3 papers
cs.AI2026
NebulaExp-8B: An Empirical Post-Training Pipeline via Full-Scale Ablation Research
Qiaobo Hao, Yangqian Wu, Shunyi Wang +5
Post-training alignment determines the reasoning and human preference following capabilities of large language models, yet most existing works withhold detailed data construction,…
cs.LG2026
Bridging SFT and RL: Dynamic Policy Optimization for Robust Reasoning
Taojie Zhu, Dongyang Xu, Ding Zou +4
Post-training paradigms for Large Language Models (LLMs), primarily Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL), face a fundamental dilemma: SFT provides stability…
cs.AI2025
CCrepairBench: A High-Fidelity Benchmark and Reinforcement Learning Framework for C++ Compilation Repair
Weixuan Sun, Jucai Zhai, Dengfeng Liu +6
The automated repair of C++ compilation errors presents a significant challenge, the resolution of which is critical for developer productivity. Progress in this domain is constrai…