LLM Benchmarks Timeline: Difference between revisions
(→2019) |
(→2018) |
||
| Line 286: | Line 286: | ||
! Category | ! Category | ||
! Time Span | ! Time Span | ||
! Date Created | |||
! Date Defeated | |||
! Killed By | ! Killed By | ||
! Defeated By | ! Defeated By | ||
! Original Score | ! Original Score | ||
! Final Score | ! Final Score | ||
! Links | |||
! Details | ! Details | ||
|- | |- | ||
| '''SWAG''' | | '''SWAG''' | ||
| Common Sense | | Common Sense | ||
| 2018 – 2018 | | 2018-05 – 2018-10 | ||
| 2018-05 | |||
| 2018-10 | |||
| Saturation | | Saturation | ||
| BERT | | BERT | ||
| Human: 88% | | Human: 88% | ||
| BERT: 86% | | BERT: 86% | ||
| [Paper](https://arxiv.org/abs/1808.05326), [Website](https://rowanzellers.com/swag/) | |||
| 113K multiple-choice questions about grounded situations (common sense “next step”). | | 113K multiple-choice questions about grounded situations (common sense “next step”). | ||
|} | |} | ||
Revision as of 16:38, 10 January 2025
2024
| Benchmark | Category | Time Span | Date Created | Date Defeated | Killed By | Defeated By | Original Score | Final Score | Links | Details |
|---|---|---|---|---|---|---|---|---|---|---|
| ARC-AGI | Reasoning | 2019-11 – 2024-12 | 2019-11 | 2024-12 | Saturation | O3 | Human Baseline: ~80% | O3: 87.5% | [Paper](https://arxiv.org/abs/1911.01547), [Website](https://arcs-benchmark.org) | Abstract reasoning challenge with visual pattern completion tasks created by François Chollet. |
| MATH | Mathematics | 2021-03 – 2024-09 | 2021-03 | 2024-09 | Saturation | O1 | Average CS PhD: ~40% | O1: 94.8% | [Paper](https://arxiv.org/abs/2103.03874), [GitHub](https://github.com/hendrycks/math) | 12K challenging competition math problems from AMC/AIME, requiring complex multi-step reasoning. |
| BIG-Bench-Hard | Multi-task | 2022-10 – 2024-06 | 2022-10 | 2024-06 | Saturation | Sonnet 3.5 | Average Human: 67.7% | Sonnet 3.5: 93.1% | [Paper](https://arxiv.org/abs/2210.09261), [GitHub](https://github.com/suzgunmirac/BIG-Bench-Hard), [Evidence](https://assets.anthropic.com/m/1cd9d098ac3e6467/original/Claude-3-Model-Card-October-Addendum.pdf) | A curated suite of 23 challenging tasks from BIG-Bench. |
| HumanEval | Coding | 2021-07 – 2024-05 | 2021-07 | 2024-05 | Saturation | GPT-4o | Unspecified | GPT-4o: 90.2% | [Paper](https://arxiv.org/abs/2107.03374), [GitHub](https://github.com/openai/human-eval), [Evidence](https://openai.com/index/hello-gpt-4o/) | 164 Python programming problems testing coding abilities. |
| IFEval | Instruction Following | 2023-11 – 2024-03 | 2023-11 | 2024-03 | Saturation | LLama 3.3 70B | Unspecified | LLama 3.3 70B: 92.1% | [Paper](https://arxiv.org/abs/2311.07911), [GitHub](https://github.com/google-research/google-research/tree/master/instruction_following_eval), [Evidence](https://github.com/meta-llama/llama-models/blob/main/models/llama3_2/MODEL_CARD_VISION.md) | Evaluation suite testing multi-step instruction-following capabilities. |
2023
| Benchmark | Category | Time Span | Date Created | Date Defeated | Killed By | Defeated By | Original Score | Final Score | Links | Details |
|---|---|---|---|---|---|---|---|---|---|---|
| GSM8K | Mathematics | 2021-10 – 2023-11 | 2021-10 | 2023-11 | Saturation | GPT-4 | Unspecified | GPT-4: 92.0% | [Paper](https://arxiv.org/abs/2110.14168), [GitHub](https://github.com/openai/grade-school-math), [Evidence](https://cdn.openai.com/papers/gpt-4.pdf) | 8.5K grade school math word problems requiring step-by-step solutions. |
| Turing Test | Conversation | 1950-10 – 2023-03 | 1950-10 | 2023-03 | Saturation | GPT-4 | Interrogator > 50% | Interrogator 46% | [Paper](https://courses.cs.umbc.edu/471/papers/turing.pdf), [Evidence](https://arxiv.org/pdf/2405.08007) | The original AI benchmark proposed by Alan Turing in 1950 (the "imitation game"). |
| ARC (AI2) | Reasoning | 2018-03 – 2023-03 | 2018-03 | 2023-03 | Saturation | GPT-4 | Unspecified | GPT-4: 96.3% | [Paper](https://arxiv.org/abs/1803.05457), [Website](https://leaderboard.allenai.org/arc/submissions/get-started), [Evidence](https://cdn.openai.com/papers/gpt-4.pdf) | Grade-school multiple-choice reasoning tasks testing logical, spatial, temporal reasoning. |
