benchmarking-cultures-25 / core /benchmarks.csv
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benchmark_id,benchmark_name,benchmark_full_name,paper_id,paper_href,paper_published_at
agi-eval,AGIEval,,2304.06364,https://arxiv.org/abs/2304.06364,2023-04-13
ai2-arc,ARC,AI2 Reasoning Challenge,1803.05457,https://arxiv.org/abs/1803.05457,2018-03-14
ai2d,AI2D,AI2 Diagrams,1603.07396,https://arxiv.org/abs/1603.07396,2016-03-24
aider-polyglot,Aider Polyglot,,,,
aime-24,AIME 2024,American Invitational Mathematics Examination 2024,,,
aime-25,AIME 2025,American Invitational Mathematics Examination 2025,,,
aitz,Android In The Zoo,,2403.02713,https://arxiv.org/abs/2403.02713,2024-03-05
alpaca-eval,AlpacaEval,,2404.04475,https://arxiv.org/abs/2404.04475,2024-04-06
amc,AMC,American Mathematics Competitions,,,
android-control,Android Control,,2406.03679,https://arxiv.org/abs/2406.03679,2024-06-06
android-world,Android World,,2405.14573,https://arxiv.org/abs/2405.14573,2024-05-23
arc-agi-2,ARC-AGI-2,Abstraction and Reasoning Corpus 2,2505.11831,https://arxiv.org/abs/2505.11831,2025-05-17
arc-challenge,ARC-AGI-1,Abstraction and Reasoning Corpus,1911.01547,https://arxiv.org/abs/1911.01547,2019-11-05
arena-hard-auto,Arena-Hard-Auto,,2406.11939,https://arxiv.org/abs/2406.11939,2024-06-17
asdiv,ASDIV,Academia Sinica Diverse MWP Dataset,2106.15772,https://arxiv.org/abs/2106.15772,2021-06-30
basic-skills,Basic Skills,,,,
bbh,BigBenchHard,,2210.09261,https://arxiv.org/abs/2210.09261,2022-10-17
bcb,BigCodeBench,,2406.15877,https://arxiv.org/abs/2406.15877,2024-06-22
bfcl,BFCL,Berkeley Function-Calling Leaderboard,bfcl,,
bfcl-3,BFCL 3,Berkeley Function-Calling Leaderboard V3,bfcl-3,https://gorilla.cs.berkeley.edu/blogs/13_bfcl_v3_multi_turn.html,2024-09-19
bird-sql,Bird-SQL (Dev),,2305.03111,https://arxiv.org/abs/2305.03111,2023-05-04
blink,BLINK,,2404.12390,https://arxiv.org/abs/2404.12390,2024-04-18
browse-comp,BrowseComp,,2504.12516,https://arxiv.org/abs/2504.12516,2025-04-16
browse-comp-plus,BrowseComp-Plus,,2508.06600,https://arxiv.org/abs/2508.06600,2025-08-08
browse-comp-zh,BrowseComp-ZH,,2504.19314,https://arxiv.org/abs/2504.19314,2025-05-01
c-eval,C-Eval,,2305.08322,https://arxiv.org/abs/2305.08322,2023-05-15
c-math,CMath,,2306.16636,https://arxiv.org/abs/2306.16636,2023-06-29
c-simple-qa,ChineseSimpleQA,,2411.07140,https://arxiv.org/abs/2411.07140,2024-11-11
c3,C3,,2507.22968,https://arxiv.org/abs/2507.22968,2025-07-30
cc-bench,CCBench,,cc-bench,https://www.nature.com/articles/s41698-025-00916-7,2025-05-03
cc-ocr,CC-OCR,,2412.02210,https://arxiv.org/abs/2412.02210,2024-12-03
ccpm,CCPM,,2106.01979,https://arxiv.org/abs/2106.01979,2021-06-03
cfb,ComplexFuncBench,,2501.10132,https://arxiv.org/abs/2501.10132,2025-01-17
