| Kimi k1. 5: Scaling reinforcement learning with llms K Team, A Du, B Gao, B Xing, C Jiang, C Chen, C Li, C Xiao, C Du, C Liao, ... arXiv preprint arXiv:2501.12599, 2025 | 819* | 2025 |
| Generative pretraining in multimodality Q Sun*, Q Yu*, Y Cui*, F Zhang*, X Zhang*, Y Wang, H Gao, J Liu, ... ICLR, 2024 | 415* | 2024 |
| Kimi k2: Open agentic intelligence K Team, Y Bai, Y Bao, G Chen, J Chen, N Chen, R Chen, Y Chen, Y Chen, ... arXiv preprint arXiv:2507.20534, 2025 | 351 | 2025 |
| Kimi-vl technical report K Team, A Du, B Yin, B Xing, B Qu, B Wang, C Chen, C Zhang, C Du, ... arXiv preprint arXiv:2504.07491, 2025 | 210* | 2025 |
| Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations L Yuan, Y Chen, G Cui, H Gao, F Zou, X Cheng, H Ji, Z Liu, M Sun NeurIPS (Dataset and Benchmark Track) 36, 2023 | 170 | 2023 |
| Spider 2.0: Evaluating language models on real-world enterprise text-to-sql workflows F Lei, J Chen, Y Ye, R Cao, D Shin, H Su, Z Suo, H Gao, W Hu, P Yin, ... ICLR, 2025 | 144 | 2025 |
| Exploring the universal vulnerability of prompt-based learning paradigm L Xu, Y Chen, G Cui, H Gao, Z Liu Findings of NAACL, 2022 | 110 | 2022 |
| Why should adversarial perturbations be imperceptible? rethink the research paradigm in adversarial NLP Y Chen*, H Gao*, G Cui, F Qi, L Huang, Z Liu, M Sun EMNLP, 2022 | 94 | 2022 |
| Guardreasoner: Towards reasoning-based llm safeguards Y Liu, H Gao, S Zhai, J Xia, T Wu, Z Xue, Y Chen, K Kawaguchi, J Zhang, ... arXiv preprint arXiv:2501.18492, 2025 | 60 | 2025 |
| Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows? R Cao, F Lei, H Wu, J Chen, Y Fu, H Gao, X Xiong, H Zhang, Y Mao, W Hu, ... NeurIPS (Dataset and Benchmark Track), 2024 | 60 | 2024 |
| Efficient inference for large reasoning models: A survey Y Liu, J Wu, Y He, H Gao, H Chen, B Bi, J Zhang, Z Huang, B Hooi arXiv preprint arXiv:2503.23077, 2025 | 42 | 2025 |
| Evaluating the robustness of text-to-image diffusion models against real-world attacks H Gao, H Zhang, Y Dong, Z Deng arXiv preprint arXiv:2306.13103, 2023 | 41 | 2023 |
| Universal Prompt Optimizer for Safe Text-to-Image Generation Z Wu*, H Gao*, Y Wang, X Zhang, S Wang NAACL, 2024 | 38 | 2024 |
| Efficient detection of LLM-generated texts with a Bayesian surrogate model Y Miao*, H Gao*, H Zhang, Z Deng Findings of ACL, 2024 | 32 | 2024 |
| AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language Models Z Zeng*, Y Miao*, H Gao, H Zhang, Z Deng Findings of EMNLP, 2024 | 30 | 2024 |
| Guardreasoner-vl: Safeguarding vlms via reinforced reasoning Y Liu, S Zhai, M Du, Y Chen, T Cao, H Gao, C Wang, X Li, K Wang, J Fang, ... NeurIPS, 2025 | 28 | 2025 |
| Textual backdoor attacks can be more harmful via two simple tricks Y Chen*, F Qi*, H Gao, Z Liu, M Sun EMNLP, 2022 | 28 | 2022 |
| Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts H Gao*, T Pang*, C Du, T Hu, Z Deng, M Lin ICCV, 2025 | 25 | 2025 |
| Is factuality decoding a free lunch for llms? evaluation on knowledge editing benchmark B Bi, S Liu, Y Wang, L Mei, J Fang, H Gao, S Ni, X Cheng ICLR, 2025 | 23* | 2025 |
| Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis T Hu, L Li, J van de Weijer, H Gao, FS Khan, J Yang, MM Cheng, K Wang, ... NeurIPS, 2024 | 22 | 2024 |
Zhiyuan LiuTsinghua University | ModelBest | OpenBMBVerified email at tsinghua.edu.cn
