Datasets:
nlile
/
math_benchmark_test_saturation

Dataset card Data Studio Files Community
1
rank
int64
1
112
model
stringlengths
5
65
accuracy
float64
10.6
89.7
parameters
float64
1.5
540
⌀
extra_training_data
stringclasses
2 values
paper
stringlengths
0
110
code
stringclasses
3 values
result
stringclasses
3 values
year
int64
2.02k
2.02k
tags
listlengths
0
3
1
Gemini 2.0 Flash Experimental
89.7
null
No
No
No
2,024
[]
2
Qwen2.5-Math-72B-Instruct (TIR,Greedy)
88.1
72
Yes
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
No
Yes
2,024
[]
3
GPT-4 Turbo (MACM, w/code, voting)
87.92
null
No
MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems
Yes
Yes
2,024
[ "code environment", "majority voting", "multi-agent" ]
4
Qwen2.5-Math-72B-Instruct (COT,Greedy)
85.9
72
Yes
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
No
Yes
2,024
[]
5
Qwen2.5-Math-7B-Instruct (TIR,Greedy)
85.2
7
Yes
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
No
Yes
2,024
[]
6
GPT-4-code model (CSV, w/ code, SC, k=16)
84.3
null
No
Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification
Yes
Yes
2,023
[ "multi-agent", "majority voting", "code environment" ]
7
Qwen2-Math-72B-Instruct (greedy)
84
72
Yes
Qwen2 Technical Report
Yes
Yes
2,024
[]
8
Qwen2.5-Math-7B-Instruct (COT,Greedy)
83.6
7
Yes
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
No
Yes
2,024
[]
9
Qwen2.5-Math-1.5B-Instruct (TIR,Greedy)
79.9
1.5
Yes
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
No
Yes
2,024
[]
10
OpenMath2-Llama3.1-70B (majority@256)
79.6
null
Yes
OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data
Yes
Yes
2,024
[]
11
OpenMath2-Llama3.1-8B (majority@256)
76.1
null
Yes
OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data
Yes
Yes
2,024
[]
12
Qwen2.5-Math-1.5B-Instruct (COT,Greedy)
75.8
1.5
Yes
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
No
Yes
2,024
[]
13
GPT-4-code model (CSV, w/ code)
73.5
null
No
Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification
Yes
Yes
2,023
[ "code environment" ]
14
CR (GPT-4-turbo model, w/ code)
72.2
null
No
Cumulative Reasoning with Large Language Models
Yes
Yes
2,023
[ "code environment" ]
15
OpenMath2-Llama3.1-70B
71.9
null
Yes
OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data
Yes
Yes
2,024
[]
16
LogicNet (with code interpreter)
71.2
null
Yes
Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification
Yes
Yes
2,023
[]
17
Qwen2-72B-Instruct-Step-DPO (0-shot CoT, w/o code)
70.8
null
Yes
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs
Yes
Yes
2,024
[]
18
GPT-4-code model (w/ code)
69.7
null
No
Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification
Yes
Yes
2,023
[ "code environment" ]
19
OpenMath2-Llama3.1-8B
67.8
null
Yes
OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data
Yes
Yes
2,024
[]
20
AlphaMath-7B-SBS@3
66.3
null
No
AlphaMath Almost Zero: Process Supervision without Process
Yes
Yes
2,024
[ "code environment" ]
21
Minerva 62B (maj5@256)
64.9
62
No
Solving Quantitative Reasoning Problems with Language Models
Yes
Yes
2,022
[]
22
DAMOMath-7B
64.5
7
Yes
2,024
[]
23
MMOS-DeepSeekMath-7B (0-shot,k=50)
63.7
7
Yes
An Empirical Study of Data Ability Boundary in LLMs' Math Reasoning
Yes
Yes
2,024
[ "code environment", "zero-shot", "majority voting" ]
24
GPT-4-code model (w/o code)
60.8
null
No
Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification
Yes
Yes
2,023
[]
25
OpenMath-CodeLlama-70B (w/ code, SC, k=50)
60.4
70
Yes
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
Yes
Yes
2,024
[ "code environment", "majority voting" ]
26
OpenMath-CodeLlama-34B (w/ code, SC, k=50)
60.2
34
Yes
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
Yes
Yes
2,024
[ "code environment", "majority voting" ]
27
ToRA-Code 34B model (w/ code, SC, k=50)
60
34
Yes
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
Yes
Yes
2,023
[ "majority voting", "code environment", "gpt-4 distillation" ]
28
DeepSeekMATH-RL-7B (w/ code, greedy decoding)
58.8
7
Yes
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Yes
Yes
2,024
[]
29
OpenMath-Llama2-70B (w/ code, SC, k=50)
58.3
70
Yes
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
Yes
Yes
2,024
[ "code environment", "majority voting" ]
30
CR (GPT-4 model, w/o code)
58
null
No
