5 papers
Beyond One-Size-Fits-All Pruning via Evolutionary Metric Search for Large Language Models
Shuqi Liu, Bowei He, Han Wu +1
Post-training pruning has emerged as a crucial optimization technique as large language models (LLMs) continue to grow rapidly. However, the significant variations in weight distri…
Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional Chaining
Shuqi Liu, Bowei He, Linqi Song
Large Language Models (LLMs) have shown human-like reasoning abilities but still face challenges in solving complex logical problems. Existing unidirectional chaining methods, such…
Test Reuse Based on Adaptive Semantic Matching across Android Mobile Applications
Shuqi Liu, Yu Zhou, Tingting Han +1
Automatic test generation can help verify and develop the behavior of mobile applications. Test reuse based on semantic similarities between applications of the same category has b…
Towards Better Understanding with Uniformity and Explicit Regularization of Embeddings in Embedding-based Neural Topic Models
Wei Shao, Lei Huang, Shuqi Liu +2
Embedding-based neural topic models could explicitly represent words and topics by embedding them to a homogeneous feature space, which shows higher interpretability. However, ther…
Zero-shot Cross-lingual Conversational Semantic Role Labeling
Han Wu, Haochen Tan, Kun Xu +3
While conversational semantic role labeling (CSRL) has shown its usefulness on Chinese conversational tasks, it is still under-explored in non-Chinese languages due to the lack of…