LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected? Q Zhang, C Gao, D Chen, Y Huang, Y Huang, Z Sun, S Zhang, W Li, Z Fu, ... NAACL 2024, 2024 | 8* | 2024 |
MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark D Chen, R Chen, S Zhang, Y Liu, Y Wang, H Zhou, Q Zhang, P Zhou, ... ICML 2024 Oral, 2024 | 7 | 2024 |
Aggregate, Decompose, and Fine-Tune: A Simple Yet Effective Factor-Tuning Method for Vision Transformer D Chen arXiv preprint arXiv:2311.06749, 2023 | 1 | 2023 |
UniGen: A Unified Framework for Textual Dataset Generation Using Large Language Models S Wu, Y Huang, C Gao, D Chen, Q Zhang, Y Wan, T Zhou, X Zhang, ... arXiv preprint arXiv:2406.18966, 2024 | | 2024 |
ObscurePrompt: Jailbreaking Large Language Models via Obscure Input Y Huang, J Tang, D Chen, B Tang, Y Wan, L Sun, X Zhang arXiv preprint arXiv:2406.13662, 2024 | | 2024 |
GUI-WORLD: A Dataset for GUI-oriented Multimodal LLM-based Agents D Chen, Y Huang, S Wu, J Tang, L Chen, Y Bai, Z He, C Wang, H Zhou, ... arXiv preprint arXiv:2406.10819, 2024 | | 2024 |
The Best of Both Worlds: Toward an Honest and Helpful Large Language Model C Gao, Q Zhang, D Chen, Y Huang, S Wu, Z Fu, Y Wan, X Zhang, L Sun arXiv preprint arXiv:2406.00380, 2024 | | 2024 |