Unlock Predictable Scaling from Emergent Abilities. - Shengding Hu; Xin Liu; Xu Han 007; Xinrong Zhang; Chaoqun He; Weilin Zhao; Yankai Lin; Ning Ding 002; Zebin Ou; Guoyang Zeng; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2023)

OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems. - Chaoqun He; Renjie Luo; Yuzhuo Bai; Shengding Hu; Zhen Leng Thai; Junhao Shen; Jinyi Hu; Xu Han 007; Yujie Huang; Yuxiang Zhang; Jie Liu; Lei Qi; et al. (ACL (1), 2024)

Predicting Emergent Abilities with Infinite Resolution Evaluation. - Shengding Hu; Xin Liu; Xu Han 007; Xinrong Zhang; Chaoqun He; Weilin Zhao; Yankai Lin; Ning Ding 002; Zebin Ou; Guoyang Zeng; Zhiyuan Liu 001; Maosong Sun 001 (ICLR, 2024)

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies. - Shengding Hu; Yuge Tu; Xu Han 007; Chaoqun He; Ganqu Cui; Xiang Long; Zhi Zheng; Yewei Fang; Yuxiang Huang; Weilin Zhao; Xinrong Zhang; Zhen Leng Thai; et al. (CoRR, 2024)

UltraEval: A Lightweight Platform for Flexible and Comprehensive Evaluation for LLMs. - Chaoqun He; Renjie Luo; Shengding Hu; Yuanqian Zhao; Jie Zhou 024; Hanghao Wu; Jiajie Zhang; Xu Han 007; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2024)

Optimal RoPE extension via Bayesian Optimization for training-free length generalization. - Xinrong Zhang; Shengding Hu; Weilin Zhao; Huadong Wang; Xu Han 007; Chaoqun He; Guoyang Zeng; Zhiyuan Liu 001; Maosong Sun 001 (AI Open, 2025)

LLM⨉MapReduce-V2: Entropy-Driven Convolutional Test-Time Scaling for Generating Long-Form Articles from Extremely Long Resources. - Haoyu Wang; Yujia Fu; Zhu Zhang; Shuo Wang 013; Zirui Ren; Xiaorong Wang; Zhili Li; Chaoqun He; Bo An 001; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2025)