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Mathematical Reasoning

Papers

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Showing 476–500 of 805 papers

TitleStatusHype
Kwai-STaR: Transform LLMs into State-Transition Reasoners—0
KwaiYiiMath: Technical Report—0
Mathematical Reasoning via Self-supervised Skip-tree Training—0
Language Models Use Trigonometry to Do Addition—0
LANS: A Layout-Aware Neural Solver for Plane Geometry Problem—0
Large Language Models and Mathematical Reasoning Failures—0
Large Language Models Don't Make Sense of Word Problems. A Scoping Review from a Mathematics Education Perspective—0
Large Language Models for Combinatorial Optimization of Design Structure Matrix—0
Large Language Models for Design Structure Matrix Optimization—0
Large Language Models for Mathematical Reasoning: Progresses and Challenges—0
Large Language Models Have Intrinsic Meta-Cognition, but Need a Good Lens—0
Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems—0
Layer Importance for Mathematical Reasoning is Forged in Pre-Training and Invariant after Post-Training—0
Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models—0
LeanProgress: Guiding Search for Neural Theorem Proving via Proof Progress Prediction—0
LearnAlign: Reasoning Data Selection for Reinforcement Learning in Large Language Models Based on Improved Gradient Alignment—0
Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning—0
Learning Like Humans: Advancing LLM Reasoning Capabilities via Adaptive Difficulty Curriculum Learning and Expert-Guided Self-Reformulation—0
Learning to chain-of-thought with Jensen's evidence lower bound—0
Learning to Rank Chain-of-Thought: An Energy-Based Approach with Outcome Supervision—0
Learning to Reason With Relational Abstractions—0
LemmaHead: RAG Assisted Proof Generation Using Large Language Models—0
Let's Reason Formally: Natural-Formal Hybrid Reasoning Enhances LLM's Math Capability—0
Let's Reinforce Step by Step—0
Let's reward step by step: Step-Level reward model as the Navigators for Reasoning—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