--- id: "/tags/general-leaderboards/page/7/" title: "General Leaderboards · page 7" url: "https://skillissue.dev/tags/general-leaderboards/page/7/" --- # General Leaderboards [Beginner](/levels/beginner/index.md) [Intermediate](/levels/intermediate/index.md) [Advanced](/levels/advanced/index.md) [Expert](/levels/expert/index.md) 248 resources · page 7 of 8 - ### [WorldScore Leaderboard (Hugging Face Space)](/evaluation/benchmarks-and-leaderboards/worldscore-leaderboard-hf/index.md) by [Haoyi Duan](https://huggingface.co/Howieeeee) WorldScore leaderboard Space: current model rankings on the WorldScore world-generation benchmark. entity leaderboard US en - ### [Zindi](/evaluation/benchmarks-and-leaderboards/zindi/index.md) by [Zindi](https://zindi.world/) Zindi: competition platform hosting data-science and AI challenges with datasets and metrics, focused on Africa. entity benchmark Africa-origin; international en - ### [Your AI Product Needs Evals (Hamel Husain)](/evaluation/benchmarks-and-leaderboards/evals-verification/index.md) by [Hamel Husain](https://hamel.dev/) Hamel Husain's essay on building domain-specific evaluation systems for LLM products. Beginner–Intermediate learning_resource blog US en - ### [Langfuse joins ClickHouse](/evaluation/benchmarks-and-leaderboards/langfuse-joining-clickhouse/index.md) by [Langfuse](https://langfuse.com/) Langfuse post announcing the company joined ClickHouse and describing plans for the open-source project. Beginner learning_resource blog Germany/EU en - ### [MMLU (classic)](/evaluation/benchmarks-and-leaderboards/mmlu-classic/index.md) by [Dan Hendrycks et al. (University of Chicago)](https://www.uchicago.edu) arXiv paper (2020) "Measuring Massive Multitask Language Understanding", introducing MMLU, a 57-subject multitask knowledge benchmark. Beginner learning_resource paper US en - ### [BEHAVIOR Challenge Charts the Way Forward for Domestic Robotics (Stanford HAI)](/evaluation/benchmarks-and-leaderboards/stanford-hai-behavior-challenge-article/index.md) by [Stanford HAI](https://hai.stanford.edu/) Stanford HAI article on the BEHAVIOR Challenge, a household-robotics competition in simulation held at NeurIPS 2025. Beginner learning_resource guide US en - ### [March 2026: Arena Updates](/evaluation/benchmarks-and-leaderboards/arena-march-2026-updates-blog/index.md) by [Arena (formerly LMArena)](https://arena.ai/) Arena blog post on March 2026 updates: new document and video-edit arenas and leaderboard changes. Intermediate learning_resource docs US en - ### [Arize Phoenix docs: LLM-as-a-judge](/evaluation/benchmarks-and-leaderboards/arize-phoenix-llm-as-a-judge/index.md) by [Arize AI](https://www.arize.com) Arize Phoenix documentation on LLM-as-a-judge evaluation: designing judge prompts and criteria. Intermediate learning_resource docs US en - ### [Braintrust documentation](/evaluation/benchmarks-and-leaderboards/braintrust-documentation/index.md) by [Braintrust](https://braintrust.dev/) Braintrust documentation for running experiments, scoring outputs and collecting production feedback on AI apps. Intermediate learning_resource docs US en - ### [Braintrust docs: Evaluate systematically](/evaluation/benchmarks-and-leaderboards/braintrust-evaluate/index.md) by [Braintrust](https://braintrust.dev/) Braintrust documentation on systematic evaluation: datasets, scorers and regression detection for AI applications. Intermediate learning_resource docs US en - ### [Can We Trust AI Benchmarks?](/evaluation/benchmarks-and-leaderboards/can-we-trust-ai-benchmarks/index.md) by [Maria Eriksson et al. (European Commission)](https://commission.europa.eu) arXiv paper (2025) reviewing