charades-sta,Charades-STA,,1705.02101,https://arxiv.org/abs/1705.02101,2017-05-05
chart-qa,ChartQA,,2203.10244,https://arxiv.org/abs/2203.10244,2022-03-19
charvix,CharXiv-Reasoning,,2406.18521,https://arxiv.org/abs/2406.18521,2024-06-26
chinese-word,Chinese Word,,2508.02324,https://arxiv.org/abs/2508.02324,2025-08-04
clasi,CLASI,,2407.21646,https://arxiv.org/abs/2407.21646,2024-07-31
clue-wsc,ClueWSC,,,,
cm17k,CM17K,,2107.01431,https://arxiv.org/abs/2107.01431,2021-07-03
cmmlu,CMMLU,,2306.09212,https://arxiv.org/abs/2306.09212,2023-06-15
cmrc,CMRC,Chinese Machine Reading Comprehension,cmrc,https://aclanthology.org/D19-1600/,2019-11-03
cmteb,Chinese MTEB,Chinese Massive Text Embedding Benchmark,2309.07597,https://arxiv.org/abs/2309.07597,2023-09-14
cnmo,CNMO,China National Mathematical Olympiad,,,
codeforces,Codeforces,,2501.01257,https://arxiv.org/abs/2501.01257,2025-01-02
collie,COLLIE,,2307.08689,https://arxiv.org/abs/2307.08689,2023-07-17
coqa,ConversationalQA,,1808.07042,https://arxiv.org/abs/1808.07042,2018-08-21
count-bench,CountBench,,2302.12066,https://arxiv.org/abs/2302.12066,2023-02-23
covost2,CoVoST2 (21 lang),,2002.01320,https://arxiv.org/abs/2002.01320,2020-02-04
creative-writing,Creative Writing,,creative-writing,https://github.com/EQ-bench/creative-writing-bench,2025-03-28
crux-eval,CRUXEval,,2401.03065,https://arxiv.org/abs/2401.03065,2024-01-05
cs-qa,CommonsenseQA,,1811.00937,https://arxiv.org/abs/1811.00937,2018-11-02
cv-15,Common Voice 15,,1912.06670,https://arxiv.org/abs/1912.06670,2019-12-13
cv-bench,CVBench,Cross Video Bench,2508.19542,https://arxiv.org/abs/2508.19542,2025-08-27
deepmind-math,Deepmind Math,,1904.01557,https://arxiv.org/abs/1904.01557,2019-04-02
deepseek-leetcode,DeepSeek Leetcode,,deepseek-leetcode,https://github.com/deepseek-ai/DeepSeek-Coder/commits/main/Evaluation/LeetCode,2024-01-26
doc-vqa,DocVQA,Document Visual Question Answering,2007.00398,https://arxiv.org/abs/2007.00398,2020-07-01
dpg,DPG Bench,Dense Prompt Graph Benchmark,2403.05135,https://arxiv.org/abs/2403.05135,2024-03-08
drop,DROP,Discrete Reasoning Over Paragraphs,1903.00161,https://arxiv.org/abs/1903.00161,2019-03-01
ds-1000,DS-1000,,2211.11501,https://arxiv.org/abs/2211.11501,2022-11-18
ego-schema,EgoSchema,,2308.09126,https://arxiv.org/abs/2308.09126,2023-08-17
eq-bench,EQ-Bench,,2312.06281,,
erqa,ERQA,,2503.20020,https://arxiv.org/abs/2503.20020,2025-03-25
eval-plus,EvalPlus,,2305.01210,https://arxiv.org/abs/2305.01210,2023-05-02
fact-score,FActScore,,2305.14251,https://arxiv.org/abs/2305.14251,2023-05-23
facts,FACTS Grounding,,2501.03200,https://arxiv.org/abs/2501.03200,2025-01-06
finance-agent,Finance Agent,,2508.00828,https://arxiv.org/abs/2508.00828,2025-05-20
fleurs,FLEURS,,2205.12446,https://arxiv.org/abs/2205.12446,2022-05-25
