88 citations · 204 across the 21 of their papers we have counts for
21 papers
Self-Knowledge Guided Retrieval Augmentation for Large Language Models
Yile Wang, Peng Li, Maosong Sun +1
Large language models (LLMs) have shown superior performance without task-specific fine-tuning. Despite the success, the knowledge stored in the parameters of LLMs could still be i…
Position-Enhanced Visual Instruction Tuning for Multimodal Large Language Models
Chi Chen, Ruoyu Qin, Fuwen Luo +4
Recently, Multimodal Large Language Models (MLLMs) that enable Large Language Models (LLMs) to interpret images through visual instruction tuning have achieved significant success.…
Weakly Supervised Vision-and-Language Pre-training with Relative Representations
Chi Chen, Peng Li, Maosong Sun +1
Weakly supervised vision-and-language pre-training (WVLP), which learns cross-modal representations with limited cross-modal supervision, has been shown to effectively reduce the d…
An Extensible Plug-and-Play Method for Multi-Aspect Controllable Text Generation
Xuancheng Huang, Zijun Liu, Peng Li +3
Recently, multi-aspect controllable text generation that controls the generated text in multiple aspects (e.g., sentiment, topic, and keywords) has attracted increasing attention.…
Continual Knowledge Distillation for Neural Machine Translation
Yuanchi Zhang, Peng Li, Maosong Sun +1
While many parallel corpora are not publicly accessible for data copyright, data privacy and competitive differentiation reasons, trained translation models are increasingly availa…
A Template-based Method for Constrained Neural Machine Translation
Shuo Wang, Peng Li, Zhixing Tan +3
Machine translation systems are expected to cope with various types of constraints in many practical scenarios. While neural machine translation (NMT) has achieved strong performan…