18 citations · 41 across the 16 of their papers we have counts for
4 papers · 1 filter
FLM-101B: An Open LLM and How to Train It with $100K Budget
Xiang Li, Yiqun Yao, Xin Jiang +10
Large language models (LLMs) are considered important approaches towards foundational machine intelligence, achieving remarkable success in Natural Language Processing and multimod…
FreeLM: Fine-Tuning-Free Language Model
Xiang Li, Xin Jiang, Xuying Meng +2
Pre-trained language models (PLMs) have achieved remarkable success in NLP tasks. Despite the great success, mainstream solutions largely follow the pre-training then finetuning pa…
NetGPT: Generative Pretrained Transformer for Network Traffic
Xuying Meng, Chungang Lin, Yequan Wang +1
All data on the Internet are transferred by network traffic, thus accurately modeling network traffic can help improve network services quality and protect data privacy. Pretrained…
GCRE-GPT: A Generative Model for Comparative Relation Extraction
Yequan Wang, Hengran Zhang, Aixin Sun +1
Given comparative text, comparative relation extraction aims to extract two targets (\eg two cameras) in comparison and the aspect they are compared for (\eg image quality). The ex…