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Mathematical Reasoning

Papers

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Showing 451–500 of 805 papers

TitleStatusHype
Beyond Gold Standards: Epistemic Ensemble of LLM Judges for Formal Mathematical Reasoning—0
Beyond Lines and Circles: Unveiling the Geometric Reasoning Gap in Large Language Models—0
Beyond the First Error: Process Reward Models for Reflective Mathematical Reasoning—0
BitNet b1.58 2B4T Technical Report—0
Fewer is More: Boosting LLM Reasoning with Reinforced Context Pruning—0
Boosting Lossless Speculative Decoding via Feature Sampling and Partial Alignment Distillation—0
Bottlenecked Transformers: Periodic KV Cache Abstraction for Generalised Reasoning—0
Brains vs. Bytes: Evaluating LLM Proficiency in Olympiad Mathematics—0
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models—0
Building Math Agents with Multi-Turn Iterative Preference Learning—0
Can Language Models Rival Mathematics Students? Evaluating Mathematical Reasoning through Textual Manipulation and Human Experiments—0
Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations—0
Can Large Language Models Invent Algorithms to Improve Themselves?—0
Can LLMs understand Math? -- Exploring the Pitfalls in Mathematical Reasoning—0
Can Pruning Improve Reasoning? Revisiting Long-CoT Compression with Capability in Mind for Better Reasoning—0
Can Theoretical Physics Research Benefit from Language Agents?—0
Causal Head Gating: A Framework for Interpreting Roles of Attention Heads in Transformers—0
Causal Inference with Large Language Model: A Survey—0
CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning—0
Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective—0
CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities—0
Channel Merging: Preserving Specialization for Merged Experts—0
CLEAR: Contrasting Textual Feedback with Experts and Amateurs for Reasoning—0
Coarse-to-Fine Process Reward Modeling for Enhanced Mathematical Reasoning—0
CodeGemma: Open Code Models Based on Gemma—0
CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning—0
Composing Ensembles of Pre-trained Models via Iterative Consensus—0
Concept Distillation from Strong to Weak Models via Hypotheses-to-Theories Prompting—0
Conjectures, Tests and Proofs: An Overview of Theory Exploration—0
ControlMath: Controllable Data Generation Promotes Math Generalist Models—0
CoRE: Enhancing Metacognition with Label-free Self-evaluation in LRMs—0
CPL: Critical Plan Step Learning Boosts LLM Generalization in Reasoning Tasks—0
DeepDistill: Enhancing LLM Reasoning Capabilities via Large-Scale Difficulty-Graded Data Training—0
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data—0
Describe-then-Reason: Improving Multimodal Mathematical Reasoning through Visual Comprehension Training—0
Diversity-Aware Policy Optimization for Large Language Model Reasoning—0
Diversity of Thought Elicits Stronger Reasoning Capabilities in Multi-Agent Debate Frameworks—0
Do Large Language Models Truly Grasp Mathematics? An Empirical Exploration From Cognitive Psychology—0
Don't Look Only Once: Towards Multimodal Interactive Reasoning with Selective Visual Revisitation—0
Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models—0
DRP: Distilled Reasoning Pruning with Skill-aware Step Decomposition for Efficient Large Reasoning Models—0
Dual Instruction Tuning with Large Language Models for Mathematical Reasoning—0
DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models—0
Dynamic Sampling that Adapts: Iterative DPO for Self-Aware Mathematical Reasoning—0
Efficient Long CoT Reasoning in Small Language Models—0
Efficient Model-agnostic Alignment via Bayesian Persuasion—0
Efficient Tool Use with Chain-of-Abstraction Reasoning—0
Eliciting Reasoning in Language Models with Cognitive Tools—0
Embedding Self-Correction as an Inherent Ability in Large Language Models for Enhanced Mathematical Reasoning—0
Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory—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
5s1-32BAcc56.7—Unverified
6Search-o1Acc56.7—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
3o1-previewAccuracy0.01—Unverified
4GPT-4oAccuracy0.01—Unverified
5Claude 3.5 SonnetAccuracy0.01—Unverified
6o1-miniAccuracy0.01—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