Difference between revisions of "AI benchmarks"
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* [https://www.vectara.com/ Vectara] [https://github.com/vectara/hallucination-leaderboard Hallucination Leaderboard] | * [https://www.vectara.com/ Vectara] [https://github.com/vectara/hallucination-leaderboard Hallucination Leaderboard] | ||
* [https://livebench.ai/#/ LiveBench: A Challenging, Contamination-Free LLM Benchmark] | * [https://livebench.ai/#/ LiveBench: A Challenging, Contamination-Free LLM Benchmark] | ||
| − | * [https://scale.com/leaderboard/enigma_eval ENIGMAEVAL ([https://static.scale.com/uploads/654197dc94d34f66c0f5184e/EnigmaEval%20v4.pdf paper]) | + | * [https://scale.com/leaderboard/enigma_eval ENIGMAEVAL] ([https://static.scale.com/uploads/654197dc94d34f66c0f5184e/EnigmaEval%20v4.pdf paper]) |
| + | * [https://www.galileo.ai/blog/agent-leaderboard Galileo AI] [https://huggingface.co/spaces/galileo-ai/agent-leaderboard Agent Leaderboard] | ||
=Methods= | =Methods= | ||
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=Assess Specific Attributes= | =Assess Specific Attributes= | ||
| + | ==Software/Coding== | ||
| + | * 2025-02: [https://arxiv.org/abs/2502.12115SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?] ([https://github.com/openai/SWELancer-Benchmark code]) | ||
| + | |||
==Creativity== | ==Creativity== | ||
* 2024-10: [https://arxiv.org/abs/2410.04265 AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text] | * 2024-10: [https://arxiv.org/abs/2410.04265 AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text] | ||
Latest revision as of 12:59, 18 February 2025
Leaderboards
- LMSYS: Human preference ranking
- Tracking AI
- Vectara Hallucination Leaderboard
- LiveBench: A Challenging, Contamination-Free LLM Benchmark
- ENIGMAEVAL (paper)
- Galileo AI Agent Leaderboard
Methods
- AidanBench: Evaluating Novel Idea Generation on Open-Ended Questions (code)
- ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning. Assess reasoning using puzzles of tunable complexity.
