Prompt Curriculum Learning for Efficient LLM Post-Training
Fuente:
arXiv
Saved in:
| Main Authors: | Gao, Zhaolin, Kim, Joongwon, Sun, Wen, Joachims, Thorsten, Wang, Sid, Pang, Richard Yuanzhe, Tan, Liang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
$p1$: Better Prompt Optimization with Fewer Prompts
by: Gao, Zhaolin, et al.
Published: (2026)
by: Gao, Zhaolin, et al.
Published: (2026)
Reviewer2: Optimizing Review Generation Through Prompt Generation
by: Gao, Zhaolin, et al.
Published: (2024)
by: Gao, Zhaolin, et al.
Published: (2024)
End-to-end Training for Recommendation with Language-based User Profiles
by: Gao, Zhaolin, et al.
Published: (2024)
by: Gao, Zhaolin, et al.
Published: (2024)
$Q\sharp$: Provably Optimal Distributional RL for LLM Post-Training
by: Zhou, Jin Peng, et al.
Published: (2025)
by: Zhou, Jin Peng, et al.
Published: (2025)
REBEL: Reinforcement Learning via Regressing Relative Rewards
by: Gao, Zhaolin, et al.
Published: (2024)
by: Gao, Zhaolin, et al.
Published: (2024)
Language-Based User Profiles for Recommendation
by: Zhou, Joyce, et al.
Published: (2024)
by: Zhou, Joyce, et al.
Published: (2024)
Examining Reasoning LLMs-as-Judges in Non-Verifiable LLM Post-Training
by: Liu, Yixin, et al.
Published: (2026)
by: Liu, Yixin, et al.
Published: (2026)
DUMP: Automated Distribution-Level Curriculum Learning for RL-based LLM Post-training
by: Wang, Zhenting, et al.
Published: (2025)
by: Wang, Zhenting, et al.
Published: (2025)
Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum
by: Pouransari, Hadi, et al.
Published: (2024)
by: Pouransari, Hadi, et al.
Published: (2024)
POTEC: Off-Policy Learning for Large Action Spaces via Two-Stage Policy Decomposition
by: Saito, Yuta, et al.
Published: (2024)
by: Saito, Yuta, et al.
Published: (2024)
Rethinking Local Learning: A Cheaper and Faster Recipe for LLM Post-Training
by: Shi, Hengyu, et al.
Published: (2026)
by: Shi, Hengyu, et al.
Published: (2026)
Knowledge Graph-Assisted LLM Post-Training for Enhanced Legal Reasoning
by: Song, Dezhao, et al.
Published: (2026)
by: Song, Dezhao, et al.
Published: (2026)
Value-Guided Search for Efficient Chain-of-Thought Reasoning
by: Wang, Kaiwen, et al.
Published: (2025)
by: Wang, Kaiwen, et al.
Published: (2025)
Fairness in Ranking under Disparate Uncertainty
by: Rastogi, Richa, et al.
Published: (2023)
by: Rastogi, Richa, et al.
Published: (2023)
Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning
by: Kim, Joongwon, et al.
Published: (2024)
by: Kim, Joongwon, et al.
Published: (2024)
Train Long, Think Short: Curriculum Learning for Efficient Reasoning
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2025)
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2025)
Consolidating Rewarded Perturbations for LLM Post-Training
by: Zhang, Zheyu, et al.
Published: (2026)
by: Zhang, Zheyu, et al.
Published: (2026)
Learning to Reason Efficiently with A* Post-Training
by: Opedal, Andreas, et al.
Published: (2026)
by: Opedal, Andreas, et al.
Published: (2026)
Prompt Optimization with Logged Bandit Data
by: Kiyohara, Haruka, et al.
Published: (2025)
by: Kiyohara, Haruka, et al.
Published: (2025)
MultiScale Contextual Bandits for Long Term Objectives
by: Rastogi, Richa, et al.
Published: (2025)
by: Rastogi, Richa, et al.
Published: (2025)
Alternating Reinforcement Learning for Rubric-Based Reward Modeling in Non-Verifiable LLM Post-Training
by: Xu, Ran, et al.
Published: (2026)
by: Xu, Ran, et al.
Published: (2026)
LLM Prompt Duel Optimizer: Efficient Label-Free Prompt Optimization
by: Wu, Yuanchen, et al.
