| RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models ZM Wang, Z Peng, H Que, J Liu, W Zhou, Y Wu, H Guo, R Gan, Z Ni, ... ACL 2024 (Findings) (posted by Aran Komatsuzaki), 2023 | 409 | 2023 |
| SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines MAP Team, X Du, Y Yao, K Ma, B Wang, T Zheng, K Zhu, M Liu, Y Liang, ... NeurIPS 2025, 2025 | 89* | 2025 |
| Interactive Natural Language Processing Z Wang, G Zhang, K Yang, N Shi, W Zhou, S Hao, G Xiong, Y Li, MY Sim, ... Springer Nature (posted by 机器之心), 2023 | 77 | 2023 |
| Hellobench: Evaluating long text generation capabilities of large language models H Que, F Duan, L He, Y Mou, W Zhou, J Liu, W Rong, ZM Wang, J Yang, ... arXiv preprint arXiv:2409.16191, 2024 | 65 | 2024 |
| A comprehensive survey on long context language modeling J Liu, D Zhu, Z Bai, Y He, H Liao, H Que, Z Wang, C Zhang, G Zhang, ... arXiv preprint arXiv:2503.17407, 2025 | 63 | 2025 |
| PsychoGAT: A Novel Psychological Measurement Paradigm through Interactive Fiction Games with LLM Agents Q Yang*, Z Wang*, H Chen, S Wang, Y Pu, X Gao, W Huang, S Song, ... ACL 2024 (Main) (*equal contribution, ordered alphabetically) (posted by 量子位), 2024 | 56* | 2024 |
| MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series G Zhang, S Qu, J Liu, C Zhang, C Lin, CL Yu, D Pan, E Cheng, J Liu, ... Foundation Model (posted by AK), 2024 | 55 | 2024 |
| McEval: Massively Multilingual Code Evaluation L Chai, S Liu, J Yang, Y Yin, K Jin, J Liu, T Sun, G Zhang, C Ren, H Guo, ... ICLR 2025, 2024 | 53 | 2024 |
| OmniBench: Towards The Future of Universal Omni-Language Models Y Li, G Zhang, Y Ma, R Yuan, K Zhu, H Guo, Y Liang, J Liu, Z Wang, ... NeurIPS 2025, 2024 | 49 | 2024 |
| Chinese open instruction generalist: A preliminary release G Zhang, Y Shi, R Liu, R Yuan, Y Li, S Dong, Y Shu, Z Li, Z Wang, C Lin, ... Instruction Data (posted by AK), 2023 | 41 | 2023 |
| COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning Y Bai, X Du, Y Liang, Y Jin, Z Liu, J Zhou, T Zheng, X Zhang, N Ma, ... NAACL 2025 (Findings) (posted by 量子位, 机器之心), 2024 | 34* | 2024 |
| Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey L Chen+, Z Wang*, S Ren*, L Li*, H Zhao*, Y Li*, Z Cai, H Guo, L Zhang, ... arXiv preprint arXiv:2412.18619, 2024 | 33 | 2024 |
| MIO: A foundation model on multimodal tokens Z Wang, K Zhu, C Xu, W Zhou, J Liu, Y Zhang, J Wang, N Shi, S Li, Y Li, ... EMNLP 2025 (Oral), 2024 | 25* | 2024 |
| CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark G Zhang, X Du, B Chen, Y Liang, T Luo, T Zheng, K Zhu, Y Cheng, C Xu, ... arXiv (posted by AK), 2024 | 25 | 2024 |
| CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models Y Li, G Zhang, X Qu, J Li, Z Li, Z Wang, H Li, R Yuan, Y Ma, K Zhang, ... ACL 2024 (Findings), 2024 | 23 | 2024 |
| Align on the Fly: Adapting Chatbot Behavior to Established Norms C Xu, S Chern, E Chern, G Zhang, Z Wang, R Liu, J Li, J Fu, P Liu arXiv (posted by 机器之心), 2023 | 21 | 2023 |
| M2rc-eval: Massively multilingual repository-level code completion evaluation J Liu, K Deng, C Liu, J Yang, S Liu, H Zhu, P Zhao, L Chai, Y Wu, K Jin, ... ACL 2025 (Main), 2024 | 17 | 2024 |
| MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models P Wang*, Y Wu*, Z Wang*, J Liu, X Song, Z Peng, K Deng, C Zhang, ... ICLR 2025 (* equal contribution), 2024 | 15 | 2024 |
| RoleAgent: Building, Interacting, and Benchmarking High-quality Role-Playing Agents from Scripts J Liu, Z Ni, H Que, T Sun, N Wang, J Yang, H Guo, ZY Peng, G Zhang, ... NeurIPS 2024, 0 | 14* | |
| II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models Z Liu, F Fang, X Feng, X Du, C Zhang, Z Wang, Y Bai, Q Zhao, L Fan, ... NeurIPS 2024, 2024 | 13 | 2024 |
Ge ZhangM-A-P, Bytedance Seed, University of WaterlooVerified email at bytedance.com