follow-ir,FollowIR,,2403.15246,https://arxiv.org/abs/2403.15246,2024-03-22
frames,FRAMES,"Factuality, Retrieval, And reasoning MEasurement Set",2409.12941,https://arxiv.org/abs/2409.12941,2024-09-19
frontier-math,FrontierMath,,2411.04872,https://arxiv.org/abs/2411.04872,2024-11-07
full-stack-bench,FullStackBench,,2412.00535,https://arxiv.org/abs/2412.00535,2024-11-30
gdp-val,GDPval,,2510.04374,https://arxiv.org/abs/2510.04374,2025-10-05
gedit-bench,GEdit Bench,,2504.17761,https://arxiv.org/abs/2504.17761,2025-04-24
gen-eval,GenEval,,2310.11513,https://arxiv.org/abs/2310.11513,2023-10-17
global-mmlu,Global MMLU (Lite),,2412.03304,https://arxiv.org/abs/2412.03304,2024-12-04
global-piqa,Global PIQA,,2510.24081,https://arxiv.org/abs/2510.24081,2025-10-28
gpqa-diamond,GPQA Diamond,"Graduate-Level Google-Proof
Q&A Benchmark Diamond",2311.12022,https://arxiv.org/abs/2311.12022,2023-11-20
gpqa-main,GPQA Main,"Graduate-Level Google-Proof
Q&A Benchmark Main",2311.12022,https://arxiv.org/abs/2311.12022,2023-11-20
gpqa-science,GPQA Science,"Graduate-Level Google-Proof
Q&A Benchmark Science",2311.12022,https://arxiv.org/abs/2311.12022,2023-11-20
graph-walks,GraphWalks,,graph-walks,https://openai.com/index/gpt-4-1/,2025-04-14
gsm-symbolic,GSM Symbolic,,2410.05229,https://arxiv.org/abs/2410.05229,2024-10-07
gsm8k,GSM8k,,2110.14168,https://arxiv.org/abs/2110.14168,2021-10-27
gso,GSO,,2505.23671,https://arxiv.org/abs/2505.23671,2025-05-29
gtzan,GTZAN,,,,
hallusion-bench,HallusionBench,,2310.14566,https://arxiv.org/abs/2310.14566,2023-10-23
health-bench-hard,HealthBench Hard,,2505.08775,https://arxiv.org/abs/2505.08775,2025-05-13
heatlh-bench,HealthBench,,2505.08775,https://arxiv.org/abs/2505.08775,2025-05-13
hellaswag,HellaSwag,,1905.07830,https://arxiv.org/abs/1905.07830,2019-05-19
hidden-math,HiddenMath,,,,
hle,Humanity's Last Exam,,2501.14249,https://arxiv.org/abs/2501.14249,2025-01-24
hmmt,HMMT 2025,,,,
hr-bench,HR-Bench,,2408.15556,https://arxiv.org/abs/2408.15556,2024-08-28
human-eval,HumanEval,,2107.03374,https://arxiv.org/abs/2107.03374,2021-07-07
human-eval-plus,HumanEval+,,2305.01210,https://arxiv.org/abs/2305.01210,2023-05-02
if-bench,IF Bench,,2507.02833,https://arxiv.org/abs/2507.02833,2025-07-03
if-eval,IF Eval,,2311.07911,https://arxiv.org/abs/2311.07911,2023-11-14
img-edit,ImgEdit,,2505.20275,https://arxiv.org/abs/2505.20275,2025-05-26
imo-answer-bench,IMOAnswerBench,,2511.01846,https://arxiv.org/abs/2511.01846,2025-11-03
include,INCLUDE,,2411.19799,https://arxiv.org/abs/2411.19799,2024-11-29
info-vqa,Info VQA,,2104.12756,https://arxiv.org/abs/2104.12756,2021-04-26
jeopardy,Jeopardy,,,,
lambada,Lambada,,1606.06031,https://arxiv.org/abs/1606.06031,2016-06-20
lbpp,Less Basic Python Problems,,2407.07565,https://arxiv.org/abs/2407.07565,2024-07-10
