MMICL: Empowering Vision-Language Model with Multi-Modal In-Context Learning H Zhao*, Z Cai*, S Si*, X Ma, K An, L Chen, Z Liu, S Wang, W Han, ... ICLR'24, (* indicates co-first author), 2024 | 77* | 2024 |
One Shot Learning as Instruction Data Prospector for Large Language Models Y Li, B Hui, X Xia, J Yang, M Yang, L Zhang, S Si, J Liu, T Liu, F Huang, ... ACL'24, 2024 | 19* | 2024 |
SpokenWOZ: A Large-Scale Speech-Text Benchmark for Spoken Task-Oriented Dialogue Agents S Si, W Ma, Y Wu, Y Dai, H Gao, TE Lin, H Li, R Yan, F Huang, Y Li NeurIPS'23, 2023 | 16* | 2023 |
Differential Privacy Protection over Deep Learning: An Investigation of Its Impacted Factors Y Lin, L Bao, Z Li, S Si, CH Chu Computers & Security, 2022 | 12 | 2022 |
Mining Clues from Incomplete Utterance: A Query-Enhanced Network for Incomplete Utterance Rewriting S Si, S Zeng, B Chang NAACL'22, 2022 | 9 | 2022 |
ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code X Tang, Y Liu, Z Cai, Y Shao, J Lu, Y Zhang, Z Deng, H Hu, K An, ... arXiv: 2311.09835, 2023 | 7* | 2023 |
SCL-RAI: Span-Based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NER S Si, S Zeng, J Lin, B Chang COLING'22, 2022 | 6 | 2022 |
SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition S Si, Z Cai, S Zeng, G Feng, J Lin, B Chang ACL'23 (Findings), 2023 | 5 | 2023 |
UniPCM: Universal Pre-Trained Conversation Model with Task-Aware Automatic Prompt Y Cai, W Ma, Y Wu, S Si, Y Shao, Z Ou, Y Li COLING'24, 2024 | 3* | 2024 |
UltraEdit: Instruction-based Fine-Grained Image Editing at Scale H Zhao, X Ma, L Chen, S Si, R Wu, K An, P Yu, M Zhang, Q Li, B Chang arXiv preprint arXiv:2407.05282, 2024 | | 2024 |
Mitigating Language-Level Performance Disparity in mPLMs via Teacher Language Selection and Cross-lingual Self-Distillation H Zhao*, Z Cai*, S Si*, L Chen, Y He, K An, B Chang NAACL'24, (* indicates co-first author), 2024 | | 2024 |
Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning S Si, H Hu, H Zhao, S Zeng, K An, Z Cai, B Chang ACL'24 (Findings), 2024 | | 2024 |