9 citations · 12 across the 4 of their papers we have counts for
6 papers · 1 filter
Prompt-Based Length Controlled Generation with Multiple Control Types
Renlong Jie, Xiaojun Meng, Lifeng Shang +2
Large language models (LLMs) have attracted great attention given their strong performance on a wide range of NLP tasks. In practice, users often expect generated texts to fall wit…
Prompt-Based Length Controlled Generation with Reinforcement Learning
Renlong Jie, Xiaojun Meng, Lifeng Shang +2
Large language models (LLMs) like ChatGPT and GPT-4 have attracted great attention given their surprising performance on a wide range of NLP tasks. Length controlled generation of…
Lexicon-injected Semantic Parsing for Task-Oriented Dialog
Xiaojun Meng, Wenlin Dai, Yasheng Wang +4
Recently, semantic parsing using hierarchical representations for dialog systems has captured substantial attention. Task-Oriented Parse (TOP), a tree representation with intents a…
Sememe Prediction for BabelNet Synsets using Multilingual and Multimodal Information
Fanchao Qi, Chuancheng Lv, Zhiyuan Liu +3
In linguistics, a sememe is defined as the minimum semantic unit of languages. Sememe knowledge bases (KBs), which are built by manually annotating words with sememes, have been su…
HyperPELT: Unified Parameter-Efficient Language Model Tuning for Both Language and Vision-and-Language Tasks
Zhengkun Zhang, Wenya Guo, Xiaojun Meng +5
The workflow of pretraining and fine-tuning has emerged as a popular paradigm for solving various NLP and V&L (Vision-and-Language) downstream tasks. With the capacity of pretraine…
Learning to Attack: Towards Textual Adversarial Attacking in Real-world Situations
Yuan Zang, Bairu Hou, Fanchao Qi +3
Adversarial attacking aims to fool deep neural networks with adversarial examples. In the field of natural language processing, various textual adversarial attack models have been…