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Mathematical Reasoning

Papers

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Showing 601–650 of 805 papers

TitleStatusHype
Selective Code Generation for Functional Guarantees—0
Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models—0
Self-Evolved Preference Optimization for Enhancing Mathematical Reasoning in Small Language Models—0
Self-Training Large Language Models for Tool-Use Without Demonstrations—0
Sens-Merging: Sensitivity-Guided Parameter Balancing for Merging Large Language Models—0
Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?—0
SIaM: Self-Improving Code-Assisted Mathematical Reasoning of Large Language Models—0
Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models—0
Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models -- The Story Goes On—0
Slimming Down LLMs Without Losing Their Minds—0
SMART: A Situation Model for Algebra Story Problems via Attributed Grammar—0
SMART: Self-Generating and Self-Validating Multi-Dimensional Assessment for LLMs' Mathematical Problem Solving—0
SmolTulu: Higher Learning Rate to Batch Size Ratios Can Lead to Better Reasoning in SLMs—0
SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning—0
Speculative Decoding for Multi-Sample Inference—0
SSR: Speculative Parallel Scaling Reasoning in Test-time—0
STEM-POM: Evaluating Language Models Math-Symbol Reasoning in Document Parsing—0
Step Guided Reasoning: Improving Mathematical Reasoning using Guidance Generation and Step Reasoning—0
Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback—0
Step-wise Adaptive Integration of Supervised Fine-tuning and Reinforcement Learning for Task-Specific LLMs—0
Subtle Errors Matter: Preference Learning via Error-injected Self-editing—0
Supervised Optimism Correction: Be Confident When LLMs Are Sure—0
Sustainability of Collusion and Market Transparency in a Sequential Search Market: a Generalization—0
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models—0
Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use—0
System-2 Mathematical Reasoning via Enriched Instruction Tuning—0
Table as Thought: Exploring Structured Thoughts in LLM Reasoning—0
Taming Generative Diffusion Prior for Universal Blind Image Restoration—0
Tangram: Benchmark for Evaluating Geometric Element Recognition in Large Multimodal Models—0
Teaching LLMs According to Their Aptitude: Adaptive Reasoning for Mathematical Problem Solving—0
TeleMath: A Benchmark for Large Language Models in Telecom Mathematical Problem Solving—0
Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic—0
Test-time Scaling Techniques in Theoretical Physics -- A Comparison of Methods on the TPBench Dataset—0
Text Generation Beyond Discrete Token Sampling—0
The Axiom-Based Atlas: A Structural Mapping of Theorems via Foundational Proof Vectors—0
The Karp Dataset—0
The Lessons of Developing Process Reward Models in Mathematical Reasoning—0
Theorem Prover as a Judge for Synthetic Data Generation—0
Theoretical Analysis of an XGBoost Framework for Product Cannibalization—0
The Qiyas Benchmark: Measuring ChatGPT Mathematical and Language Understanding in Arabic—0
The Role of General Intelligence in Mathematical Reasoning—0
The Unreasonable Effectiveness of Model Merging for Cross-Lingual Transfer in LLMs—0
Thinking Slow, Fast: Scaling Inference Compute with Distilled Reasoners—0
Think Silently, Think Fast: Dynamic Latent Compression of LLM Reasoning Chains—0
TinyGSM: achieving >80% on GSM8k with small language models—0
Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning—0
Token-Level Uncertainty Estimation for Large Language Model Reasoning—0
Token-Supervised Value Models for Enhancing Mathematical Reasoning Capabilities of Large Language Models—0
Demystifying Chains, Trees, and Graphs of Thoughts—0
Towards Advanced Mathematical Reasoning for LLMs via First-Order Logic Theorem Proving—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