lcb,LiveCodeBench,,2403.07974,https://arxiv.org/abs/2403.07974,2024-03-12
lcb-pro,LiveCodeBench Pro,,2506.11928,https://arxiv.org/abs/2506.11928,2025-06-13
libri-speech,LibriSpeech,,libri-speech,https://ieeexplore.ieee.org/document/7178964,2015-04-19
lit-qa,LitQA,,2409.13740,https://arxiv.org/abs/2409.13740,2024-09-10
live-bench,LiveBench,,2406.19314,https://arxiv.org/abs/2406.19314,2024-06-27
lmarena,LMArena,,,,
loft,LOFT,,2406.13121,https://arxiv.org/abs/2406.13121,2024-06-19
long-align,LongAlign,,2401.18058,https://arxiv.org/abs/2401.18058,2024-01-31
long-bench-2,LongBench 2,,2412.15204,https://arxiv.org/abs/2412.15204,2024-12-19
long-fact,LongFact,,2403.18802,https://arxiv.org/abs/2403.18802,2024-03-27
long-video-bench,LongVideoBench,,2407.15754,https://arxiv.org/abs/2407.15754,2024-07-22
ltb,LongTextBench,,2507.22058,https://arxiv.org/abs/2507.22058,2025-07-29
lv-bench,LVBench,,2406.08035,https://arxiv.org/abs/2406.08035,2024-06-12
lv-eval,LVEval,,2402.05136,https://arxiv.org/abs/2402.05136,2024-02-06
math,MATH,,2103.03874,https://arxiv.org/abs/2103.03874,2021-03-05
math-500,MATH-500,,2305.20050,https://arxiv.org/abs/2305.20050,2023-05-31
math-arena-apex,MathArena Apex,,,,
math-instruct,MathInstruct,,2309.05653,https://arxiv.org/abs/2309.05653,2023-09-11
math-qa,MathQA,,1905.13319,https://arxiv.org/abs/1905.13319,2019-05-30
math-v,MATH-Vision,,2402.14804,https://arxiv.org/abs/2402.14804,2024-02-22
math-verse,MathVerse,,2403.14624,https://arxiv.org/abs/2403.14624,2024-03-21
math-vista,MathVista,,2310.02255,https://arxiv.org/abs/2310.02255,2023-10-03
mbpp,MBPP,Mostly Basic Python Problems Dataset,2108.07732,https://arxiv.org/abs/2108.07732,2021-08-16
mbpp-plus,MBPP+,,,,
mcp-atlas,MCP Atlas,,mcp-atlas,https://github.com/scaleapi/mcp-atlas,2025-12-03
mcp-mark,MCP Mark,,2509.24002,https://arxiv.org/abs/2509.24002,2025-09-28
mcp-universe,MCP Universe,,2508.14704,https://arxiv.org/abs/2508.14704,2025-08-20
med-mc-qa,MedMCQA,Multi-Choice Dataset for Medical domain Question Answering,2203.14371,https://arxiv.org/abs/2203.14371,2022-03-27
med-qa,MedQA,,2009.13081,https://arxiv.org/abs/2009.13081,2020-09-28
mega-bench,MEGA-Bench,,2410.10563,https://arxiv.org/abs/2410.10563,2024-10-14
mgsm,MGSM,Multilingual Grade School Math Benchmark,2210.03057,https://arxiv.org/abs/2210.03057,2022-10-06
mini-f2f,MiniF2F,,2109.00110,https://arxiv.org/abs/2109.00110,2021-08-31
mini-max,MiniMax,,2505.07916,https://arxiv.org/abs/2505.07916,2025-05-12
mir-1k,MIR-1K,Multimedia Information Retrieval 1K,mir-1k,https://zenodo.org/records/3532216,2019-11-08
mldr,MLDR,Multi-lingual Long-Doc Retrieval,2402.03216,https://arxiv.org/abs/2402.03216,2024-02-05
mlvu,MLVU,Multi-task Long Video Understanding Benchmark,2406.04264,https://arxiv.org/abs/2406.04264,2024-06-06
