Qingxiu Dong

SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning

Data Selection via Optimal Control for Language Models

Think Only When You Need with Large Hybrid-Reasoning Models

Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models

Self-Boosting Large Language Models with Synthetic Preference Data

Scaling Laws of Synthetic Data for Language Model

Reward Reasoning Models

Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models