35 citations · 39 across the 4 of their papers we have counts for
4 papers
Language Model Detoxification in Dialogue with Contextualized Stance Control
Jing Qian, Xifeng Yan
To reduce the toxic degeneration in a pretrained Language Model (LM), previous work on Language Model detoxification has focused on reducing the toxicity of the generation itself (…
Explanations from Large Language Models Make Small Reasoners Better
Shiyang Li, Jianshu Chen, Yelong Shen +9
Integrating free-text explanations to in-context learning of large language models (LLM) is shown to elicit strong reasoning capabilities along with reasonable explanations. In thi…
Controllable Dialogue Simulation with In-Context Learning
Zekun Li, Wenhu Chen, Shiyang Li +3
Building dialogue systems requires a large corpus of annotated dialogues. Such datasets are usually created via crowdsourcing, which is expensive and time-consuming. In this paper,…
Limitations of Language Models in Arithmetic and Symbolic Induction
Jing Qian, Hong Wang, Zekun Li +2
Recent work has shown that large pretrained Language Models (LMs) can not only perform remarkably well on a range of Natural Language Processing (NLP) tasks but also start improvin…