SOTAVerified

Mathematical Reasoning

Papers

Showing 451475 of 805 papers

TitleStatusHype
Beyond Gold Standards: Epistemic Ensemble of LLM Judges for Formal Mathematical Reasoning0
Beyond Lines and Circles: Unveiling the Geometric Reasoning Gap in Large Language Models0
Beyond the First Error: Process Reward Models for Reflective Mathematical Reasoning0
BitNet b1.58 2B4T Technical Report0
Fewer is More: Boosting LLM Reasoning with Reinforced Context Pruning0
Boosting Lossless Speculative Decoding via Feature Sampling and Partial Alignment Distillation0
Bottlenecked Transformers: Periodic KV Cache Abstraction for Generalised Reasoning0
Brains vs. Bytes: Evaluating LLM Proficiency in Olympiad Mathematics0
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models0
Building Math Agents with Multi-Turn Iterative Preference Learning0
Can Language Models Rival Mathematics Students? Evaluating Mathematical Reasoning through Textual Manipulation and Human Experiments0
Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations0
Can Large Language Models Invent Algorithms to Improve Themselves?0
Can LLMs understand Math? -- Exploring the Pitfalls in Mathematical Reasoning0
Can Pruning Improve Reasoning? Revisiting Long-CoT Compression with Capability in Mind for Better Reasoning0
Can Theoretical Physics Research Benefit from Language Agents?0
Causal Head Gating: A Framework for Interpreting Roles of Attention Heads in Transformers0
Causal Inference with Large Language Model: A Survey0
CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning0
Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective0
CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities0
Channel Merging: Preserving Specialization for Merged Experts0
CLEAR: Contrasting Textual Feedback with Experts and Amateurs for Reasoning0
Coarse-to-Fine Process Reward Modeling for Enhanced Mathematical Reasoning0
CodeGemma: Open Code Models Based on Gemma0
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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