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Mathematical Reasoning

Papers

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Showing 251–300 of 805 papers

TitleStatusHype
Pi-GPS: Enhancing Geometry Problem Solving by Unleashing the Power of Diagrammatic Information—0
Better Process Supervision with Bi-directional Rewarding Signals—0
Towards Understanding Multi-Round Large Language Model Reasoning: Approximability, Learnability and Generalizability—0
Process-based Self-Rewarding Language ModelsCode0
An Efficient and Precise Training Data Construction Framework for Process-supervised Reward Model in Mathematical ReasoningCode0
Self-Evolved Preference Optimization for Enhancing Mathematical Reasoning in Small Language Models—0
PromptCoT: Synthesizing Olympiad-level Problems for Mathematical Reasoning in Large Language ModelsCode1
None of the Above, Less of the Right: Parallel Patterns between Humans and LLMs on Multi-Choice Questions Answering—0
MV-MATH: Evaluating Multimodal Math Reasoning in Multi-Visual Contexts—0
Multi2: Multi-Agent Test-Time Scalable Framework for Multi-Document Processing—0
OmniRouter: Budget and Performance Controllable Multi-LLM RoutingCode0
Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models—0
Revisiting Self-Consistency from Dynamic Distributional Alignment Perspective on Answer Aggregation—0
Thinking Slow, Fast: Scaling Inference Compute with Distilled Reasoners—0
Weaker LLMs' Opinions Also Matter: Mixture of Opinions Enhances LLM's Mathematical Reasoning—0
Self-rewarding correction for mathematical reasoningCode3
LeanProgress: Guiding Search for Neural Theorem Proving via Proof Progress Prediction—0
Towards Thinking-Optimal Scaling of Test-Time Compute for LLM Reasoning—0
Linguistic Generalizability of Test-Time Scaling in Mathematical ReasoningCode0
CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-ThoughtCode1
The Relationship Between Reasoning and Performance in Large Language Models -- o3 (mini) Thinks Harder, Not LongerCode0
Forgotten Polygons: Multimodal Large Language Models are Shape-BlindCode1
CER: Confidence Enhanced Reasoning in LLMsCode0
Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning—0
Full-Step-DPO: Self-Supervised Preference Optimization with Step-wise Rewards for Mathematical Reasoning—0
From Correctness to Comprehension: AI Agents for Personalized Error Diagnosis in Education—0
Proving Olympiad Inequalities by Synergizing LLMs and Symbolic ReasoningCode1
AdaptiveStep: Automatically Dividing Reasoning Step through Model ConfidenceCode1
Integrating Arithmetic Learning Improves Mathematical Reasoning in Smaller Models—0
Theorem Prover as a Judge for Synthetic Data Generation—0
Sens-Merging: Sensitivity-Guided Parameter Balancing for Merging Large Language Models—0
Large Language Models and Mathematical Reasoning Failures—0
Teaching LLMs According to Their Aptitude: Adaptive Reasoning for Mathematical Problem Solving—0
MathFimer: Enhancing Mathematical Reasoning by Expanding Reasoning Steps through Fill-in-the-Middle Task—0
Uncertainty-Aware Step-wise Verification with Generative Reward Models—0
Leveraging Constrained Monte Carlo Tree Search to Generate Reliable Long Chain-of-Thought for Mathematical Reasoning—0
1bit-Merging: Dynamic Quantized Merging for Large Language Models—0
Evaluating the Meta- and Object-Level Reasoning of Large Language Models for Question Answering—0
GoRA: Gradient-driven Adaptive Low Rank Adaptation—0
Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models—0
One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs—0
Mathematical Reasoning in Large Language Models: Assessing Logical and Arithmetic Errors across Wide Numerical RangesCode0
LLMs can implicitly learn from mistakes in-context—0
Rethinking Fine-Tuning when Scaling Test-Time Compute: Limiting Confidence Improves Mathematical ReasoningCode0
MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations—0
Exploring the Limit of Outcome Reward for Learning Mathematical ReasoningCode2
ReasonFlux: Hierarchical LLM Reasoning via Scaling Thought TemplatesCode4
Self-Training Large Language Models for Tool-Use Without Demonstrations—0
Evolving LLMs' Self-Refinement Capability via Iterative Preference Optimization—0
ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference OptimizationCode2
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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