Difference between revisions of "AI benchmarks"
KevinYager (talk | contribs) (→Assess Specific Attributes) |
KevinYager (talk | contribs) (→Assess Specific Attributes) |
||
| (6 intermediate revisions by the same user not shown) | |||
| Line 4: | Line 4: | ||
* [https://epoch.ai/ Epoch AI] | * [https://epoch.ai/ Epoch AI] | ||
** [https://epoch.ai/data/notable-ai-models Notable AI models] | ** [https://epoch.ai/data/notable-ai-models Notable AI models] | ||
| + | ** [https://epoch.ai/data/ai-benchmarking-dashboard AI benchmarking dashboard] | ||
| + | |||
| + | ==Lists of Benchmarks== | ||
| + | * 2025-05: [https://x.com/scaling01 Lisan al Gaib]: [https://x.com/scaling01/status/1919092778648408363 The Ultimate LLM Benchmark list] | ||
| + | ** [https://x.com/scaling01/status/1919217718420508782 Average across 28 benchmarks] | ||
| + | |||
| + | ==Analysis of Methods== | ||
| + | * 2025-04: [https://arxiv.org/abs/2504.20879 The Leaderboard Illusion] | ||
=Methods= | =Methods= | ||
| Line 33: | Line 41: | ||
==Math== | ==Math== | ||
* [https://www.vals.ai/benchmarks/aime-2025-03-13 AIME Benchmark] | * [https://www.vals.ai/benchmarks/aime-2025-03-13 AIME Benchmark] | ||
| + | |||
| + | ==Science== | ||
| + | * 2025-07: [https://allenai.org/blog/sciarena SciArena: A New Platform for Evaluating Foundation Models in Scientific Literature Tasks] ([https://sciarena.allen.ai/ vote], [https://huggingface.co/datasets/yale-nlp/SciArena data], [https://github.com/yale-nlp/SciArena code]) | ||
==Visual== | ==Visual== | ||
| Line 42: | Line 53: | ||
==Creativity== | ==Creativity== | ||
| + | * See also: [AI 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] | ||
* 2024-11: [https://openreview.net/pdf?id=fz969ahcvJ AidanBench: Evaluating Novel Idea Generation on Open-Ended Questions] ([https://github.com/aidanmclaughlin/AidanBench code]) | * 2024-11: [https://openreview.net/pdf?id=fz969ahcvJ AidanBench: Evaluating Novel Idea Generation on Open-Ended Questions] ([https://github.com/aidanmclaughlin/AidanBench code]) | ||
| Line 58: | Line 70: | ||
* [https://huggingface.co/spaces/smolagents/smolagents-leaderboard Smolagents LLM Leaderboard]: LLMs powering agents | * [https://huggingface.co/spaces/smolagents/smolagents-leaderboard Smolagents LLM Leaderboard]: LLMs powering agents | ||
* OpenAI [https://openai.com/index/paperbench/ PaperBench: Evaluating AI’s Ability to Replicate AI Research] ([https://cdn.openai.com/papers/22265bac-3191-44e5-b057-7aaacd8e90cd/paperbench.pdf paper], [https://github.com/openai/preparedness/tree/main/project/paperbench code]) | * OpenAI [https://openai.com/index/paperbench/ PaperBench: Evaluating AI’s Ability to Replicate AI Research] ([https://cdn.openai.com/papers/22265bac-3191-44e5-b057-7aaacd8e90cd/paperbench.pdf paper], [https://github.com/openai/preparedness/tree/main/project/paperbench code]) | ||
| + | * 2025-06: [https://arxiv.org/abs/2506.22419 The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements] | ||
==Science== | ==Science== | ||
See: [[Science_Agents#Science_Benchmarks|Science Benchmarks]] | See: [[Science_Agents#Science_Benchmarks|Science Benchmarks]] | ||
Latest revision as of 11:39, 1 July 2025
Contents
General
- Models Table (lifearchitect.ai)
- Artificial Analysis
- Epoch AI
Lists of Benchmarks
Analysis of Methods
- 2025-04: The Leaderboard Illusion
Methods
- AidanBench: Evaluating Novel Idea Generation on Open-Ended Questions (code)
- Leaderboard
- Suggestion to use Borda count
- 2025-04: add Quasar Alpha, Optimus Alpha, Llama-4 Scout and Llama-4 Maverick
- ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning. Assess reasoning using puzzles of tunable complexity.
Task Length
- 2020-09: Ajeya Cotra: Draft report on AI timelines
- 2025-03: Measuring AI Ability to Complete Long Tasks Measuring AI Ability to Complete Long Tasks
Assess Specific Attributes
Various
- LMSYS: Human preference ranking leaderboard
- Tracking AI: "IQ" leaderboard
- LiveBench: A Challenging, Contamination-Free LLM Benchmark
- LLM Thematic Generalization Benchmark
Hallucination
Software/Coding
Math
Science
- 2025-07: SciArena: A New Platform for Evaluating Foundation Models in Scientific Literature Tasks (vote, data, code)
Visual
- 2024-06: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs (preprint, leaderboard)
- 2025-03: Can Large Vision Language Models Read Maps Like a Human? MapBench
Conversation
- 2025-01: MultiChallenge: A Realistic Multi-Turn Conversation Evaluation Benchmark Challenging to Frontier LLMs (project, code, leaderboard)
Creativity
- See also: [AI creativity]
- 2024-10: AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text
- 2024-11: AidanBench: Evaluating Novel Idea Generation on Open-Ended Questions (code)
- 2024-12: LiveIdeaBench: Evaluating LLMs' Scientific Creativity and Idea Generation with Minimal Context
- LLM Creative Story-Writing Benchmark
Reasoning
- ENIGMAEVAL: "reasoning" leaderboard (paper)
- Sober Reasoning Leaderboard
Assistant/Agentic
- GAIA: a benchmark for General AI Assistants
- Galileo AI Agent Leaderboard
- Smolagents LLM Leaderboard: LLMs powering agents
- OpenAI PaperBench: Evaluating AI’s Ability to Replicate AI Research (paper, code)
- 2025-06: The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements
Science
See: Science Benchmarks
