SOTAVerified

Mathematical Reasoning

Papers

Showing 101125 of 805 papers

TitleStatusHype
Guided by Gut: Efficient Test-Time Scaling with Reinforced Intrinsic Confidence0
The Unreasonable Effectiveness of Model Merging for Cross-Lingual Transfer in LLMs0
RaDeR: Reasoning-aware Dense Retrieval ModelsCode1
Amplify Adjacent Token Differences: Enhancing Long Chain-of-Thought Reasoning with Shift-FFN0
Tropical Attention: Neural Algorithmic Reasoning for Combinatorial Algorithms0
Think Silently, Think Fast: Dynamic Latent Compression of LLM Reasoning Chains0
EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action PruningCode0
MCP-RADAR: A Multi-Dimensional Benchmark for Evaluating Tool Use Capabilities in Large Language Models0
Dynamic Sampling that Adapts: Iterative DPO for Self-Aware Mathematical Reasoning0
SMART: Self-Generating and Self-Validating Multi-Dimensional Assessment for LLMs' Mathematical Problem Solving0
KTAE: A Model-Free Algorithm to Key-Tokens Advantage Estimation in Mathematical ReasoningCode1
HOFT: Householder Orthogonal Fine-tuning0
Bottlenecked Transformers: Periodic KV Cache Abstraction for Generalised Reasoning0
MAPS: A Multilingual Benchmark for Global Agent Performance and Security0
Towards Spoken Mathematical Reasoning: Benchmarking Speech-based Models over Multi-faceted Math Problems0
SSR: Speculative Parallel Scaling Reasoning in Test-time0
Learning to Rank Chain-of-Thought: An Energy-Based Approach with Outcome Supervision0
Can LLMs understand Math? -- Exploring the Pitfalls in Mathematical Reasoning0
Trajectory Bellman Residual Minimization: A Simple Value-Based Method for LLM Reasoning0
RL Tango: Reinforcing Generator and Verifier Together for Language ReasoningCode2
MM-Agent: LLM as Agents for Real-world Mathematical Modeling ProblemCode3
Beyond the First Error: Process Reward Models for Reflective Mathematical Reasoning0
SCOPE: Compress Mathematical Reasoning Steps for Efficient Automated Process AnnotationCode0
Text Generation Beyond Discrete Token Sampling0
Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning ModelsCode1
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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