2 citations · 3 across the 2 of their papers we have counts for
6 papers · 1 filter
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…
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…