Cumulative Reasoning with Large Language Models
Yes
Yes
2,023
[]
31
OpenMath-CodeLlama-13B (w/ code, SC, k=50)
57.6
13
Yes
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
Yes
Yes
2,024
[ "code environment", "majority voting" ]
32
OpenMath-Mistral-7B (w/ code, SC, k=50)
57.2
7
Yes
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
Yes
Yes
2,024
[ "code environment", "majority voting" ]
33
ToRA 70B (w/ code, SC, k=50)
56.9
70
Yes
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
Yes
Yes
2,023
[ "majority voting", "code environment", "gpt-4 distillation" ]
34
SKiC (GPT-4 model)
56.4
null
No
Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models
No
Yes
2,023
[ "code environment" ]
35
DART-Math-Llama3-70B-Prop2Diff (0-shot CoT, w/o code)
56.1
70
Yes
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
Yes
Yes
2,024
[]
36
OpenMath-CodeLlama-7B (w/ code, SC, k=50)
55.6
7
Yes
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
Yes
Yes
2,024
[ "code environment", "majority voting" ]
37
MMOS-DeepSeekMath-7B (0-shot)
55
7
Yes
An Empirical Study of Data Ability Boundary in LLMs' Math Reasoning
Yes
Yes
2,024
[]
38
DART-Math-Llama3-70B-Uniform (0-shot CoT, w/o code)
54.9
70
Yes
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
Yes
Yes
2,024
[]
39
PHP (GPT-4 model)
53.9
null
No
Progressive-Hint Prompting Improves Reasoning in Large Language Models
Yes
Yes
2,023
[]
40
DART-Math-DSMath-7B-Prop2Diff (0-shot CoT, w/o code)
53.6
7
Yes
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
Yes
Yes
2,024
[]
41
Gemini Ultra (4-shot)
53.2
null
No
Gemini: A Family of Highly Capable Multimodal Models
Yes
Yes
2,023
[]
42
DART-Math-DSMath-7B-Uniform (0-shot CoT, w/o code)
52.9
7
Yes
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
Yes
Yes
2,024
[]
43
GPT-4 model (w/ code, PAL)
51.8
null
No
PAL: Program-aided Language Models
Yes
Yes
2,022
[ "code environment" ]
44
DeepSeekMATH-RL-7B (greedy decoding)
51.7
7
Yes
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Yes
Yes
2,024
[]
45
AlphaLLM (with MCTS)
51
null
No
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
Yes
Yes
2,024
[]
46
ToRA-Code 34B (w/ code)
50.8
34
Yes
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
Yes
Yes
2,023
[ "code environment", "gpt-4 distillation" ]
47
OpenMath-CodeLlama-70B (w/ code)
50.7
70
Yes
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
Yes
No
2,024
[ "code environment" ]
48
Minerva 540B (maj1@k, k=64)
50.3
null
No
Solving Quantitative Reasoning Problems with Language Models
Yes
Yes
2,022
[ "majority voting" ]
49
ToRA 70B (w/ code)
49.7
70
Yes
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
Yes
Yes
2,023
[ "code environment", "gpt-4 distillation" ]
50
MMOS-CODE-34B (0-shot)
49.5
34
Yes
An Empirical Study of Data Ability Boundary in LLMs' Math Reasoning
Yes
Yes
2,024
[]
51
DeepSeekMath-7B-KPMath-Plus
48.8
7
No
Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning
2,024
[]
52
PaLM 2 (few-shot, k=4, SC)
48.8
null
No
PaLM 2 Technical Report
Yes
No
2,023
[ "majority voting" ]
53
Llemma-34B-KPMath-Plus
48.6
34
No
Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning
2,024
[]
54
OpenMath-CodeLlama-34B (w/ code)
48.3
34
Yes
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
Yes
Yes
2,024
[ "code environment" ]
55
Shepherd + DeepSeek-67B (SFT on MetaMATH + PRM rerank, k=256)
48.1
67
Yes
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations
Yes
No
2,023
[ "rerank" ]
56
ToRA-Code 13B (w/ code)
48.1
13
Yes
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
Yes
Yes
2,023
[ "code environment", "gpt-4 distillation" ]
57
Minerva 8B (maj5@256)
47.6
8
No
Solving Quantitative Reasoning Problems with Language Models
Yes
Yes
2,022
[]
58
Mistral-7B-KPMath-Plus
46.8
7
Yes
Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning
2,024
[]
59
DART-Math-Llama3-8B-Prop2Diff (0-shot CoT, w/o code)
46.6
8
Yes
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
Yes
Yes
2,024
[]
60
OpenMath-Llama2-70B (w/ code)
46.3
70
Yes
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
Yes
No
2,024
[]
61
OpenMath-CodeLlama-13B (w/ code)
45.5
13
Yes
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
Yes
No
2,024
[]
62
DART-Math-Mistral-7B-Prop2Diff (0-shot CoT, w/o code)
45.5
7
Yes
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
