2 citations · 5 across the 6 of their papers we have counts for
7 papers
Oasis: Data Curation and Assessment System for Pretraining of Large Language Models
Tong Zhou, Yubo Chen, Pengfei Cao +3
Data is one of the most critical elements in building a large language model. However, existing systems either fail to customize a corpus curation pipeline or neglect to leverage c…
ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models
Baoli Zhang, Haining Xie, Pengfan Du +6
The unprecedented performance of large language models (LLMs) requires comprehensive and accurate evaluation. We argue that for LLMs evaluation, benchmarks need to be comprehensive…
LMTuner: An user-friendly and highly-integrable Training Framework for fine-tuning Large Language Models
Yixuan Weng, Zhiqi Wang, Huanxuan Liao +4
With the burgeoning development in the realm of large language models (LLMs), the demand for efficient incremental training tailored to specific industries and domains continues to…
Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion
Yinyu Lan, Shizhu He, Xiangrong Zeng +3
Background Knowledge graphs (KGs), especially medical knowledge graphs, are often significantly incomplete, so it necessitating a demand for medical knowledge graph completion (Med…
Joint Entity and Relation Extraction with Set Prediction Networks
Dianbo Sui, Yubo Chen, Kang Liu +3
The joint entity and relation extraction task aims to extract all relational triples from a sentence. In essence, the relational triples contained in a sentence are unordered. Howe…
Copy-Enhanced Heterogeneous Information Learning for Dialogue State Tracking
Qingbin Liu, Shizhu He, Kang Liu +2
Dialogue state tracking (DST) is an essential component in task-oriented dialogue systems, which estimates user goals at every dialogue turn. However, most previous approaches usua…
CBOWRA: A Representation Learning Approach for Medication Anomaly Detection
Liang Zhao, Zhiyuan Ma, Yangming Zhou +3
Electronic health record is an important source for clinical researches and applications, and errors inevitably occur in the data, which could lead to severe damages to both patien…