133 citations · 462 across the 38 of their papers we have counts for
7 papers · 1 filter
Baichuan 2: Open Large-scale Language Models
Aiyuan Yang, Bin Xiao, Bingning Wang +52
Large language models (LLMs) have demonstrated remarkable performance on a variety of natural language tasks based on just a few examples of natural language instructions, reducing…
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering
Fangkai Yang, Pu Zhao, Zezhong Wang +6
Large Language Model (LLM) has gained popularity and achieved remarkable results in open-domain tasks, but its performance in real industrial domain-specific scenarios is average d…
Revisiting Attention Weights as Explanations from an Information Theoretic Perspective
Bingyang Wen, K. P. Subbalakshmi, Fan Yang
Attention mechanisms have recently demonstrated impressive performance on a range of NLP tasks, and attention scores are often used as a proxy for model explainability. However, th…
Density-Based Dynamic Curriculum Learning for Intent Detection
Yantao Gong, Cao Liu, Jiazhen Yuan +6
Pre-trained language models have achieved noticeable performance on the intent detection task. However, due to assigning an identical weight to each sample, they suffer from the ov…
Pattern-aware Data Augmentation for Query Rewriting in Voice Assistant Systems
Yunmo Chen, Sixing Lu, Fan Yang +3
Query rewriting (QR) systems are widely used to reduce the friction caused by errors in a spoken language understanding pipeline. However, the underlying supervised models require…
Multi-Aspect Sentiment Analysis with Latent Sentiment-Aspect Attribution
Yifan Zhang, Fan Yang, Marjan Hosseinia +1
In this paper, we introduce a new framework called the sentiment-aspect attribution module (SAAM). SAAM works on top of traditional neural networks and is designed to address the p…