🔗 Who cites «How predictable is language model benchmark performance?»

16 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «How predictable is language model benchmark performance?»

1. Humanity's Last ExamNatureLong Phan, Alice Gatti, Ziwen Han, et al.2025 · 256 citations
2. Seed1.5-VL Technical ReportarXiv:2505.07062Dong Guo, Faming Wu, Feida Zhu, et al.2025 · 67 citations
3. Observational Scaling Laws and the Predictability of Language Model PerformancearXiv:2405.10938Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 40 citations
4. Measuring AI Ability to Complete Long Software TasksConference on Neural Information Processing Systems (NeurIPS)Thomas Kwa, Ben West, Joel Becker, et al.2025 · 36 citations
5. The Art of Scaling Reinforcement Learning Compute for LLMsarXiv:2510.13786Devvrit Khatri, Lovish Madaan, Rishabh Tiwari, et al.2025 · 20 citations
6. AutoTaskEval: Towards Domain-Specific and Fine-Grained Evaluation for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Qingqing Lyu, Linjuan Wu, Yongliang Shen, et al.2026

10 more papers of our library cite it; they have no page here yet.

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