mm-bench,MMBench,,2307.06281,https://arxiv.org/abs/2307.06281,2023-07-12
mm-bench-v,MMBench-Video,,2406.14515,https://arxiv.org/abs/2406.14515,2024-06-20
mm-mt-bench,MM-MT-Bench,Multimodal Multiturn Benchmark,2410.07073,https://arxiv.org/abs/2410.07073,2024-10-09
mm-star,MMStar,,2403.20330,https://arxiv.org/abs/2403.20330,2024-03-29
mmau,MMAU,Massive Multi-Task Audio Understanding and Reasoning Benchmark,2410.19168,https://arxiv.org/abs/2410.19168,2024-10-24
mmcu,MMCU,Measuring Massive Multitask Chinese Understanding,2304.12986,https://arxiv.org/abs/2304.12986,2023-04-25
mmlu,MMLU,Measuring Massive Multitask Language Understanding,2009.03300,https://arxiv.org/abs/2009.03300,2020-09-07
mmlu-pro,MMLU-Pro,Measuring Massive Multitask Language Understanding Pro,2406.01574,https://arxiv.org/abs/2406.01574,2024-06-03
mmlu-pro-x,MMLU-ProX,Measuring Massive Multitask Language Understanding ProX,2503.10497,https://arxiv.org/abs/2503.10497,2025-03-13
mmlu-redux,MMLU-Redux,Measuring Massive Multitask Language Understanding Redux,2406.04127,https://arxiv.org/abs/2406.04127,2024-06-06
mmmlu,MMMLU,Multilingual Massive Multitask Language Understanding,mmmlu,https://huggingface.co/datasets/openai/MMMLU,2024-09-13
mmmu,MMMU,Massive Multi-discipline Multimodal Understanding,2311.16502,https://arxiv.org/abs/2311.16502,2023-11-27
mmmu-pro,MMMU-Pro,Massive Multi-discipline Multimodal Understanding Pro,2409.02813,https://arxiv.org/abs/2409.02813,2024-09-04
mmteb,MMTEB,Massive Multilingual Text Embedding Benchmark,2502.13595,https://arxiv.org/abs/2502.13595,2025-02-19
mrcr,MRCR,Multi-round co-reference resolution,2409.12640,https://arxiv.org/abs/2409.12640,2024-09-19
mt-bench,MTBench,Multimodal Time Series Benchmark,2503.16858,https://arxiv.org/abs/2503.16858,2025-03-21
mteb,MTEB,Massive Text Embedding Benchmark,2210.07316,https://arxiv.org/abs/2210.07316,2022-10-13
mtob,MTOB,Machine Translation from One Book,2309.16575,https://arxiv.org/abs/2309.16575,2023-09-28
mu-cho-music,MuChoMusic,Multiple-choice Music,2408.01337,https://arxiv.org/abs/2408.01337,2024-08-02
multi-challenge,MultiChallenge,,2501.17399,https://arxiv.org/abs/2501.17399,2025-01-29
multi-domain,MultiDomain,,,,
multi-if,Multi-If,,2410.15553,https://arxiv.org/abs/2410.15553,2024-10-21
multi-pl-e,MultiPL-E,,2208.08227,https://arxiv.org/abs/2208.08227,2022-08-17
musr,MuSR,Multistep soft reasoning,2310.16049,https://arxiv.org/abs/2310.16049,2023-10-24
mv-bench,MVBench,Multi-modal Video Understanding Benchmark,2311.17005,https://arxiv.org/abs/2311.17005,2023-11-28
natural-questions,Natural Questions,,natural-questions,https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00276/43518,2019-08-01
ocr-bench,OCRBench v1/v2,,2501.00321,https://arxiv.org/abs/2501.00321,2024-12-31
