SOTAVerified

Math

Papers

Showing 101150 of 1596 papers

TitleStatusHype
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning TasksCode3
Reinforcement Learning for Reasoning in Large Language Models with One Training ExampleCode3
Spurious Rewards: Rethinking Training Signals in RLVRCode3
ToRL: Scaling Tool-Integrated RLCode3
Scaling up Masked Diffusion Models on TextCode3
Evaluating Mathematical Reasoning Beyond AccuracyCode2
PaLM: Scaling Language Modeling with PathwaysCode2
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language ModelsCode2
Essential-Web v1.0: 24T tokens of organized web dataCode2
AGIEval: A Human-Centric Benchmark for Evaluating Foundation ModelsCode2
Offline Reinforcement Learning for LLM Multi-Step ReasoningCode2
CMM-Math: A Chinese Multimodal Math Dataset To Evaluate and Enhance the Mathematics Reasoning of Large Multimodal ModelsCode2
Nexus: A Lightweight and Scalable Multi-Agent Framework for Complex Tasks AutomationCode2
Enhancing Multi-Step Reasoning Abilities of Language Models through Direct Q-Function OptimizationCode2
Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic CorpusCode2
ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique PipelineCode2
Multi-View Reasoning: Consistent Contrastive Learning for Math Word ProblemCode2
OctoThinker: Mid-training Incentivizes Reinforcement Learning ScalingCode2
Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning ProcessCode2
Agent RL Scaling Law: Agent RL with Spontaneous Code Execution for Mathematical Problem SolvingCode2
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision ModelsCode2
On the Emergence of Thinking in LLMs I: Searching for the Right IntuitionCode2
MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought ReasoningCode2
Meta-Design Matters: A Self-Design Multi-Agent SystemCode2
Memorizing TransformersCode2
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language ModelsCode2
An Expression Tree Decoding Strategy for Mathematical Equation GenerationCode2
Efficient Reinforcement Finetuning via Adaptive Curriculum LearningCode2
Meta Prompting for AI SystemsCode2
MM-Vet: Evaluating Large Multimodal Models for Integrated CapabilitiesCode2
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual ContextsCode2
Measuring Mathematical Problem Solving With the MATH DatasetCode2
MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math DataCode2
Measuring Multimodal Mathematical Reasoning with MATH-Vision DatasetCode2
Dynamic Early Exit in Reasoning ModelsCode2
Accelerating Sparse Deep Neural NetworksCode2
Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language ModelsCode2
Advancing Language Model Reasoning through Reinforcement Learning and Inference ScalingCode2
Easy-to-Hard Generalization: Scalable Alignment Beyond Human SupervisionCode2
Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language ModelsCode2
MegaMath: Pushing the Limits of Open Math CorporaCode2
MAS-Zero: Designing Multi-Agent Systems with Zero SupervisionCode2
MAmmoTH: Building Math Generalist Models through Hybrid Instruction TuningCode2
Can AI Assistants Know What They Don't Know?Code2
LoRA-XS: Low-Rank Adaptation with Extremely Small Number of ParametersCode2
Agent Lumos: Unified and Modular Training for Open-Source Language AgentsCode2
AdaptThink: Reasoning Models Can Learn When to ThinkCode2
MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical ProblemsCode2
MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics BenchmarkCode2
LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-TrainingCode2
Show:102550
← PrevPage 3 of 32Next →

No leaderboard results yet.