SOTAVerified

Mathematical Reasoning

Papers

Showing 751800 of 805 papers

TitleStatusHype
Step Guided Reasoning: Improving Mathematical Reasoning using Guidance Generation and Step Reasoning0
Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback0
Step-wise Adaptive Integration of Supervised Fine-tuning and Reinforcement Learning for Task-Specific LLMs0
Subtle Errors Matter: Preference Learning via Error-injected Self-editing0
Supervised Optimism Correction: Be Confident When LLMs Are Sure0
Sustainability of Collusion and Market Transparency in a Sequential Search Market: a Generalization0
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models0
Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use0
System-2 Mathematical Reasoning via Enriched Instruction Tuning0
Table as Thought: Exploring Structured Thoughts in LLM Reasoning0
Taming Generative Diffusion Prior for Universal Blind Image Restoration0
Tangram: Benchmark for Evaluating Geometric Element Recognition in Large Multimodal Models0
Teaching LLMs According to Their Aptitude: Adaptive Reasoning for Mathematical Problem Solving0
TeleMath: A Benchmark for Large Language Models in Telecom Mathematical Problem Solving0
Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic0
Test-time Scaling Techniques in Theoretical Physics -- A Comparison of Methods on the TPBench Dataset0
Text Generation Beyond Discrete Token Sampling0
The Axiom-Based Atlas: A Structural Mapping of Theorems via Foundational Proof Vectors0
The Karp Dataset0
The Lessons of Developing Process Reward Models in Mathematical Reasoning0
Theorem Prover as a Judge for Synthetic Data Generation0
Theoretical Analysis of an XGBoost Framework for Product Cannibalization0
The Qiyas Benchmark: Measuring ChatGPT Mathematical and Language Understanding in Arabic0
The Role of General Intelligence in Mathematical Reasoning0
The Unreasonable Effectiveness of Model Merging for Cross-Lingual Transfer in LLMs0
Thinking Slow, Fast: Scaling Inference Compute with Distilled Reasoners0
Think Silently, Think Fast: Dynamic Latent Compression of LLM Reasoning Chains0
TinyGSM: achieving >80% on GSM8k with small language models0
Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning0
Token-Level Uncertainty Estimation for Large Language Model Reasoning0
Token-Supervised Value Models for Enhancing Mathematical Reasoning Capabilities of Large Language Models0
Demystifying Chains, Trees, and Graphs of Thoughts0
Towards Advanced Mathematical Reasoning for LLMs via First-Order Logic Theorem Proving0
Towards Efficient and Effective Alignment of Large Language Models0
SarcasmBench: Towards Evaluating Large Language Models on Sarcasm Understanding0
Towards Self-Improvement of LLMs via MCTS: Leveraging Stepwise Knowledge with Curriculum Preference Learning0
Towards Spoken Mathematical Reasoning: Benchmarking Speech-based Models over Multi-faceted Math Problems0
Towards Thinking-Optimal Scaling of Test-Time Compute for LLM Reasoning0
Towards Tractable Mathematical Reasoning: Challenges, Strategies, and Opportunities for Solving Math Word Problems0
Towards Understanding Multi-Round Large Language Model Reasoning: Approximability, Learnability and Generalizability0
TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees0
Training-Free Mitigation of Language Reasoning Degradation After Multimodal Instruction Tuning0
Trajectory Bellman Residual Minimization: A Simple Value-Based Method for LLM Reasoning0
Tropical Attention: Neural Algorithmic Reasoning for Combinatorial Algorithms0
UGMathBench: A Diverse and Dynamic Benchmark for Undergraduate-Level Mathematical Reasoning with Large Language Models0
Uncertainty-Aware Step-wise Verification with Generative Reward Models0
Understand, Solve and Translate: Bridging the Multilingual Mathematical Reasoning Gap0
Uni-LoRA: One Vector is All You Need0
Universal Self-Consistency for Large Language Model Generation0
Unlocking the Potential of Difficulty Prior in RL-based Multimodal Reasoning0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1XolverAcc94.4Unverified
2DeepSeek-r1Acc79.8Unverified
3Openai-o1Acc74.4Unverified
4Openai-o1-miniAcc70Unverified
5Search-o1Acc56.7Unverified
6s1-32BAcc56.7Unverified
7Openai-o1-previewAcc44.6Unverified
8Qwen2.5-72B-InstructAcc23.3Unverified
9Claude3.5-SonnetAcc16Unverified
#ModelMetricClaimedVerifiedStatus
1o3Accuracy0.25Unverified
2Gemini 1.5 Pro (002)Accuracy0.02Unverified
3GPT-4oAccuracy0.01Unverified
4o1-miniAccuracy0.01Unverified
5o1-previewAccuracy0.01Unverified
6Claude 3.5 SonnetAccuracy0.01Unverified
#ModelMetricClaimedVerifiedStatus
1Codex (Few-Shot, 175B)Accuracy0.6Unverified
2Bhāskara-P (Fine-tuned, 2.7B)Accuracy0.48Unverified
3Neo-P (Fine-tuned, 2.7B)Accuracy0.39Unverified
4GPT-3 (Few-Shot, 175B)Accuracy0.38Unverified
5Bhāskara-A (Fine-tuned, 2.7B)Accuracy0.25Unverified
6Neo-A (Fine-tuned, 2.7B)Accuracy0.2Unverified
#ModelMetricClaimedVerifiedStatus
1Codex (Few-Shot, 175B)Accuracy0.59Unverified
2Bhāskara-P (Fine-tuned, 2.7B)Accuracy0.45Unverified
3GPT-3 (Few-Shot, 175B)Accuracy0.38Unverified
4Bhāskara-A (Fine-tuned, 2.7B)Accuracy0.27Unverified
5Neo-P (Fine-tuned, 2.7B)Accuracy0.24Unverified
6Neo-A (Fine-tuned, 2.7B)Accuracy0.18Unverified
#ModelMetricClaimedVerifiedStatus
1GOLDCompletion accuracy65.8Unverified
2PGPSNetCompletion accuracy62.7Unverified
3GAPSCompletion accuracy61.2Unverified
4Inter-GPSCompletion accuracy59.8Unverified
5GeoformerCompletion accuracy35.6Unverified
6NGSCompletion accuracy34.1Unverified
#ModelMetricClaimedVerifiedStatus
1QWQ-32B-previewAcc82.5Unverified
2Math-MasterAcc82Unverified
3Qwen2.5-Math-7B-instructAcc62.5Unverified
#ModelMetricClaimedVerifiedStatus
1GOLDAccuracy (%)75.2Unverified
2GAPSAccuracy (%)67.8Unverified
#ModelMetricClaimedVerifiedStatus
1Search-o1Acc86.4Unverified
#ModelMetricClaimedVerifiedStatus
1GOLDAccuracy (%)98.5Unverified
#ModelMetricClaimedVerifiedStatus
1GAPSAccuracy (%)97.5Unverified