SOTAVerified

Mathematical Reasoning

Papers

Showing 401450 of 805 papers

TitleStatusHype
Evaluating Grounded Reasoning by Code-Assisted Large Language Models for Mathematics0
DeepDistill: Enhancing LLM Reasoning Capabilities via Large-Scale Difficulty-Graded Data Training0
Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging0
Improving RL Exploration for LLM Reasoning through Retrospective Replay0
BitNet b1.58 2B4T Technical Report0
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs0
Assessment of Evolving Large Language Models in Upper Secondary Mathematics0
Enhancing Mathematical Reasoning in Large Language Models with Self-Consistency-Based Hallucination Detection0
Supervised Optimism Correction: Be Confident When LLMs Are Sure0
Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use0
Explain with Visual Keypoints Like a Real Mentor! A Benchmark for Multimodal Solution Explanation0
Do LLM Evaluators Prefer Themselves for a Reason?Code0
Sample, Don't Search: Rethinking Test-Time Alignment for Language Models0
LexPam: Legal Procedure Awareness-Guided Mathematical Reasoning0
LLM Library Learning Fails: A LEGO-Prover Case Study0
LLM for Complex Reasoning Task: An Exploratory Study in Fermi Problems0
How Difficulty-Aware Staged Reinforcement Learning Enhances LLMs' Reasoning Capabilities: A Preliminary Experimental Study0
Brains vs. Bytes: Evaluating LLM Proficiency in Olympiad Mathematics0
VerifiAgent: a Unified Verification Agent in Language Model ReasoningCode0
GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning0
The Axiom-Based Atlas: A Structural Mapping of Theorems via Foundational Proof Vectors0
Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains0
SWI: Speaking with Intent in Large Language ModelsCode0
Proof or Bluff? Evaluating LLMs on 2025 USA Math Olympiad0
Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language ModelsCode0
Entropy-Aware Branching for Improved Mathematical Reasoning0
MATHGLANCE: Multimodal Large Language Models Do Not Know Where to Look in Mathematical Diagrams0
Accelerate Parallelizable Reasoning via Parallel Decoding within One SequenceCode0
RL-finetuning LLMs from on- and off-policy data with a single algorithm0
Learning to chain-of-thought with Jensen's evidence lower bound0
Innate Reasoning is Not Enough: In-Context Learning Enhances Reasoning Large Language Models with Less Overthinking0
Process or Result? Manipulated Ending Tokens Can Mislead Reasoning LLMs to Ignore the Correct Reasoning Steps0
CLEAR: Contrasting Textual Feedback with Experts and Amateurs for Reasoning0
Lost in Cultural Translation: Do LLMs Struggle with Math Across Cultural Contexts?Code0
A Survey on Mathematical Reasoning and Optimization with Large Language ModelsCode0
Temporal Consistency for LLM Reasoning Process Error IdentificationCode0
Mitigating Visual Forgetting via Take-along Visual Conditioning for Multi-modal Long CoT Reasoning0
Pensez: Less Data, Better Reasoning -- Rethinking French LLM0
Reliable and Efficient Amortized Model-based Evaluation0
Evaluating Mathematical Reasoning Across Large Language Models: A Fine-Grained Approach0
VLRMBench: A Comprehensive and Challenging Benchmark for Vision-Language Reward ModelsCode0
Speculative Decoding for Multi-Sample Inference0
Pi-GPS: Enhancing Geometry Problem Solving by Unleashing the Power of Diagrammatic Information0
Better Process Supervision with Bi-directional Rewarding Signals0
Towards Understanding Multi-Round Large Language Model Reasoning: Approximability, Learnability and Generalizability0
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 Models0
None of the Above, Less of the Right: Parallel Patterns between Humans and LLMs on Multi-Choice Questions Answering0
MV-MATH: Evaluating Multimodal Math Reasoning in Multi-Visual Contexts0
Show:102550
← PrevPage 9 of 17Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1XolverAcc94.4Unverified
2DeepSeek-r1Acc79.8Unverified
3Openai-o1Acc74.4Unverified
4Openai-o1-miniAcc70Unverified
5s1-32BAcc56.7Unverified
6Search-o1Acc56.7Unverified
7Openai-o1-previewAcc44.6Unverified
8Qwen2.5-72B-InstructAcc23.3Unverified
9Claude3.5-SonnetAcc16Unverified
#ModelMetricClaimedVerifiedStatus
1o3Accuracy0.25Unverified
2Gemini 1.5 Pro (002)Accuracy0.02Unverified
3o1-previewAccuracy0.01Unverified
4GPT-4oAccuracy0.01Unverified
5Claude 3.5 SonnetAccuracy0.01Unverified
6o1-miniAccuracy0.01Unverified
#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