about 100 studies on the trustworthiness and limitations of AI benchmarks. Intermediate learning_resource paper EU (JRC) en - ### [Chatbot Arena paper](/evaluation/benchmarks-and-leaderboards/chatbot-arena-paper/index.md) by [Wei-Lin Chiang et al. (LMSYS, UC Berkeley)](https://lmsys.org/) arXiv paper (2024) describing Chatbot Arena, its crowdsourced pairwise voting and Bradley-Terry ranking method. Intermediate learning_resource paper US en - ### [SimpleQA Verified: Benchmark review (Epoch AI)](/evaluation/benchmarks-and-leaderboards/epoch-benchmark-review-simpleqa-verified/index.md) by [Epoch AI](https://epoch.ai/) Epoch AI review of the SimpleQA Verified benchmark, checking a sample of questions for correctness. Intermediate learning_resource guide US en - ### [Evaluating the Effectiveness of LLM-Evaluators (Eugene Yan)](/evaluation/benchmarks-and-leaderboards/eugene-yan-llm-evaluators/index.md) by [Eugene Yan](https://eugeneyan.com/) Eugene Yan's review of LLM-evaluator (LLM-as-judge) research: use cases, techniques, alignment and critiques. Intermediate learning_resource guide US en - ### [SberDevices blog on Habr](/evaluation/benchmarks-and-leaderboards/habr-sberdevices-blog/index.md) by [SberDevices](https://sberdevices.ru/) SberDevices company blog on Habr with Russian-language technical posts on GigaChat models and evaluation. Intermediate learning_resource blog Russia ru - ### [Using LLM-as-a-Judge For Evaluation: A Complete Guide (Hamel Husain)](/evaluation/benchmarks-and-leaderboards/hamel-llm-as-a-judge-guide/index.md) by [Hamel Husain](https://hamel.dev/) Hamel Husain's guide to building an LLM judge and validating it against domain-expert labels. Intermediate learning_resource guide US en - ### [HF blog: Hebrew leaderboard](/evaluation/benchmarks-and-leaderboards/hf-blog-hebrew-leaderboard/index.md) by [Hugging Face](https://huggingface.co/) Hugging Face blog source file announcing the Hebrew LLM leaderboard and its evaluation tasks. Intermediate learning_resource blog Israel en - ### [AI Evals: Everything You Need to Know (Hamel Husain)](/evaluation/benchmarks-and-leaderboards/husain-shankar-ai-evals-everything-you-need-to-know/index.md) by [Hamel Husain](https://hamel.dev/) Hamel Husain and Shreya Shankar's AI evals FAQ for engineers and PMs: testing AI systems, error analysis, RAG and agent evals. Intermediate learning_resource guide US en - ### [Announcing Evals and Releases for Fin (Intercom)](/evaluation/benchmarks-and-leaderboards/intercom-announcing-evals-and-releases-for-fin-2026-08-13/index.md) by [Intercom](https://www.intercom.com/) Intercom post announcing Evals and Releases for its Fin support agent, for testing before, during and after launch. Intermediate learning_resource blog IE/US en - ### [Judging LLM-as-a-Judge (MT-Bench)](/evaluation/benchmarks-and-leaderboards/judging-llm-as-a-judge-mt-bench/index.md) by [Lianmin Zheng et al. (LMSYS, UC Berkeley)](https://lmsys.org/) arXiv paper (2023) on using strong LLMs as judges, with MT-Bench, Chatbot Arena and analysis of judge biases. Intermediate learning_resource paper US en - ### [LangSmith docs: Evaluation concepts](/evaluation/benchmarks-and-leaderboards/langsmith-evaluation-concepts/index.md) by [LangChain](https://www.langchain.com) LangSmith documentation source on evaluation concepts: datasets, evaluators, offline and online evals. Intermediate learning_resource docs US en - ### [LiveBench paper](/evaluation/benchmarks-and-leaderboards/livebench-paper/index.md) by [Colin White et al. (Abacus.AI)](https://abacus.ai/) arXiv paper (2024) introducing LiveBench, a contamination-limited LLM benchmark with regularly refreshed