| HellaSwag | Common Sense | 2019-05 – 2023-03 | 2019-05 | 2023-03 | Saturation | GPT-4 | Human: 95.6% | GPT-4: 95.3% | [Paper](https://arxiv.org/abs/1905.07830), [Website](https://rowanzellers.com/hellaswag/), [Evidence](https://cdn.openai.com/papers/gpt-4.pdf) | Multiple-choice questions about everyday scenarios with adversarial filtering. |
| MMLU | Knowledge | 2020-09 – 2023-03 | 2020-09 | 2023-03 | Saturation | GPT-4 | 95th pct Human: 87.0% | GPT-4: 87.3% | [Paper](https://arxiv.org/abs/2009.03300), [GitHub](https://github.com/hendrycks/test), [Evidence](https://cdn.openai.com/papers/gpt-4.pdf) | 57 subjects from real-world sources (professional exams) testing breadth and depth of knowledge. |
| WinoGrande | Common Sense | 2019-07 – 2023-03 | 2019-07 | 2023-03 | Saturation | GPT-4 | Human: 94% | GPT-4: 87.5% | [Paper](https://arxiv.org/abs/1907.10641), [Website](https://winogrande.allenai.org/), [Evidence](https://cdn.openai.com/papers/gpt-4.pdf) | Enhanced WSC with 44K problems testing common-sense pronoun resolution. |
Pre-2023
2022
| Benchmark | Category | Time Span | Date Created | Date Defeated | Killed By | Defeated By | Original Score | Final Score | Links | Details |
|---|---|---|---|---|---|---|---|---|---|---|
| BIG-Bench | Multi-task | 2021-06 – 2022-04 | 2021-06 | 2022-04 | Saturation | Palm 540B | Human: 49.8% | Palm 540B: 61.4% | [Paper](https://arxiv.org/abs/2206.04615), [GitHub](https://github.com/google/BIG-bench), [Evidence](https://arxiv.org/pdf/2204.02311) | 204 tasks spanning linguistics, math, common-sense reasoning, and more. |
2019
| Benchmark | Category | Time Span | Date Created | Date Defeated | Killed By | Defeated By | Original Score | Final Score | Links | Details |
|---|---|---|---|---|---|---|---|---|---|---|
| SuperGLUE | Language | 2019-05 – 2019-10 | 2019-05 | 2019-10 | Saturation | T5 | Human: 89.8% | T5: 89.3% | [Paper](https://arxiv.org/abs/1905.00537), [Website](https://super.gluebenchmark.com/) | More challenging language understanding tasks (word sense, causal reasoning, RC). |
| WSC | Common Sense | 2012-05 – 2019-07 | 2012-05 | 2019-07 | Saturation | ROBERTA (w SFT) | Human: 96.5% | ROBERTA (w SFT): 90.1% | [Paper](https://cdn.aaai.org/ocs/4492/4492-21843-1-PB.pdf), [Website](https://cs.nyu.edu/~davise/papers/WinogradSchemas/WS.html) | Carefully crafted sentence pairs with ambiguous pronoun references. |
| GLUE | Language | 2018-05 – 2019-06 | 2018-05 | 2019-06 | Saturation | XLNet | Human: 87.1% | XLNet: 88.4% | [Paper](https://arxiv.org/abs/1804.07461), [Website](https://gluebenchmark.com/) | Nine tasks for evaluating NLU (inference, paraphrase, similarity, etc.). |
| TriviaQA | Knowledge | 2017-05 – 2019-06 | 2017-05 | 2019-06 | Saturation | SpanBERT | Human: 79.7% | SpanBERT: 83.6% | [Paper](https://arxiv.org/abs/1705.03551), [Website](http://nlp.cs.washington.edu/triviaqa/) | 650K QA-evidence triples requiring cross-sentence reasoning. |
| SQuAD v2.0 | Language | 2018-05 – 2019-04 | 2018-05 | 2019-04 | Saturation | BERT | Human: 89.5% | BERT: 89.5% | [Paper](https://arxiv.org/abs/1806.03822), [Website](https://rajpurkar.github.io/SQuAD-explorer/) | Extension of SQuAD adding unanswerable questions. |
| SQuAD | Language | 2016-05 – 2019-03 | 2016-05 | 2019-03 | Saturation | BERT | Human: 91.2% | BERT: 93.2% | [Paper](https://arxiv.org/abs/1606.05250), [Website](https://rajpurkar.github.io/SQuAD-explorer/) | 100,000+ QA tasks on Wikipedia articles. |
2018
| Benchmark | Category | Time Span | Date Created | Date Defeated | Killed By | Defeated By | Original Score | Final Score | Links | Details |
|---|---|---|---|---|---|---|---|---|---|---|
| SWAG | Common Sense | 2018-05 – 2018-10 | 2018-05 | 2018-10 | Saturation | BERT | Human: 88% | BERT: 86% | [Paper](https://arxiv.org/abs/1808.05326), [Website](https://rowanzellers.com/swag/) | 113K multiple-choice questions about grounded situations (common sense “next step”). |