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GSM8K

Papers

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Showing 351–400 of 439 papers

TitleStatusHype
Over-Reasoning and Redundant Calculation of Large Language ModelsCode1
Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step ReasoningCode1
Evaluating LLMs' Mathematical and Coding Competency through Ontology-guided InterventionsCode1
ReFT: Reasoning with Reinforced Fine-TuningCode4
Self-Imagine: Effective Unimodal Reasoning with Multimodal Models using Self-Imagination—0
MARIO: MAth Reasoning with code Interpreter Output -- A Reproducible PipelineCode3
MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model EvaluationCode1
Assessing the Impact of Prompting Methods on ChatGPT's Mathematical Capabilities—0
From Good to Great: Improving Math Reasoning with Tool-Augmented Interleaf Prompting—0
TinyGSM: achieving >80% on GSM8k with small language models—0
Fewer is More: Boosting LLM Reasoning with Reinforced Context Pruning—0
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human AnnotationsCode1
Training Chain-of-Thought via Latent-Variable Inference—0
AlignedCoT: Prompting Large Language Models via Native-Speaking DemonstrationsCode0
Meta Prompting for AI SystemsCode2
Token-Level Adaptation of LoRA Adapters for Downstream Task GeneralizationCode1
OVM, Outcome-supervised Value Models for Planning in Mathematical ReasoningCode1
Neuro-Symbolic Integration Brings Causal and Reliable Reasoning ProofsCode1
First-Step Advantage: Importance of Starting Right in Multi-Step Math Reasoning—0
The ART of LLM Refinement: Ask, Refine, and Trust—0
SAIE Framework: Support Alone Isn't Enough -- Advancing LLM Training with Adversarial Remarks—0
Let's Reinforce Step by Step—0
Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language ModelsCode1
Prompt Engineering a Prompt Engineer—0
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free LunchCode2
The Alignment Ceiling: Objective Mismatch in Reinforcement Learning from Human Feedback—0
Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and ObservationsCode1
Learning From Mistakes Makes LLM Better ReasonerCode1
SkyMath: Technical ReportCode3
SEGO: Sequential Subgoal Optimization for Mathematical Problem-SolvingCode0
DavIR: Data Selection via Implicit Reward for Large Language Models—0
Let's reward step by step: Step-Level reward model as the Navigators for Reasoning—0
KwaiYiiMath: Technical Report—0
TRACE: A Comprehensive Benchmark for Continual Learning in Large Language ModelsCode1
MuggleMath: Assessing the Impact of Query and Response Augmentation on Math ReasoningCode2
LLMLingua: Compressing Prompts for Accelerated Inference of Large Language ModelsCode5
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical ReasoningCode2
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference—0
Large Language Models as Analogical Reasoners—0
Fill in the Blank: Exploring and Enhancing LLM Capabilities for Backward Reasoning in Math Word ProblemsCode0
Think before you speak: Training Language Models With Pause Tokens—0
Adapting LLM Agents with Universal Feedback in Communication—0
UPAR: A Kantian-Inspired Prompting Framework for Enhancing Large Language Model Capabilities—0
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language ModelsCode2
Design of Chain-of-Thought in Math Problem SolvingCode1
Baichuan 2: Open Large-scale Language ModelsCode4
Contrastive Decoding Improves Reasoning in Large Language Models—0
EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context LearningCode0
Exploring an LM to generate Prolog Predicates from Mathematics Questions—0
Large Language Models as OptimizersCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1XolverAccuracy98.1—Unverified
2Orange-mini0-shot MRR98—Unverified