← Arithmetic Reasoning
Papers with Code · CC BY-SA 4.0

GSM8K

아카이브 평가 164건 · 마지막 적재/변경

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델원본 지표·값논문구현
MuggleMATH 70B
Accuracy
82.3
Parameters (Billion)
70
MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning
2023-10-09
코드 1
PaLM 540B (Self Improvement, Self Consistency)
Accuracy
82.1
Parameters (Billion)
540
Large Language Models Can Self-Improve
2022-10-20
연결 없음
MathCoder-CL-34B
Accuracy
81.7
Parameters (Billion)
34
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
2023-10-05
코드 1
WizardMath-70B-V1.0
Accuracy
81.6
Parameters (Billion)
70
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
2023-08-18
코드 1
Phi-GSM+V 1.3B+1.3B (verify48@1)
Accuracy
81.5
Parameters (Billion)
2.6
TinyGSM: achieving >80% on GSM8k with small language models
2023-12-14
연결 없음
DART-Math-Mistral-7B-Prop2Diff (0-shot CoT, w/o code)
Accuracy
81.1
Parameters (Billion)
7
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
2024-06-18
코드 1
DART-Math-Llama3-8B-Prop2Diff (0-shot CoT, w/o code)
Accuracy
81.1
Parameters (Billion)
8
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
2024-06-18
코드 1
Claude Instant 1.1 (0-shot chain-of-thought)
Accuracy
80.9
Model Card and Evaluations for Claude Models
2023-07-11
연결 없음
ToRA-Code 34B
Accuracy
80.7
Parameters (Billion)
34
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
2023-09-29
코드 1
OpenMath-CodeLlama-34B (w/ code)
Accuracy
80.7
Parameters (Billion)
34
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
2024-02-15
코드 1
PaLM 2 (few-shot, k=8, CoT)
Accuracy
80.7
PaLM 2 Technical Report
2023-05-17
코드 1
MMOS-DeepSeekMath-7B(0-shot)
Accuracy
80.5
Parameters (Billion)
7
An Empirical Study of Data Ability Boundary in LLMs' Math Reasoning
2024-02-23
코드 1
MMOS-CODE-34B(0-shot)
Accuracy
80.4
Parameters (Billion)
34
An Empirical Study of Data Ability Boundary in LLMs' Math Reasoning
2024-02-23
코드 1
OpenMath-Mistral-7B (w/ code)
Accuracy
80.2
Parameters (Billion)
7
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
2024-02-15
코드 1
Self-Evaluation Guided Decoding (Codex, PAL, single reasoning chain, 9-shot gen, 5-shot eval)
Accuracy
80.2
연결 없음
논문 날짜 미기재
연결 없음
OpenMath-CodeLlama-13B (w/ code)
Accuracy
78.8
Parameters (Billion)
13
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
2024-02-15
코드 1
Minerva 540B (CoT)
Accuracy
78.5
Parameters (Billion)
540
Solving Quantitative Reasoning Problems with Language Models
2022-06-29
코드 1
Camelidae-8×34B (5-shot)
Accuracy
78.3
Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks
2024-01-05
코드 1 · 코드 2
Qwen2idae-16x14B (5-shot)
Accuracy
77.8
Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks
2024-01-05
코드 1 · 코드 2
MetaMath-Mistral-7B
Accuracy
77.7
Parameters (Billion)
7
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
2023-09-21
코드 1
OpenChat-3.5 7B
Accuracy
77.3
Parameters (Billion)
7
OpenChat: Advancing Open-source Language Models with Mixed-Quality Data
2023-09-20
코드 1
DeepMind 70B Model (STaR, maj1@96)
Accuracy
76.5
Parameters (Billion)
70
Solving math word problems with process- and outcome-based feedback
2022-11-25
연결 없음
Arithmo2-Mistral-7B
Accuracy
76.4
Parameters (Billion)
7
연결 없음
논문 날짜 미기재
연결 없음
OpenMath-CodeLlama-7B (w/ code)
Accuracy
75.9
Parameters (Billion)
7
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
2024-02-15
코드 1
ToRA-Code 13B
Accuracy
75.8
Parameters (Billion)
13
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
2023-09-29
코드 1
Arithmo-Mistral-7B
Accuracy
74.7
Parameters (Billion)
7
연결 없음
논문 날짜 미기재
연결 없음
PaLM 540B maj1@40 (8-shot)
Accuracy
74.4
Parameters (Billion)
540
Self-Consistency Improves Chain of Thought Reasoning in Language Models
2022-03-21
코드 1 · 코드 2 · 코드 3
PaLM 540B (Self Consistency)
Accuracy
74.4
Parameters (Billion)
540
Large Language Models Can Self-Improve
2022-10-20
연결 없음
Phi-GSM 2.7B (fine-tuned)
Accuracy
74.3
Parameters (Billion)
2.7
TinyGSM: achieving >80% on GSM8k with small language models
2023-12-14
연결 없음
MathCoder-CL-13B
Accuracy
74.1
Parameters (Billion)
7
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
2023-10-05
코드 1