MAmmoTH2: Scaling Instructions from the Web. - Xiang Yue; Tuney Zheng; Ge Zhang 009; Wenhu Chen (CoRR, 2024)

MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series. - Ge Zhang 009; Scott Qu; Jiaheng Liu; Chenchen Zhang; Chenghua Lin; Chou Leuang Yu; Danny Pan; Esther Cheng; Jie Liu 047; Qunshu Lin; Raven Yuan; Tuney Zheng; et al. (CoRR, 2024)

LongIns: A Challenging Long-context Instruction-based Exam for LLMs. - Shawn Gavin; Tuney Zheng; Jiaheng Liu; Quehry Que; Noah Wang; Jian Yang; Chenchen Zhang; Wenhao Huang 001; Wenhu Chen; Ge Zhang 009 (CoRR, 2024)

LIME: Less Is More for MLLM Evaluation. - King Zhu; Qianbo Zang; Shian Jia; Siwei Wu; Feiteng Fang; Yizhi Li; Shawn Gavin; Tuney Zheng; Jiawei Guo; Bo Li; Haoning Wu; Xingwei Qu; et al. (CoRR, 2024)

A Comparative Study on Reasoning Patterns of OpenAI's o1 Model. - Siwei Wu; Zhongyuan Peng; Xinrun Du; Tuney Zheng; Minghao Liu 003; Jialong Wu 009; Jiachen Ma 005; Yizhi Li; Jian Yang 030; Wangchunshu Zhou; Qunshu Lin; Junbo Zhao 002; et al. (CoRR, 2024)

AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions. - Ziming Li; Qianbo Zang; David Ma; Jiawei Guo; Tuney Zheng; Minghao Liu 003; Xinyao Niu; Yue Wang; Jian Yang 003; Jiaheng Liu; Wanjun Zhong; Wangchunshu Zhou; et al. (CoRR, 2024)

MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale. - Jarvis Guo; Tuney Zheng; Yuelin Bai; Bo Li; Yubo Wang; King Zhu; Yizhi Li; Graham Neubig; Wenhu Chen; Xiang Yue (CoRR, 2024)

SimulBench: Evaluating Language Models with Creative Simulation Tasks. - Qi Jia; Xiang Yue; Tuney Zheng; Jie Huang; Bill Yuchen Lin (NAACL (Findings), 2025)

Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning. - Maggie Huan; Yuetai Li; Tuney Zheng; Xiaoyu Xu; Seungone Kim; Minxin Du; Radha Poovendran; Graham Neubig; Xiang Yue (CoRR, 2025)