General Leaderboards
248 resources · page 7 of 8
WorldScore Leaderboard (Hugging Face Space)
by Haoyi Duan
WorldScore leaderboard Space: current model rankings on the WorldScore world-generation benchmark.
Zindi
by Zindi
Zindi: competition platform hosting data-science and AI challenges with datasets and metrics, focused on Africa.
Your AI Product Needs Evals (Hamel Husain)
by Hamel Husain
Hamel Husain's essay on building domain-specific evaluation systems for LLM products.
Langfuse joins ClickHouse
by Langfuse
Langfuse post announcing the company joined ClickHouse and describing plans for the open-source project.
MMLU (classic)
by Dan Hendrycks et al. (University of Chicago)
arXiv paper (2020) "Measuring Massive Multitask Language Understanding", introducing MMLU, a 57-subject multitask knowledge benchmark.
BEHAVIOR Challenge Charts the Way Forward for Domestic Robotics (Stanford HAI)
by Stanford HAI
Stanford HAI article on the BEHAVIOR Challenge, a household-robotics competition in simulation held at NeurIPS 2025.
March 2026: Arena Updates
Arena blog post on March 2026 updates: new document and video-edit arenas and leaderboard changes.
Arize Phoenix docs: LLM-as-a-judge
by Arize AI
Arize Phoenix documentation on LLM-as-a-judge evaluation: designing judge prompts and criteria.
Braintrust documentation
by Braintrust
Braintrust documentation for running experiments, scoring outputs and collecting production feedback on AI apps.
Braintrust docs: Evaluate systematically
by Braintrust
Braintrust documentation on systematic evaluation: datasets, scorers and regression detection for AI applications.
Can We Trust AI Benchmarks?
by Maria Eriksson et al. (European Commission)
arXiv paper (2025) reviewing about 100 studies on the trustworthiness and limitations of AI benchmarks.
Chatbot Arena paper
by Wei-Lin Chiang et al. (LMSYS, UC Berkeley)
arXiv paper (2024) describing Chatbot Arena, its crowdsourced pairwise voting and Bradley-Terry ranking method.
SimpleQA Verified: Benchmark review (Epoch AI)
by Epoch AI
Epoch AI review of the SimpleQA Verified benchmark, checking a sample of questions for correctness.
Evaluating the Effectiveness of LLM-Evaluators (Eugene Yan)
by Eugene Yan
Eugene Yan's review of LLM-evaluator (LLM-as-judge) research: use cases, techniques, alignment and critiques.
SberDevices blog on Habr
by SberDevices
SberDevices company blog on Habr with Russian-language technical posts on GigaChat models and evaluation.
Using LLM-as-a-Judge For Evaluation: A Complete Guide (Hamel Husain)
by Hamel Husain
Hamel Husain's guide to building an LLM judge and validating it against domain-expert labels.
HF blog: Hebrew leaderboard
by Hugging Face
Hugging Face blog source file announcing the Hebrew LLM leaderboard and its evaluation tasks.
AI Evals: Everything You Need to Know (Hamel Husain)
by Hamel Husain
Hamel Husain and Shreya Shankar's AI evals FAQ for engineers and PMs: testing AI systems, error analysis, RAG and agent evals.
Announcing Evals and Releases for Fin (Intercom)
by Intercom
Intercom post announcing Evals and Releases for its Fin support agent, for testing before, during and after launch.
Judging LLM-as-a-Judge (MT-Bench)
by Lianmin Zheng et al. (LMSYS, UC Berkeley)
arXiv paper (2023) on using strong LLMs as judges, with MT-Bench, Chatbot Arena and analysis of judge biases.
LangSmith docs: Evaluation concepts
by LangChain
LangSmith documentation source on evaluation concepts: datasets, evaluators, offline and online evals.
LiveBench paper
by Colin White et al. (Abacus.AI)
arXiv paper (2024) introducing LiveBench, a contamination-limited LLM benchmark with regularly refreshed questions.
Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity
arXiv paper (2025) by METR reporting a randomized trial of early-2025 AI tools' effect on experienced open-source developers' speed.
The Open Arabic LLM Leaderboard 2
by Hugging Face
Hugging Face post launching the Open Arabic LLM Leaderboard 2 with native Arabic benchmarks.
OECD AI Incidents Monitor
by OECD
OECD AI Incidents Monitor: database of AI incidents and hazards compiled from news reports.
Sarvam-M multilingual language model (Sarvam AI)
by Sarvam AI
Sarvam AI technical post on Sarvam-M, a hybrid reasoning model for Indian languages, with post-training and inference details.
W&B Weave documentation
by CoreWeave (Weights & Biases)
W&B Weave documentation, now hosted by CoreWeave: tracing, testing and evaluating LLM applications.
What We've Learned From A Year of Building with LLMs
by Eugene Yan, Bryan Bischof, Charles Frye, Hamel Husain, Jason Liu and Shreya Shankar
Applied LLMs guide by Yan, Bischof, Frye, Husain, Liu and Shankar: tactical, operational and strategic lessons from building LLM products.
ARC Prize 2025 Technical Report
by François Chollet et al. (ARC Prize Foundation)
arXiv paper (2026) ARC Prize 2025 technical report on ARC-AGI-2 results and winning approaches.
Benchmark-based assessment of Indian foundation models
by Avinash Agarwal and Vridhi Jain
arXiv paper (2026) comparing publicly benchmarked Indian foundation models across benchmarks.
C-Eval paper
by Yuzhen Huang et al. (Shanghai Jiao Tong University)
arXiv paper (2023) introducing C-Eval, a multi-level, multi-discipline Chinese evaluation suite for foundation models.
CLARIN-PT-LDB paper
by João Silva et al. (University of Lisbon)
arXiv paper (2026) introducing CLARIN-PT-LDB, an open LLM leaderboard for European Portuguese.