Published: (2025)
by: Wu, Yuanchen, et al.
Published: (2025)
Efficient Post-Training Pruning of Large Language Models with Statistical Correction
by: Yu, Peiqi, et al.
Published: (2026)
by: Yu, Peiqi, et al.
Published: (2026)
Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF
by: Gao, Zhaolin, et al.
Published: (2024)
by: Gao, Zhaolin, et al.
Published: (2024)
How Learning Rate Decay Wastes Your Best Data in Curriculum-Based LLM Pretraining
by: Luo, Kairong, et al.
Published: (2025)
by: Luo, Kairong, et al.
Published: (2025)
Transformers Struggle to Learn to Search
by: Saparov, Abulhair, et al.
Published: (2024)
by: Saparov, Abulhair, et al.
Published: (2024)
Efficient Reinforcement Finetuning via Adaptive Curriculum Learning
by: Shi, Taiwei, et al.
Published: (2025)
by: Shi, Taiwei, et al.
Published: (2025)
Memory-Efficient LLM Training with Online Subspace Descent
by: Liang, Kaizhao, et al.
Published: (2024)
by: Liang, Kaizhao, et al.
Published: (2024)
GraphDancer: Training LLMs to Explore and Reason over Graphs via Two-Stage Curriculum Post-Training
by: Bai, Yuyang, et al.
Published: (2026)
by: Bai, Yuyang, et al.
Published: (2026)
From Reasoning Chains to Verifiable Subproblems: Curriculum Reinforcement Learning Enables Credit Assignment for LLM Reasoning
by: Jiang, Xitai, et al.
Published: (2026)
by: Jiang, Xitai, et al.
Published: (2026)
Generalizable LLM Learning of Graph Synthetic Data with Post-training Alignment
by: Zhang, Yizhuo, et al.
Published: (2025)
by: Zhang, Yizhuo, et al.
Published: (2025)
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
by: Xi, Zhiheng, et al.
Published: (2024)
by: Xi, Zhiheng, et al.
Published: (2024)
EVPO: Explained Variance Policy Optimization for Adaptive Critic Utilization in LLM Post-Training
by: Pan, Chengjun, et al.
Published: (2026)
by: Pan, Chengjun, et al.
Published: (2026)
iGAiVA: Integrated Generative AI and Visual Analytics in a Machine Learning Workflow for Text Classification
by: Jin, Yuanzhe, et al.
Published: (2024)
by: Jin, Yuanzhe, et al.
Published: (2024)
Learning to Translate from Soft to Hard LLM Prompts
by: Kongsomjit, Pitipat, et al.
Published: (2026)
by: Kongsomjit, Pitipat, et al.
Published: (2026)
DFPO: Scaling Value Modeling via Distributional Flow towards Robust and Generalizable LLM Post-Training
by: Zhu, Dingwei, et al.
Published: (2026)
by: Zhu, Dingwei, et al.
Published: (2026)
Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference
by: Chen, Hao Mark, et al.
Published: (2024)
by: Chen, Hao Mark, et al.
Published: (2024)
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
by: Huang, Wei, et al.
Published: (2024)
by: Huang, Wei, et al.
Published: (2024)
Post-training an LLM for RAG? Train on Self-Generated Demonstrations
by: Finlayson, Matthew, et al.
Published: (2025)
by: Finlayson, Matthew, et al.
Published: (2025)
WISCA: A Lightweight Model Transition Method to Improve LLM Training via Weight Scaling
by: Li, Jiacheng, et al.
Published: (2025)
by: Li, Jiacheng, et al.
Published: (2025)
Similar Items
-
$p1$: Better Prompt Optimization with Fewer Prompts
by: Gao, Zhaolin, et al.
Published: (2026) -
Reviewer2: Optimizing Review Generation Through Prompt Generation
by: Gao, Zhaolin, et al.
Published: (2024) -
End-to-end Training for Recommendation with Language-based User Profiles
by: Gao, Zhaolin, et al.
Published: (2024) -
$Q\sharp$: Provably Optimal Distributional RL for LLM Post-Training
by: Zhou, Jin Peng, et al.
Published: (2025) -
REBEL: Reinforcement Learning via Regressing Relative Rewards
by: Gao, Zhaolin, et al.
Published: (2024)