No
Yes
2,024
[]
63
DART-Math-Llama3-8B-Uniform (0-shot CoT, w/o code)
45.3
8
Yes
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
Yes
Yes
2,024
[]
64
MathCoder-CL-34B
45.2
34
Yes
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
Yes
No
2,023
[]
65
MathCoder-L-34B
45.1
34
Yes
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
Yes
No
2,023
[]
66
MMIQC-72B
45
72
Yes
Augmenting Math Word Problems via Iterative Question Composing
Yes
Yes
2,024
[]
67
ToRA-Code 7B (w/ code)
44.6
7
Yes
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
Yes
Yes
2,023
[ "code environment", "gpt-4 distillation" ]
68
OpenMath-Mistral-7B (w/ code)
44.5
7
Yes
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
Yes
No
2,024
[]
69
MMOS-CODE-7B (0-shot)
44.3
7
Yes
An Empirical Study of Data Ability Boundary in LLMs' Math Reasoning
Yes
Yes
2,024
[]
70
OpenMath-CodeLlama-7B (w/ code)
43.6
7
Yes
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
Yes
No
2,024
[]
71
Shepherd+Mistral-7B (SFT on MetaMATH + PRM RL+ PRM rerank, k=256)
43.5
7
Yes
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations
Yes
No
2,023
[ "rerank" ]
72
DART-Math-Mistral-7B-Uniform (0-shot CoT, w/o code)
43.5
7
Yes
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
Yes
Yes
2,024
[]
73
Minerva 62B (maj1@k, k=64)
43.4
62
No
Solving Quantitative Reasoning Problems with Language Models
Yes
Yes
2,022
[ "majority voting" ]
74
ToRA 13B (w/ code)
43
13
Yes
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
Yes
Yes
2,023
[ "code environment", "gpt-4 distillation" ]
75
GPT-4
42.5
null
No
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Yes
Yes
2,023
[]
76
SFT-Mistral-7B
41.8
7
Yes
2,024
[]
77
Llama2-13B-KPMath-Plus
41
13
No
Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning
2,024
[]
78
ToRA 7B (w/ code)
40.1
7
Yes
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
Yes
Yes
2,023
[ "code environment", "gpt-4 distillation" ]
79
MathCoder-CL-13B
35.9
13
Yes
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
Yes
No
2,023
[]
80
MuggleMATH-70B
35.6
70
Yes
MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning
Yes
No
2,023
[]
81
PaLM 2 (few-shot, k=4, CoT)
34.3
null
No
PaLM 2 Technical Report
Yes
No
2,023
[]
82
Minerva 540B
33.6
540
No
Solving Quantitative Reasoning Problems with Language Models
Yes
No
2,022
[]
83
Minerva 540B (5-shot)
33.6
540
No
Galactica: A Large Language Model for Science
Yes
No
2,022
[]
84
Shepherd + Mistral-7B (SFT on MetaMATH + PRM RL)
33
7
Yes
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations
Yes
No
2,023
[]
85
WizardMath-7B-V1.1
33
7
Yes
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
Yes
No
2,023
[]
86
Gemini Pro (4-shot)
32.6
null
No
Gemini: A Family of Highly Capable Multimodal Models
Yes
Yes
2,023
[]
87
MuggleMATH-13B
30.7
13
Yes
MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning
Yes
No
2,023
[]
88
MathCoder-CL-7B
30.2
7
Yes
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
Yes
No
2,023
[]
89
MathCoder-L-13B
29.9
13
Yes
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
Yes
No
2,023
[]
90
Qwen2idae-16x14B (4-shot)
29.9
null
Yes
Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks
Yes
No
2,024
[]
91
OpenChat-3.5-1210 7B
28.9
7
No
OpenChat: Advancing Open-source Language Models with Mixed-Quality Data
Yes
No
2,023
[]
92
OpenChat-3.5 7B
28.6
7
No
OpenChat: Advancing Open-source Language Models with Mixed-Quality Data
Yes
No
2,023
[]
93
Mixtral 8x7B (maj@4)
28.4
null
No
Mixtral of Experts
Yes
Yes
2,024
[]
94
Minerva 62B (4-shot)
27.6
62
No
Solving Quantitative Reasoning Problems with Language Models
Yes
Yes
2,022
[]
95
MetaMath 70B
26
70
Yes
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
Yes
No
2,023
[ "fine-tuned" ]
96
MuggleMATH 7B
25.8
7
Yes
MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning
Yes
No
2,023
[]
97
Minerva 8B (maj1@k, k=64)
25.4
8
No
Solving Quantitative Reasoning Problems with Language Models
Yes
Yes
2,022
[ "majority voting" ]
98
MathCoder-L-7B
23.3
7
Yes
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
Yes
No
2,023
[]
99
WizardMath-70B-V1.0
22.7
70
Yes
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
Yes
No
2,023
[]
100
Camelidae-8×34B (4-shot)
22.6
null
Yes
Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks
Yes
No
2,024
[]