HyperAI
HyperAI
Startseite
Plattform
Dokumentation
Neuigkeiten
Forschungsarbeiten
Tutorials
Datensätze
Wiki
SOTA
LLM-Modelle
GPU-Rangliste
Veranstaltungen
Suche
Über
Nutzungsbedingungen
Datenschutzrichtlinie
Deutsch
HyperAI
HyperAI
Toggle Sidebar
Seite durchsuchen…
⌘
K
Command Palette
Search for a command to run...
Plattform
Startseite
SOTA
Mathematisches Wortproblem lösen
Math Word Problem Solving On Svamp
Math Word Problem Solving On Svamp
Metriken
Execution Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
Execution Accuracy
Paper Title
GPT-4 (Teaching-Inspired)
93.9
Teaching-Inspired Integrated Prompting Framework: A Novel Approach for Enhancing Reasoning in Large Language Models
GPT-4 (Model Selection)
93.7
Automatic Model Selection with Large Language Models for Reasoning
Qwen2(CoT + Code Interpreter)
92.3
-
GPT-4 (PHP)
91.9
Progressive-Hint Prompting Improves Reasoning in Large Language Models
OpenMath-CodeLlama-70B (w/ code)
87.8
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
MathCoder-L-70B
84.9
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
MMOS-CODE-34B(0-shot)
80.6
An Empirical Study of Data Ability Boundary in LLMs' Math Reasoning
MMOS-DeepSeekMath-7B(0-shot)
79.3
An Empirical Study of Data Ability Boundary in LLMs' Math Reasoning
MMOS-CODE-7B(0-shot)
76.4
An Empirical Study of Data Ability Boundary in LLMs' Math Reasoning
LLaMA 2-Chat
69.2
Llama 2: Open Foundation and Fine-Tuned Chat Models
DeBERTa
63.5
Math Word Problem Solving by Generating Linguistic Variants of Problem Statements
PaLM (zero-shot, CoT)
62.1
Large Language Models are Zero-Shot Reasoners
PaLM (zero-shot)
58.8
Large Language Models are Zero-Shot Reasoners
SYRELM (Vicuna 13B)
56.65
Frugal LMs Trained to Invoke Symbolic Solvers Achieve Parameter-Efficient Arithmetic Reasoning
ATHENA (roberta-large)
54.8
ATHENA: Mathematical Reasoning with Thought Expansion
MsAT-DeductReasoner
48.9
Learning Multi-Step Reasoning by Solving Arithmetic Tasks
Roberta-DeductReasoner
47.3
Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction
ATHENA (roberta-base)
45.6
ATHENA: Mathematical Reasoning with Thought Expansion
Graph2Tree with RoBERTa
43.8
Are NLP Models really able to Solve Simple Math Word Problems?
GTS with RoBERTa
41.0
Are NLP Models really able to Solve Simple Math Word Problems?
0 of 24 row(s) selected.
Previous
Next
Math Word Problem Solving On Svamp | SOTA | HyperAI