1 citations · 2 across the 10 of their papers we have counts for
4 papers · 1 filter
Counting Ability of Large Language Models and Impact of Tokenization
Xiang Zhang, Juntai Cao, Chenyu You
Transformers, the backbone of modern large language models (LLMs), face inherent architectural limitations that impede their reasoning capabilities. Unlike recurrent networks, Tran…
Supervised Chain of Thought
Xiang Zhang, Dujian Ding
Large Language Models (LLMs) have revolutionized natural language processing and hold immense potential for advancing Artificial Intelligence. However, the core architecture of mos…
Can LLMs substitute SQL? Comparing Resource Utilization of Querying LLMs versus Traditional Relational Databases
Xiang Zhang, Khatoon Khedri, Reza Rawassizadeh
Large Language Models (LLMs) can automate or substitute different types of tasks in the software engineering process. This study evaluates the resource utilization and accuracy of…
From Discrete to Continuous: Deep Fair Clustering With Transferable Representations
Xiang Zhang
We consider the problem of deep fair clustering, which partitions data into clusters via the representations extracted by deep neural networks while hiding sensitive data attribute…