MATH

The 'MATH' dataset is a benchmark that contains a collection of mathematical problems used to evaluate the performance of models in solving complex reasoning tasks.

Papers using MATH (37)

Complementing reinforcement learning with SFT through logit averaging in the post training of LLMs2026Enhancing Multi-Step Reasoning Abilities of Language Models through Direct Q-Function Optimization2024 · 2 citesWarm Up Before You Train: Unlocking General Reasoning in Resource-Constrained Settings2025 · 1 citesEntropy-Regularized Process Reward Model2024 · 1 citesDiscovering Process-Outcome Credit in Multi-Step LLM Reasoning2026TMS: Trajectory-Mixed Supervision for Reward-Free, On-Policy SFT2026TRE: Encouraging Exploration in the Trust Region2026Why GRPO Needs Normalization: A Local-Curvature Perspective on Adaptive Gradients2026Group-Aware Reinforcement Learning for Output Diversity in Large Language Models2025 · 1 citesPlan Then Action:High-Level Planning Guidance Reinforcement Learning for LLM Reasoning2025Pinpointing crucial steps: Attribution-based Credit Assignment for Verifiable Reinforcement Learning2025GIFT: Group-Relative Implicit Fine-Tuning Integrates GRPO with DPO and UNA2025It's Not You, It's Clipping: A Soft Trust-Region via Probability Smoothing for LLM RL2025Putting the Value Back in RL: Better Test-Time Scaling by Unifying LLM Reasoners With Verifiers2025Tapered Off-Policy REINFORCE: Stable and efficient reinforcement learning for LLMs2025Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement2024 · 12 citesOpenR: An Open Source Framework for Advanced Reasoning with Large Language Models2024 · 2 citesVinePPO: Refining Credit Assignment in RL Training of LLMs2024 · 1 citesFree Process Rewards without Process Labels2024 · 1 citesOffline Reinforcement Learning for LLM Multi-Step Reasoning2024 · 1 citesCPL: Critical Plan Step Learning Boosts LLM Generalization in Reasoning Tasks2024Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models2025TutorGym: A Testbed for Evaluating AI Agents as Tutors and Students2025RL of Thoughts: Navigating LLM Reasoning with Inference-time Reinforcement Learning2025Know When to Explore: Difficulty-Aware Certainty as a Guide for LLM Reinforcement Learning2025WirelessMathLM: Teaching Mathematical Reasoning for LLMs in Wireless Communications with Reinforcement Learning2025Prompt Curriculum Learning for Efficient LLM Post-Training2025Don't Waste Mistakes: Leveraging Negative RL-Groups via Confidence Reweighting2025Differentiable Evolutionary Reinforcement Learning2025ETR: Outcome-Guided Elastic Trust Regions for Policy Optimization2026Entropy-Gated Selective Policy Optimization:Token-Level Gradient Allocation for Hybrid Training of Large Language Models2026Learning Adaptive LLM Decoding2026Mining Intrinsic Rewards from LLM Hidden States for Efficient Best-of-N Sampling2025Synthetic Data RL: Task Definition Is All You Need2025ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models2025RL for Reasoning by Adaptively Revealing Rationales2025MASPRM: Multi-Agent System Process Reward Model2025