20 citations · 40 across the 12 of their papers we have counts for
4 papers · 1 filter
Topic-driven Distant Supervision Framework for Macro-level Discourse Parsing
Feng Jiang, Longwang He, Peifeng Li +2
Discourse parsing, the task of analyzing the internal rhetorical structure of texts, is a challenging problem in natural language processing. Despite the recent advances in neural…
Dynamic Transformers Provide a False Sense of Efficiency
Yiming Chen, Simin Chen, Zexin Li +4
Despite much success in natural language processing (NLP), pre-trained language models typically lead to a high computational cost during inference. Multi-exit is a mainstream appr…
Enhancing Black-Box Few-Shot Text Classification with Prompt-Based Data Augmentation
Danqing Luo, Chen Zhang, Jiahui Xu +4
Training or finetuning large-scale language models (LLMs) such as GPT-3 requires substantial computation resources, motivating recent efforts to explore parameter-efficient adaptat…
Phoenix: Democratizing ChatGPT across Languages
Zhihong Chen, Feng Jiang, Junying Chen +11
This paper presents our efforts to democratize ChatGPT across language. We release a large language model "Phoenix", achieving competitive performance among open-source English and…