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GSM8K

Papers

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Showing 51–100 of 439 papers

TitleStatusHype
LLM2LLM: Boosting LLMs with Novel Iterative Data EnhancementCode2
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement LearningCode2
Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical TextsCode2
SuperCLUE-Math6: Graded Multi-Step Math Reasoning Benchmark for LLMs in ChineseCode2
Large Language Models are Zero-Shot ReasonersCode2
SIFT: Grounding LLM Reasoning in Contexts via StickersCode2
Self-Explore: Enhancing Mathematical Reasoning in Language Models with Fine-grained RewardsCode2
SLOT: Sample-specific Language Model Optimization at Test-timeCode2
Synthetic Data RL: Task Definition Is All You NeedCode2
MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics BenchmarkCode2
Scaling Relationship on Learning Mathematical Reasoning with Large Language ModelsCode2
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language ModelsCode2
Language Models are Multilingual Chain-of-Thought ReasonersCode2
any4: Learned 4-bit Numeric Representation for LLMsCode2
Balancing LoRA Performance and Efficiency with Simple Shard SharingCode2
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free LunchCode2
Reformatted AlignmentCode2
SEAL: Steerable Reasoning Calibration of Large Language Models for FreeCode2
ProcessBench: Identifying Process Errors in Mathematical ReasoningCode2
Progressive-Hint Prompting Improves Reasoning in Large Language ModelsCode2
Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language ModelsCode2
GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem SolversCode2
CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning ModelsCode2
How to Correctly do Semantic Backpropagation on Language-based Agentic SystemsCode2
MuggleMath: Assessing the Impact of Query and Response Augmentation on Math ReasoningCode2
CoT-Valve: Length-Compressible Chain-of-Thought TuningCode2
Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-RewardingCode2
LoRA-XS: Low-Rank Adaptation with Extremely Small Number of ParametersCode2
Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning ProcessCode2
Preference Optimization for Reasoning with Pseudo FeedbackCode2
Seek in the Dark: Reasoning via Test-Time Instance-Level Policy Gradient in Latent SpaceCode2
Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning TasksCode1
NeMo-Inspector: A Visualization Tool for LLM Generation AnalysisCode1
Neuro-Symbolic Integration Brings Causal and Reliable Reasoning ProofsCode1
OVM, Outcome-supervised Value Models for Planning in Mathematical ReasoningCode1
Automatic Model Selection with Large Language Models for ReasoningCode1
MyGO Multiplex CoT: A Method for Self-Reflection in Large Language Models via Double Chain of Thought ThinkingCode1
CommVQ: Commutative Vector Quantization for KV Cache CompressionCode1
Over-Reasoning and Redundant Calculation of Large Language ModelsCode1
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement LearningCode1
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human AnnotationsCode1
Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language ModelsCode1
MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model EvaluationCode1
Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Solvers for Math Word ProblemsCode1
Markovian Transformers for Informative Language ModelingCode1
Math Neurosurgery: Isolating Language Models' Math Reasoning Abilities Using Only Forward PassesCode1
Multiple-Choice Questions are Efficient and Robust LLM EvaluatorsCode1
AskIt: Unified Programming Interface for Programming with Large Language ModelsCode1
DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical ReasoningCode1
Don't Trust: Verify -- Grounding LLM Quantitative Reasoning with AutoformalizationCode1
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Benchmark Results

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