olympic-arena,OlympicArena,,2406.12753,https://arxiv.org/abs/2406.12753,2024-06-18
omega,OMEGA,Out-of-distribution Math Problems Evaluation with 3 Generalization Axes,2506.18880,https://arxiv.org/abs/2506.18880,2025-06-23
omni,OmniBench,,2409.15272,https://arxiv.org/abs/2409.15272,2024-09-23
omni-doc-bench,OmniDocBench,,2412.07626,https://arxiv.org/abs/2412.07626,2024-12-10
one-ig-bench,OneIG Bench,,2506.07977,https://arxiv.org/abs/2506.07977,2025-06-09
openai-mrcr,OpenAI MRCR,OpenAI Multi-round co-reference resolution,openai-mrcr,https://huggingface.co/datasets/openai/mrcr,2025-04-12
os-world,OSWorld,,2404.07972,https://arxiv.org/abs/2404.07972,2024-04-11
pile-test,The Pile BPB,The Pile Bits per Byte,2101.00027,https://arxiv.org/abs/2101.00027,2020-12-31
piqa,PIQA,Physical Interaction: Question Answering,1911.11641,https://arxiv.org/abs/1911.11641,2019-11-26
pop-qa,PopQA,,2212.10511,https://arxiv.org/abs/2212.10511,2022-12-20
prover-bench,ProverBench,,2504.21801,https://arxiv.org/abs/2504.21801,2025-04-30
putnam-bench,PutnamBench,,2407.11214,https://arxiv.org/abs/2407.11214,2024-07-15
race,RACE,"Readability, mAintainability, Correctness, and Efficiency Benchmark",2407.11470,https://arxiv.org/abs/2407.11470,2024-07-16
real-world-qa,RealWorldQA,,real-world-qa,https://x.ai/news/grok-1.5v,2024-04-12
research-eval,Reka ResearchEval,,research-eval,https://reka.ai/news/introducing-research-eval-a-benchmark-for-search-augmented-llms,2025-08-28
ruler,RULER,,2404.06654,https://arxiv.org/abs/2404.06654,2024-04-09
sci-code,SciCode,,2407.13168,https://arxiv.org/abs/2407.13168,2024-07-18
sci-q,SciQ,,1707.06209,https://arxiv.org/abs/1707.06209,2017-07-19
screen-spot,ScreenSpot,,2401.10935,https://arxiv.org/abs/2401.10935,2024-01-17
screen-spot-pro,ScreenSpot Pro,,2504.07981,https://arxiv.org/abs/2504.07981,2025-04-04
seed-tts-eval,seed-tts-eval,,2406.02430,https://arxiv.org/abs/2406.02430,2024-06-04
sifo,SIFo,Sequential Instruction Following,2406.19999,https://arxiv.org/abs/2406.19999,2024-06-28
simple-qa,SimpleQA,,2411.04368,https://arxiv.org/abs/2411.04368,2024-11-07
simple-vqa,SimpleVQA,,2502.13059,https://arxiv.org/abs/2502.13059,2025-02-18
social-qa,Social Interaction QA,,1904.09728,https://arxiv.org/abs/1904.09728,2019-04-22
squad,SQuAD,Stanford Question Answering Dataset,1606.05250,https://arxiv.org/abs/1606.05250,2016-06-16
super-gpqa,SuperGPQA,,2502.14739,https://arxiv.org/abs/2502.14739,2025-02-20
svamp,SVAMP,Simple Variations on Arithmetic Math word Problems,2103.07191,https://arxiv.org/abs/2103.07191,2021-03-12
swe-bench-multilingual,SWE-bench Multilingual,,swe-bench-multilingual,https://kabirk.com/multilingual,2025-05-06
swe-bench-pro,SWE-Bench Pro,,2509.16941,https://arxiv.org/abs/2509.16941,2025-09-21
