PAC: Progress-Augmented Advantage Curriculum for Multi-Task Reinforcement Learning of LLMs
cs.LG
Submitted: 2026-08-31
Updated: 2026-08-31
Comments: Accepted at EMNLP 2026 (Main)
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning
- Self-Evolving Curriculum for LLM Reasoning
- On the Measure of Intelligence
- Measuring Mathematical Problem Solving With the MATH Dataset
- Tulu 3: Pushing Frontiers in Open Language Model Post-Training
- Omni-Thinker: Scaling Multi-Task RL in LLMs with Hybrid Reward and Task Scheduling
- Let's Verify Step by Step
- Understanding R1-Zero-Like Training: A Critical Perspective
- WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
- Complementary RL: Towards Efficient Experience-Driven Agent Learning
- Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning
- Can Prompt Difficulty be Online Predicted for Accelerating RL Finetuning of Reasoning Models?
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- BOTS: A Unified Framework for Bayesian Online Task Selection in LLM Reinforcement Finetuning
- Efficient Reinforcement Finetuning via Adaptive Curriculum Learning
- FastCuRL: Curriculum Reinforcement Learning with Stage-wise Context Scaling for Efficient Training R1-like Reasoning Models
- DUMP: Automated Distribution-Level Curriculum Learning for RL-based LLM Post-training
- Qwen3 Technical Report
- Qwen2.5 Technical Report
- DAPO: An Open-Source LLM Reinforcement Learning System at Scale
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