highlights the importance of evaluation benchmarks (evals) in driving progress in the field of language models. The author argues that evals act as incentives for the research community, leading to breakthroughs when models achieve significant performance improvements on them. The piece identifies several successful evals, such as GLUE/SuperGLUE, MMLU, GSM8K, MATH, and HumanEval, and discusses how they have been instrumental in advancing the capabilities of language models. The author also touches upon their own contributions to the field with MGSM and BBH. The key takeaway is that a successful eval is one that is widely adopted and trusted within the community, often propelled by a major paper showcasing a significant achievement using that eval.
Reference

Evals are incentives for the research community, and breakthroughs are often closely linked to a huge performance jump on some eval.