LLM Benchmarks Timeline

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Revision as of 16:26, 10 January 2025 by Alpha5 (talk | contribs) (Created page with "= LLM Benchmarks Timeline = A memorial to the benchmarks that defined—and were defeated by—AI progress === All Time === * [#2024 2024] * [#2023 2023] * [#pre-2023 Pre-2023] ---- == 2024 == === ARC-AGI (2019 - 2024) === ; Category : Reasoning ; Killed by : Saturation ; Details : Killed 1 month ago, Abstract reasoning challenge consisting of visual pattern completion tasks. Each task presents a sequence of abstract visual patterns and requires selecting the correct...")
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LLM Benchmarks Timeline

A memorial to the benchmarks that defined—and were defeated by—AI progress

All Time

  • [#2024 2024]
  • [#2023 2023]
  • [#pre-2023 Pre-2023]

2024

ARC-AGI (2019 - 2024)

Category
Reasoning
Killed by
Saturation
Details
Killed 1 month ago, Abstract reasoning challenge consisting of visual pattern completion tasks. Each task presents a sequence of abstract visual patterns and requires selecting the correct completion. Created by François Chollet as part of a broader investigation into measuring intelligence. It was 5 years and 1 month old.
Defeated by
O3
Original Score
Human Baseline: ~80%
Final Score
O3: 87.5%

MATH (2021 - 2024)

Category
Mathematics
Killed by
Saturation
Details
Killed 4 months ago, A dataset of 12K challenging competition mathematics problems from AMC, AIME, and other math competitions. Problems range from pre-algebra to olympiad-level and require complex multi-step reasoning. Each problem has a detailed solution that tests mathematical reasoning capabilities. It was 3 years and 6 months old.
Defeated by
O1
Original Score
Average CS PhD: ~40%
Final Score
O1: 94.8%

BIG-Bench-Hard (2022 - 2024)

Category
Multi-task
Killed by
Saturation
Details
Killed 7 months ago, A curated suite of 23 challenging tasks from BIG-Bench where language models initially performed below average human level. Selected to measure progress on particularly difficult capabilities. It was 1 year and 8 months old.
Defeated by
Sonnet 3.5
Original Score
Average Human: 67.7%
Final Score
Sonnet 3.5: 93.1%

HumanEval (2021 - 2024)

Category
Coding
Killed by
Saturation
Details
Killed 8 months ago, A collection of 164 Python programming problems designed to test language models' coding abilities. Each problem includes a function signature, docstring, and unit tests. Models must generate complete, correct function implementations that pass all test cases. It was 2 years and 10 months old.
Defeated by
GPT-4o
Original Score
Unspecified
Final Score
GPT-4o: 90.2%

IFEval (2023 - 2024)

Category
Instruction Following
Killed by
Saturation
Details
Killed 10 months ago, A comprehensive evaluation suite testing instruction following capabilities across coding, math, roleplay, and other tasks. Measures ability to handle complex multi-step instructions and constraints. It was 4 months old.
Defeated by
LLama 3.3 70B
Original Score
Unspecified
Final Score
LLama 3.3 70B: 92.1%

2023

GSM8K (2021 - 2023)

Category
Mathematics
Killed by
Saturation
Details
Killed 1 year ago, A collection of 8.5K grade school math word problems requiring step-by-step solutions. Problems test both numerical computation and natural language understanding through multi-step mathematical reasoning. It was 2 years and 1 month old.
Defeated by
GPT-4
Original Score
Unspecified
Final Score
GPT-4: 92.0%

Turing Test (1950 - 2023)

Category
Conversation
Killed by
Saturation
Details
Killed 1 year ago, The original AI benchmark proposed by Alan Turing in 1950. In this “imitation game,” a computer must convince human judges it is human through natural conversation. The test sparked decades of debate about machine intelligence and consciousness. It was 73 years and 5 months old.
Defeated by
GPT-4
Original Score
Interrogator > 50%
Final Score
Interrogator 46%

ARC (AI2) (2018 - 2023)

Category
Reasoning
Killed by
Saturation
Details
Killed 1 year ago, AI2 Reasoning Challenge (ARC) – A collection of grade-school level multiple-choice reasoning tasks testing logical deduction, spatial reasoning, and temporal reasoning. Each task requires applying abstract reasoning skills to solve multi-step problems. It was 5 years old.
Defeated by
GPT-4
Original Score
Unspecified
Final Score
GPT-4: 96.3%

HellaSwag (2019 - 2023)

