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Mathematical Reasoning

Papers

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Showing 301–350 of 805 papers

TitleStatusHype
Large Language Models for Multi-Robot Systems: A SurveyCode1
KVTuner: Sensitivity-Aware Layer-wise Mixed Precision KV Cache Quantization for Efficient and Nearly Lossless LLM InferenceCode0
Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment—0
LIMO: Less is More for ReasoningCode5
LLMs can be easily Confused by Instructional Distractions—0
Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning—0
Path Planning for Masked Diffusion Model Sampling—0
Policy Guided Tree Search for Enhanced LLM Reasoning—0
Reusing Embeddings: Reproducible Reward Model Research in Large Language Model Alignment without GPUsCode2
Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search—0
Premise-Augmented Reasoning Chains Improve Error Identification in Math reasoning with LLMs—0
MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs—0
A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo MethodsCode1
Language Models Use Trigonometry to Do Addition—0
Improving Rule-based Reasoning in LLMs via Neurosymbolic Representations—0
Bridging the Reasoning Gap: Small LLMs Can Plan with Generalised StrategiesCode0
s1: Simple test-time scalingCode9
Critique Fine-Tuning: Learning to Critique is More Effective than Learning to ImitateCode2
LemmaHead: RAG Assisted Proof Generation Using Large Language Models—0
From Informal to Formal -- Incorporating and Evaluating LLMs on Natural Language Requirements to Verifiable Formal Proofs—0
Error Classification of Large Language Models on Math Word Problems: A Dynamically Adaptive Framework—0
The Karp Dataset—0
Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages—0
UGMathBench: A Diverse and Dynamic Benchmark for Undergraduate-Level Mathematical Reasoning with Large Language Models—0
Coarse-to-Fine Process Reward Modeling for Enhanced Mathematical Reasoning—0
O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning PruningCode2
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement LearningCode15
CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning—0
InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model—0
Benchmarking Large Language Models via Random Variables—0
Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective—0
Control LLM: Controlled Evolution for Intelligence Retention in LLMCode1
Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback—0
The Lessons of Developing Process Reward Models in Mathematical Reasoning—0
Open Eyes, Then Reason: Fine-grained Visual Mathematical Understanding in MLLMsCode1
Search-o1: Agentic Search-Enhanced Large Reasoning ModelsCode5
VoxEval: Benchmarking the Knowledge Understanding Capabilities of End-to-End Spoken Language ModelsCode1
URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal MathematicsCode2
Quantization Meets Reasoning: Exploring LLM Low-Bit Quantization Degradation for Mathematical Reasoning—0
Understand, Solve and Translate: Bridging the Multilingual Mathematical Reasoning Gap—0
Table as Thought: Exploring Structured Thoughts in LLM Reasoning—0
Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search—0
Plug-and-Play Training Framework for Preference Optimization—0
LLM2: Let Large Language Models Harness System 2 ReasoningCode0
Large Language Models for Mathematical AnalysisCode0
LLM Reasoning Engine: Specialized Training for Enhanced Mathematical Reasoning—0
Multilingual Mathematical Reasoning: Advancing Open-Source LLMs in Hindi and EnglishCode0
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught ReasonersCode2
Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic CollaborationCode0
System-2 Mathematical Reasoning via Enriched Instruction Tuning—0
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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
5Search-o1Acc56.7—Unverified
6s1-32BAcc56.7—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
3GPT-4oAccuracy0.01—Unverified
4o1-miniAccuracy0.01—Unverified
5o1-previewAccuracy0.01—Unverified
6Claude 3.5 SonnetAccuracy0.01—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