RePro: Training Language Models to Faithfully Recycle the Web for Pretraining

arXiv:2510.10681 · cs.CL, cs.LG · Submitted 2025-10-12 · Read on arXiv

cs.CL, cs.LG

Submitted: 2025-10-12

Updated: 2026-09-05

Comments: Published at ICML 2026

Code: https://github.com/cxcscmu/RePro

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Core — 16× in this paper · explained in 2 episodes
• Accuracy — 10× in this paper · explained in 1 episode
• Reward Function — 9× in this paper · explained in 2 episodes
• Reinforcement Learning — 7× in this paper · explained in 4 episodes
• Adam — 6× in this paper · explained in 2 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Ablation Studies — 4× in this paper · explained in 1 episode
• Consistency — 4× in this paper · explained in 3 episodes
• Downstream Tasks — 3× in this paper · explained in 2 episodes
• GRPO — 3× in this paper · explained in 6 episodes
• Large Language Models (LLMs) — 3× in this paper · explained in 6 episodes
• Semantic Similarity — 3× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Reinforcement Learning (RL) — 2× in this paper · explained in 25 episodes
• Scaling Laws — 2× in this paper · explained in 4 episodes
• Synthetic Data Generation — 2× in this paper · explained in 5 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Causal Reasoning — 1× in this paper · explained in 2 episodes
• Commentary — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Group Relative Policy Optimization — 1× in this paper
• Group Relative Policy Optimization (GRPO) — 1× in this paper · explained in 5 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Reward Hacking — 1× in this paper · explained in 8 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Supervised Fine-Tuning (SFT) — 1× in this paper · explained in 8 episodes
• Verification — 1× in this paper · explained in 2 episodes

Related papers

• Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
• Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
• Subliminal Steering: Stronger Encoding of Hidden Signals
• MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
• The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
• Untangling the Mechanisms of Misleading Context in Medical Question Answering