Category
Common Sense
Killed by
Saturation
Details
Killed 1 year ago, A challenging dataset of multiple-choice questions about everyday scenarios. Uses adversarial filtering to test models' ability to understand and reason about real-world situations and their likely outcomes. It was 3 years and 10 months old.
Defeated by
GPT-4
Original Score
Human: 95.6%
Final Score
GPT-4: 95.3%

MMLU (2020 - 2023)

Category
Knowledge
Killed by
Saturation
Details
Killed 1 year ago, A comprehensive benchmark covering 57 subjects including mathematics, history, law, computer science, and more. Questions are drawn from real-world sources like professional exams to test both breadth and depth of knowledge across diverse academic domains. It was 2 years and 6 months old.
Defeated by
GPT-4
Original Score
95th pct Human: 87.0%
Final Score
GPT-4: 87.3%

WinoGrande (2019 - 2023)

Category
Common Sense
Killed by
Saturation
Details
Killed 1 year ago, An enhanced version of WSC with 44K problems testing common-sense reasoning through pronoun resolution. Uses adversarial filtering to ensure problems require real-world understanding. It was 3 years and 8 months old.
Defeated by
GPT-4
Original Score
Human: 94%
Final Score
GPT-4: 87.5%

Pre-2023

2022

BIG-Bench (2021 - 2022)

Category
Multi-task
Killed by
Saturation
Details
Killed 2 years ago, A collaborative collection of 204 tasks spanning linguistics, childhood development, math, common-sense reasoning, biology, physics, social bias, and software development. Tests diverse capabilities of language models. It was 10 months old.
Defeated by
Palm 540B
Original Score
Human: 49.8%
Final Score
Palm 540B: 61.4%

2019

SuperGLUE (2019 - 2019)

Category
Language
Killed by
Saturation
Details
Killed 5 years ago, A collection of more challenging language understanding tasks including word sense disambiguation, causal reasoning, and reading comprehension. Designed as a more difficult successor to GLUE. It was 5 months old.
Defeated by
T5
Original Score
Human: 89.8%
Final Score
T5: 89.3%

WSC (2012 - 2019)

Category
Common Sense
Killed by
Saturation
Details
Killed 5 years ago, A collection of carefully crafted sentence pairs with ambiguous pronoun references that resolve differently based on small changes. Designed to test genuine language understanding over statistical patterns. It was 7 years and 3 months old.
Defeated by
ROBERTA (w SFT)
Original Score
Human: 96.5%
Final Score
ROBERTA (w SFT): 90.1%

GLUE (2018 - 2019)

Category
Language
Killed by
Saturation
Details
Killed 5 years ago, A collection of nine tasks for evaluating natural language understanding, including single-sentence tasks, similarity and paraphrase tasks, and inference tasks. The primary NLU benchmark before SuperGLUE. It was 1 year and 1 month old.
Defeated by
XLNet
Original Score
Human: 87.1%
Final Score
XLNet: 88.4%

TriviaQA (2017 - 2019)

Category
Knowledge
Killed by
Saturation
Details
Killed 5 years ago, A large-scale dataset of 650K question-answer-evidence triples authored by trivia enthusiasts. Requires cross-sentence reasoning and synthesis of information from multiple sources. It was 2 years and 1 month old.
Defeated by
SpanBERT
Original Score
Human: 79.7%
Final Score
SpanBERT: 83.6%

SQuAD v2.0 (2018 - 2019)

Category
Language
Killed by
Saturation
Details
Killed 5 years ago, An extension of SQuAD that adds unanswerable questions. Models must both answer questions when possible and determine when no answer is supported by the passage. It was 11 months old.
Defeated by
BERT
Original Score
Human: 89.5%
Final Score
BERT: 89.5%

SQuAD (2016 - 2019)

Category
Language
Killed by
Saturation
Details
Killed 5 years ago, A reading comprehension dataset of 100,000+ questions posed by crowdworkers on Wikipedia articles. Answers must be text segments from the corresponding reading passage. It was 2 years and 10 months old.
Defeated by
BERT
Original Score
Human: 91.2%
Final Score
BERT: 93.2%

2018

SWAG (2018 - 2018)

Category
Common Sense
Killed by
Saturation
Details
Killed 6 years ago, A dataset of 113K multiple choice questions about grounded situations. Given a partial description of a situation, models must predict what happens next from 4 choices using common sense reasoning. It was 5 months old.
Defeated by
BERT
Original Score
Human: 88%
Final Score
BERT: 86%