swe-bench-verified,SWE-bench Verified,,swe-bench-verified,https://openai.com/index/introducing-swe-bench-verified/,2025-02-24
swe-lancer-diamond,SWE-Lancer Diamond,,2502.12115,https://arxiv.org/abs/2502.12115,2025-02-17
sysbench,Sysbench,,2408.10943,https://arxiv.org/abs/2408.10943,2024-08-20
table-vqa,TableVQA,,2510.07098,https://arxiv.org/abs/2510.07098,2025-10-08
tau-bench,TAU bench,Tool-Agent-User Benchmark,2406.12045,https://arxiv.org/abs/2406.12045,2024-06-17
tau2-bench,Tau2-bench,Tool-Agent-User Benchmark 2,2506.07982,https://arxiv.org/abs/2506.07982,2025-06-09
temp-compass,TempCompass,,2403.00476,https://arxiv.org/abs/2403.00476,2024-03-01
terminal-bench,Terminal-bench,,terminal-bench,https://www.tbench.ai/news/announcement,2025-05-19
text-craft,TextCrafter,,2503.23461,https://arxiv.org/abs/2503.23461,2025-03-30
tool-decathlon,Tool Decathlon,,2510.25726,https://arxiv.org/abs/2510.25726,2025-10-29
trivia-qa,TriviaQA,,1705.03551,https://arxiv.org/abs/1705.03551,2017-05-09
truth-qa,TruthfulQA,,2109.07958,https://arxiv.org/abs/2109.07958,2021-09-08
usamo-25,USAMO 2025,,2503.21934,https://arxiv.org/abs/2503.21934,2025-03-27
vending-bench,Vending Bench,,2502.15840,https://arxiv.org/abs/2502.15840,2025-02-20
vending-bench-2,Vending Bench 2,,vending-bench-2,https://x.com/andonlabs/status/1990810934307106849,2025-11-18
vibe-eval,Vibe-Eval (Reka),,2405.02287,https://arxiv.org/abs/2405.02287,2024-05-03
video-mme,VideoMME,,2405.21075,https://arxiv.org/abs/2405.21075,2024-05-31
video-mmmu,VideoMMMU,,2501.13826,https://arxiv.org/abs/2501.13826,2025-01-23
visu-logic,Visulogic,,2504.15279,https://arxiv.org/abs/2504.15279,2025-04-21
visual-probe,Visual Probe,,2509.07969,https://arxiv.org/abs/2509.07969,2025-09-09
visual-puzzles,Visual Puzzles,,2504.10342,https://arxiv.org/abs/2504.10342,2025-04-14
vlms-blind,VLMS Are Blind,,2407.06581,https://arxiv.org/abs/2407.06581,2024-07-09
voice-bench,VoiceBench,,2410.17196,https://arxiv.org/abs/2410.17196,2024-10-22
vstar,V*,,2312.14135,https://arxiv.org/abs/2312.14135,2023-12-21
wenet-speech,WenetSpeech,,2110.03370,https://arxiv.org/abs/2110.03370,2021-10-07
wild-bench,WildBench,,2406.04770,https://arxiv.org/abs/2406.04770,2024-06-07
winogrande,Winogrande,,1907.10641,https://arxiv.org/abs/1907.10641,2019-07-24
wmt-24,WMT24,,,,
world-sense,WorldSense,,2502.04326,https://arxiv.org/abs/2502.04326,2025-02-06
writing-bench,WritingBench,,2503.05244,https://arxiv.org/abs/2503.05244,2025-03-07
x-browse,X Browse,,x-browse,https://x.ai/news/grok-4-fast,2025-09-19
xbench-deepsearch,XBench Deepsearch,,2506.13651,https://arxiv.org/abs/2506.13651,2025-06-16
zebra-logic,ZebraLogic,,2502.01100,https://arxiv.org/abs/2502.01100,2025-02-03
zero-bench,ZeroBench (sub),,2502.09696,https://arxiv.org/abs/2502.09696,2025-02-13