| How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs H Tu*, C Cui*, Z Wang*, Y Zhou, B Zhao, J Han, W Zhou, H Yao, C Xie European Conference on Computer Vision (ECCV) 2024, 2024 | 66* | 2024 |
| Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence B Peng, D Goldstein, Q Anthony, A Albalak, E Alcaide, S Biderman, ... Conference on Language Modeling (COLM) 2024, 2024 | 64* | 2024 |
| SeSy: Linguistic steganalysis framework integrating semantic and syntactic features J Yang, Z Yang, S Zhang, H Tu, Y Huang IEEE Signal Processing Letters 29, 31-35, 2021 | 36 | 2021 |
| Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning B Zhao*, H Tu*, C Wei, J Mei, C Xie International Conference on Learning Representations (ICLR) 2024 (Spotlight), 2024 | 35 | 2024 |
| What If We Recaption Billions of Web Images with LLaMA-3? X Li*, H Tu*, M Hui*, Z Wang*, B Zhao*, J Xiao, S Ren, J Mei, Q Liu, ... arXiv preprint arXiv:2406.08478, 2024 | 27 | 2024 |
| How Far Are We From AGI: Are LLMs All We Need? T Feng, C Jin, J Liu, K Zhu, H Tu, Z Cheng, G Lin, J You Transactions on Machine Learning Research (TMLR) 2024, 2024 | 20* | 2024 |
| Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics H Tu*, B Zhao*, C Wei, C Xie Transactions on Machine Learning Research (TMLR) 2024, 2023 | 19 | 2023 |
| MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation? Z Chen, Y Du, Z Wen, Y Zhou, C Cui, Z Weng, H Tu, C Wang, Z Tong, ... arXiv preprint arXiv:2407.04842, 2024 | 18* | 2024 |
| Linguistic Steganalysis Toward Social Network J Yang, Z Yang, J Zou, H Tu, Y Huang IEEE Transactions on Information Forensics and Security (TIFS) 18, 859-871, 2022 | 17 | 2022 |
| A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor? Y Xie*, J Wu*, H Tu*, S Yang*, B Zhao, Y Zong, Q Jin, C Xie, Y Zhou arXiv preprint arXiv:2409.15277, 2024 | 12 | 2024 |
| AdaVAE: Exploring Adaptive GPT-2s in Variational Auto-encoders for Language Modeling H Tu, Z Yang, J Yang, Y Huang arXiv preprint arXiv:2205.05862, 2022 | 11 | 2022 |
| ZeroGen: Zero-shot Multimodal Controllable Text Generation with Multiple Oracles H Tu, B Yang, X Zhao Natural Language Processing and Chinese Computing (NLPCC) 2023, 2023 | 9 | 2023 |
| Autoregressive Pretraining with Mamba in Vision S Ren, X Li, H Tu, F Wang, F Shu, L Zhang, J Mei, L Yang, P Wang, ... International Conference on Learning Representations (ICLR), 2025, 2025 | 8 | 2025 |
| VHELM: A Holistic Evaluation of Vision Language Models T Lee*, H Tu*, CH Wong*, W Zheng, Y Zhou, Y Mai, JS Roberts, ... Neural Information Processing Systems (NeurIPS) 2024, 2024 | 7 | 2024 |
| ReSee: Responding through Seeing Fine-grained Visual Knowledge in Open-domain Dialogue H Tu, Y Li, F Mi, Z Yang Empirical Methods in Natural Language Processing (EMNLP) 2023 (Oral), 2023 | 6 | 2023 |
| PCAE: A framework of plug-in conditional auto-encoder for controllable text generation H Tu, Z Yang, J Yang, S Zhang, Y Huang Knowledge-Based Systems 256, 109766, 2022 | 6 | 2022 |
| Libra-leaderboard: Towards responsible ai through a balanced leaderboard of safety and capability H Li, X Han, Z Zhai, H Mu, H Wang, Z Zhang, Y Geng, S Lin, R Wang, ... arXiv preprint arXiv:2412.18551, 2024 | 3 | 2024 |
| FET-LM: Flow-Enhanced Variational Autoencoder for Topic-Guided Language Modeling H Tu, Z Yang, J Yang, L Zhou, Y Huang IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 | 3 | 2023 |
| Pixel-Stega: Generative image steganography based on autoregressive models S Zhang, Z Yang, H Tu, J Yang, Y Huang arXiv preprint arXiv:2112.10945, 2021 | 3 | 2021 |
| AttnGCG: Enhancing jailbreaking attacks on LLMs with attention manipulation Z Wang, H Tu, J Mei, B Zhao, Y Wang, C Xie Transactions on Machine Learning Research (TMLR) 2025, 2025 | 2 | 2025 |
Cihang XieAssistant Professor, University of California, Santa CruzVerificeret mail på ucsc.edu