← 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
Claude 3.5 Sonnet (HPT)
Accuracy
97.72
Hierarchical Prompting Taxonomy: A Universal Evaluation Framework for Large Language Models Aligned with Human Cognitive Principles
2024-06-18
코드 1
DUP prompt upon GPT-4
Accuracy
97.1
Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Solvers for Math Word Problems
2024-04-23
코드 1
Qwen2-Math-72B-Instruct (greedy)
Accuracy
96.7
Parameters (Billion)
72
Qwen2 Technical Report
2024-07-15
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6
SFT-Mistral-7B (Metamath, OVM, Smart Ensemble)
Accuracy
96.4
Parameters (Billion)
7
연결 없음
논문 날짜 미기재
연결 없음
OpenMath2-Llama3.1-70B (majority@256)
Accuracy
96.0
OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data
2024-10-02
코드 1
Jiutian-大模型
Accuracy
95.2
Parameters (Billion)
75
연결 없음
논문 날짜 미기재
연결 없음
DAMOMath-7B(MetaMath, OVM, BS, Ensemble)
Accuracy
95.1
Parameters (Billion)
7
연결 없음
논문 날짜 미기재
연결 없음
Claude 3 Opus (0-shot chain-of-thought)
Accuracy
95
The Claude 3 Model Family: Opus, Sonnet, Haiku
2024-03-04
연결 없음
OpenMath2-Llama3.1-70B
Accuracy
94.9
OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data
2024-10-02
코드 1
GPT-4 (Teaching-Inspired)
Accuracy
94.8
Teaching-Inspired Integrated Prompting Framework: A Novel Approach for Enhancing Reasoning in Large Language Models
2024-10-10
코드 1
SFT-Mistral-7B (Metamath + ovm +ensemble)
Accuracy
94.13
Parameters (Billion)
7
연결 없음
논문 날짜 미기재
연결 없음
OpenMath2-Llama3.1-8B (majority@256)
Accuracy
94.1
OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data
2024-10-02
코드 1
Qwen2-72B-Instruct-Step-DPO (0-shot CoT)
Accuracy
94.0
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs
2024-06-26
코드 1
DAMOMath-7B(MetaMath, OVM, Ensemble)
Accuracy
93.2
Parameters (Billion)
7
연결 없음
논문 날짜 미기재
연결 없음
Claude 3 Sonnet (0-shot chain-of-thought)
Accuracy
92.3
The Claude 3 Model Family: Opus, Sonnet, Haiku
2024-03-04
연결 없음
AlphaLLM (with MCTS)
Accuracy
92
Parameters (Billion)
70
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
2024-04-18
코드 1
OpenMath2-Llama3.1-8B
Accuracy
91.7
OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data
2024-10-02
코드 1
PaLM 2 (few-shot, k=8, SC)
Accuracy
91.0
PaLM 2 Technical Report
2023-05-17
코드 1
GaC(Qwen2-72B-Instruct + Llama-3-70B-Instruct)
Accuracy
90.91
Breaking the Ceiling of the LLM Community by Treating Token Generation as a Classification for Ensembling
2024-06-18
코드 1
OpenMath-CodeLlama-70B (w/ code, SC, k=50)
Accuracy
90.8
Parameters (Billion)
70
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
2024-02-15
코드 1
DART-Math-Llama3-70B-Uniform (0-shot CoT, w/o code)
Accuracy
90.4
Parameters (Billion)
70
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
2024-06-18
코드 1
OpenMath-Llama2-70B (w/ code, SC, k=50)
Accuracy
90.1
Parameters (Billion)
70
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
2024-02-15
코드 1
DART-Math-Llama3-70B-Prop2Diff (0-shot CoT, w/o code)
Accuracy
89.6
Parameters (Billion)
70
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
2024-06-18
코드 1
Shepherd+Mistral-7B (SFT on MetaMATH + PRM RL+ PRM rerank, k=256)
Accuracy
89.1
Parameters (Billion)
7
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations
2023-12-14
코드 1 · 코드 2 · 코드 3
Llama SFT (Metamath ToRA Ensemble)
Accuracy
89.0
Parameters (Billion)
13
연결 없음
논문 날짜 미기재
연결 없음
Minerva 62B (maj5@100)
Accuracy
89
Parameters (Billion)
62
Solving Quantitative Reasoning Problems with Language Models
2022-06-29
코드 1
Claude 3 Haiku (0-shot chain-of-thought)
Accuracy
88.9
The Claude 3 Model Family: Opus, Sonnet, Haiku
2024-03-04
연결 없음
ToRA-70B (SC, k=50)
Accuracy
88.3
Parameters (Billion)
70
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
2023-09-29
코드 1
DeepSeekMATH-RL-7B
Accuracy
88.2
Parameters (Billion)
7
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
2024-02-05
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5
DART-Math-DSMath-7B-Uniform (0-shot CoT, w/o code)
Accuracy
88.2
Parameters (Billion)
7
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
2024-06-18
코드 1