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Mathematical Reasoning

Papers

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Showing 501–550 of 805 papers

TitleStatusHype
Leveraging Constrained Monte Carlo Tree Search to Generate Reliable Long Chain-of-Thought for Mathematical Reasoning—0
LexPam: Legal Procedure Awareness-Guided Mathematical Reasoning—0
LiteSearch: Efficacious Tree Search for LLM—0
LLaMa-SciQ: An Educational Chatbot for Answering Science MCQ—0
LLM4DV: Using Large Language Models for Hardware Test Stimuli Generation—0
LLM for Complex Reasoning Task: An Exploratory Study in Fermi Problems—0
LLM Library Learning Fails: A LEGO-Prover Case Study—0
LLM Reasoning Engine: Specialized Training for Enhanced Mathematical Reasoning—0
LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement—0
LLMs can be easily Confused by Instructional Distractions—0
LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought—0
LLMs can implicitly learn from mistakes in-context—0
DavIR: Data Selection via Implicit Reward for Large Language Models—0
Logic Contrastive Reasoning with Lightweight Large Language Model for Math Word Problems—0
Look Before You Leap: Problem Elaboration Prompting Improves Mathematical Reasoning in Large Language Models—0
Losing Visual Needles in Image Haystacks: Vision Language Models are Easily Distracted in Short and Long Contexts—0
Low-Rank Adaptation with Task-Relevant Feature Enhancement for Fine-tuning Language Models—0
LPML: LLM-Prompting Markup Language for Mathematical Reasoning—0
Lynx: Enabling Efficient MoE Inference through Dynamic Batch-Aware Expert Selection—0
Machine learning and information theory concepts towards an AI Mathematician—0
MAPS: A Multilingual Benchmark for Global Agent Performance and Security—0
Markov Chain of Thought for Efficient Mathematical Reasoning—0
Mars-PO: Multi-Agent Reasoning System Preference Optimization—0
Massive Supervised Fine-tuning Experiments Reveal How Data, Layer, and Training Factors Shape LLM Alignment Quality—0
MATATA: Weakly Supervised End-to-End MAthematical Tool-Augmented Reasoning for Tabular Applications—0
MathDivide: Improved mathematical reasoning by large language models—0
Assessment of Evolving Large Language Models in Upper Secondary Mathematics—0
Mathematical Reasoning in Latent Space—0
MathFimer: Enhancing Mathematical Reasoning by Expanding Reasoning Steps through Fill-in-the-Middle Task—0
MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs—0
MATHGLANCE: Multimodal Large Language Models Do Not Know Where to Look in Mathematical Diagrams—0
MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model—0
MathHay: An Automated Benchmark for Long-Context Mathematical Reasoning in LLMs—0
MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations—0
math-PVS: A Large Language Model Framework to Map Scientific Publications to PVS Theories—0
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?—0
MCP-RADAR: A Multi-Dimensional Benchmark for Evaluating Tool Use Capabilities in Large Language Models—0
MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs—0
ME-Switch: A Memory-Efficient Expert Switching Framework for Large Language Models—0
INC-Math: Integrating Natural Language and Code for Enhanced Mathematical Reasoning in Large Language Models—0
Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models—0
MetaRuleGPT: Recursive Numerical Reasoning of Language Models Trained with Simple Rules—0
MIND: Math Informed syNthetic Dialogues for Pretraining LLMs—0
Mind the Gap: Bridging Thought Leap for Improved Chain-of-Thought Tuning—0
MinT: Boosting Generalization in Mathematical Reasoning via Multi-View Fine-Tuning—0
Mitigating Visual Forgetting via Take-along Visual Conditioning for Multi-modal Long CoT Reasoning—0
MMTM: Multi-Tasking Multi-Decoder Transformer for Math Word Problems—0
Modeling Intelligent Decision Making Command And Control Agents: An Application to Air Defense—0
Multi2: Multi-Agent Test-Time Scalable Framework for Multi-Document Processing—0
Multi-Layer GRPO: Enhancing Reasoning and Self-Correction in Large Language Models—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