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Mathematical Reasoning

Papers

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Showing 101–150 of 805 papers

TitleStatusHype
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught ReasonersCode2
SOLO: A Single Transformer for Scalable Vision-Language ModelingCode2
Exploring the Limit of Outcome Reward for Learning Mathematical ReasoningCode2
Efficient Reinforcement Finetuning via Adaptive Curriculum LearningCode2
Reinforcing General Reasoning without VerifiersCode2
Reusing Embeddings: Reproducible Reward Model Research in Large Language Model Alignment without GPUsCode2
An Expression Tree Decoding Strategy for Mathematical Equation GenerationCode2
LoRA-Pro: Are Low-Rank Adapters Properly Optimized?Code2
MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical CodeCode2
MathPile: A Billion-Token-Scale Pretraining Corpus for MathCode2
Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning IncentivizationCode2
Scaling Language Models: Methods, Analysis & Insights from Training GopherCode2
Benchmarking Benchmark Leakage in Large Language ModelsCode2
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical ReasoningCode2
Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language ModelsCode2
Vision Matters: Simple Visual Perturbations Can Boost Multimodal Math ReasoningCode2
A Survey of Deep Learning for Mathematical ReasoningCode2
MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math DataCode2
ProcessBench: Identifying Process Errors in Mathematical ReasoningCode2
MegaMath: Pushing the Limits of Open Math CorporaCode2
Preference Optimization for Reasoning with Pseudo FeedbackCode2
MuggleMath: Assessing the Impact of Query and Response Augmentation on Math ReasoningCode2
LangBridge: Multilingual Reasoning Without Multilingual SupervisionCode2
DisCO: Reinforcing Large Reasoning Models with Discriminative Constrained OptimizationCode2
Measuring Multimodal Mathematical Reasoning with MATH-Vision DatasetCode2
Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical TextsCode2
LeanAgent: Lifelong Learning for Formal Theorem ProvingCode2
Reformatted AlignmentCode2
Confucius3-Math: A Lightweight High-Performance Reasoning LLM for Chinese K-12 Mathematics LearningCode2
Offline Reinforcement Learning for LLM Multi-Step ReasoningCode2
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language ModelsCode2
Compression Represents Intelligence LinearlyCode2
AtomThink: A Slow Thinking Framework for Multimodal Mathematical ReasoningCode2
Multi-View Reasoning: Consistent Contrastive Learning for Math Word ProblemCode2
Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation ModelsCode2
LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank AdaptationCode2
MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought ReasoningCode2
CMM-Math: A Chinese Multimodal Math Dataset To Evaluate and Enhance the Mathematics Reasoning of Large Multimodal ModelsCode2
Critique Fine-Tuning: Learning to Critique is More Effective than Learning to ImitateCode2
O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning PruningCode2
Optimizing Anytime Reasoning via Budget Relative Policy OptimizationCode2
Climbing the Ladder of Reasoning: What LLMs Can-and Still Can't-Solve after SFT?Code1
CLEVR-Math: A Dataset for Compositional Language, Visual and Mathematical ReasoningCode1
H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on TablesCode1
Harnessing Negative Signals: Reinforcement Distillation from Teacher Data for LLM ReasoningCode1
Ada-Instruct: Adapting Instruction Generators for Complex ReasoningCode1
IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language ReasoningCode1
MathPrompter: Mathematical Reasoning using Large Language ModelsCode1
MathFusion: Enhancing Mathematic Problem-solving of LLM through Instruction FusionCode1
Implicit Reasoning in Transformers is Reasoning through ShortcutsCode1
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All datasetsAIME24FrontierMathLila (IID)Lila (OOD)PGPS9KAMC23GeoQAMath500UniGeoUniGeo (PRV)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1XolverAcc94.4—Unverified
2DeepSeek-r1Acc79.8—Unverified
3Openai-o1Acc74.4—Unverified
4Openai-o1-miniAcc70—Unverified
5s1-32BAcc56.7—Unverified
6Search-o1Acc56.7—Unverified
7Openai-o1-previewAcc44.6—Unverified
8Qwen2.5-72B-InstructAcc23.3—Unverified
9Claude3.5-SonnetAcc16—Unverified
#ModelMetricClaimedVerifiedStatus
1o3Accuracy0.25—Unverified
2Gemini 1.5 Pro (002)Accuracy0.02—Unverified
3o1-previewAccuracy0.01—Unverified
4GPT-4oAccuracy0.01—Unverified
5Claude 3.5 SonnetAccuracy0.01—Unverified
6o1-miniAccuracy0.01—Unverified
#ModelMetricClaimedVerifiedStatus
1Codex (Few-Shot, 175B)Accuracy0.6—Unverified
2Bhāskara-P (Fine-tuned, 2.7B)Accuracy0.48—Unverified
3Neo-P (Fine-tuned, 2.7B)Accuracy0.39—Unverified
4GPT-3 (Few-Shot, 175B)Accuracy0.38—Unverified
5Bhāskara-A (Fine-tuned, 2.7B)Accuracy0.25—Unverified
6Neo-A (Fine-tuned, 2.7B)Accuracy0.2—Unverified
#ModelMetricClaimedVerifiedStatus
1Codex (Few-Shot, 175B)Accuracy0.59—Unverified
2Bhāskara-P (Fine-tuned, 2.7B)Accuracy0.45—Unverified
3GPT-3 (Few-Shot, 175B)Accuracy0.38—Unverified
4Bhāskara-A (Fine-tuned, 2.7B)Accuracy0.27—Unverified
5Neo-P (Fine-tuned, 2.7B)Accuracy0.24—Unverified
6Neo-A (Fine-tuned, 2.7B)Accuracy0.18—Unverified
#ModelMetricClaimedVerifiedStatus
1GOLDCompletion accuracy65.8—Unverified
2PGPSNetCompletion accuracy62.7—Unverified
3GAPSCompletion accuracy61.2—Unverified
4Inter-GPSCompletion accuracy59.8—Unverified
5GeoformerCompletion accuracy35.6—Unverified
6NGSCompletion accuracy34.1—Unverified
#ModelMetricClaimedVerifiedStatus
1QWQ-32B-previewAcc82.5—Unverified
2Math-MasterAcc82—Unverified
3Qwen2.5-Math-7B-instructAcc62.5—Unverified
#ModelMetricClaimedVerifiedStatus
1GOLDAccuracy (%)75.2—Unverified
2GAPSAccuracy (%)67.8—Unverified
#ModelMetricClaimedVerifiedStatus
1Search-o1Acc86.4—Unverified
#ModelMetricClaimedVerifiedStatus
1GOLDAccuracy (%)98.5—Unverified
#ModelMetricClaimedVerifiedStatus
1GAPSAccuracy (%)97.5—Unverified