questions. Intermediate learning_resource paper US en - ### [Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity](/evaluation/benchmarks-and-leaderboards/metr-developer-productivity-rct-2025/index.md) by [Joel Becker et al. (METR)](https://metr.org/) arXiv paper (2025) by METR reporting a randomized trial of early-2025 AI tools' effect on experienced open-source developers' speed. Intermediate learning_resource paper US en - ### [The Open Arabic LLM Leaderboard 2](/evaluation/benchmarks-and-leaderboards/oall-v2-launch-blog/index.md) by [Hugging Face](https://huggingface.co/) Hugging Face post launching the Open Arabic LLM Leaderboard 2 with native Arabic benchmarks. Intermediate learning_resource blog MENA ar|en - ### [OECD AI Incidents Monitor](/evaluation/benchmarks-and-leaderboards/oecd-ai-incidents-monitor/index.md) by [OECD](https://www.oecd.org/) OECD AI Incidents Monitor: database of AI incidents and hazards compiled from news reports. Intermediate learning_resource docs International; OECD en - ### [Sarvam-M multilingual language model (Sarvam AI)](/evaluation/benchmarks-and-leaderboards/sarvam-m-blog/index.md) by [Sarvam AI](https://sarvam.ai/) Sarvam AI technical post on Sarvam-M, a hybrid reasoning model for Indian languages, with post-training and inference details. Intermediate learning_resource blog India en - ### [W&B Weave documentation](/evaluation/benchmarks-and-leaderboards/weights-biases-weave/index.md) by [CoreWeave (Weights & Biases)](https://www.coreweave.com/) W&B Weave documentation, now hosted by CoreWeave: tracing, testing and evaluating LLM applications. Intermediate learning_resource docs US en - ### [What We've Learned From A Year of Building with LLMs](/evaluation/benchmarks-and-leaderboards/what-we-ve-learned-from-a-year-of-building-with-llms/index.md) by [Eugene Yan, Bryan Bischof, Charles Frye, Hamel Husain, Jason Liu and Shreya Shankar](https://applied-llms.org/) Applied LLMs guide by Yan, Bischof, Frye, Husain, Liu and Shankar: tactical, operational and strategic lessons from building LLM products. Intermediate learning_resource guide US en - ### [ARC Prize 2025 Technical Report](/evaluation/benchmarks-and-leaderboards/arc-prize-2025-technical-report/index.md) by [François Chollet et al. (ARC Prize Foundation)](https://arcprize.org/) arXiv paper (2026) ARC Prize 2025 technical report on ARC-AGI-2 results and winning approaches. Advanced learning_resource paper US en - ### [Benchmark-based assessment of Indian foundation models](/evaluation/benchmarks-and-leaderboards/benchmark-based-assessment-of-indian-foundation-models/index.md) by [Avinash Agarwal and Vridhi Jain](https://openalex.org/authors/A5123875505) arXiv paper (2026) comparing publicly benchmarked Indian foundation models across benchmarks. Advanced–Expert learning_resource paper India en - ### [C-Eval paper](/evaluation/benchmarks-and-leaderboards/c-eval-paper/index.md) by [Yuzhen Huang et al. (Shanghai Jiao Tong University)](https://www.sjtu.edu.cn) arXiv paper (2023) introducing C-Eval, a multi-level, multi-discipline Chinese evaluation suite for foundation models. Advanced–Expert learning_resource paper China en - ### [CLARIN-PT-LDB paper](/evaluation/benchmarks-and-leaderboards/clarin-pt-ldb-paper/index.md) by [João Silva et al. (University of Lisbon)](https://www.ulisboa.pt) arXiv paper (2026) introducing CLARIN-PT-LDB, an open LLM leaderboard for European Portuguese. Advanced–Expert learning_resource paper Portugal pt [Previous page](/tags/general-leaderboards/page/6/index.md) [Next page](/tags/general-leaderboards/page/8/index.md) [Plain-text Markdown copy](/tags/general-leaderboards/page/7/index.md)