LLMEffiChecker: Understanding and Testing Efficiency Degradation of Large Language Models
Large Language Models (LLMs) have received much recent attention due to their human-
level accuracy. While existing works mostly focus on either improving accuracy or testing …
level accuracy. While existing works mostly focus on either improving accuracy or testing …
FinPT: Financial Risk Prediction with Profile Tuning on Pretrained Foundation Models
Financial risk prediction plays a crucial role in the financial sector. Machine learning
methods have been widely applied for automatically detecting potential risks and thus …
methods have been widely applied for automatically detecting potential risks and thus …
Neural Machine Translation for Low-Resource Languages from a Chinese-centric Perspective: A Survey
J Zhang, K Su, H Li, J Mao, Y Tian, F Wen… - ACM Transactions on …, 2024 - dl.acm.org
Machine translation—the automatic transformation of one natural language (source
language) into another (target language) through computational means—occupies a central …
language) into another (target language) through computational means—occupies a central …
An Integrated Data Processing Framework for Pretraining Foundation Models
The ability of the foundation models heavily relies on large-scale, diverse, and high-quality
pretraining data. In order to improve data quality, researchers and practitioners often have to …
pretraining data. In order to improve data quality, researchers and practitioners often have to …
Distilling Multi-Step Reasoning Capabilities into Smaller Language Model
Y Yim, Z Wang - Proceedings of the 2024 16th International Conference …, 2024 - dl.acm.org
Commonsense reasoning is an essential and vital ability for humans in daily life. The current
benchmark fails to reflect the actual reasoning ability of the language model equipped, even …
benchmark fails to reflect the actual reasoning ability of the language model equipped, even …
Framing Few-Shot Knowledge Graph Completion with Large Language Models
Knowledge Graph Completion (KGC) from text involves identifying known or unknown
entities (nodes) as well as relations (edges) among these entities. Recent work has started …
entities (nodes) as well as relations (edges) among these entities. Recent work has started …
[PDF][PDF] A 3-Page Introduction to Large Language Models
Z Zhang - researchgate.net
A 3-Page Introduction to Large Language Models Page 1 A 3-Page Introduction to Large
Language Models Ziyin Zhang Shanghai Jiao Tong University ABSTRACT In this report, we …
Language Models Ziyin Zhang Shanghai Jiao Tong University ABSTRACT In this report, we …