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Language Models (dot tech)
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Table of Links
Abstract and 1. Introduction
2 Related works
3 Methodology and 3.1 Causal language model as a classification model
3.2 Functional token
3.3 Dataset collection
3.4 Model development and training
4 Experiments and 4.1 Android function calls
4.2 Extension to Vehicle, Yelp, and DoorDash function sets
4.3 Full and partial training datasets and 4.4 Full training and LoRA training
4.5 Parallel and nested function call and 4.6 Weighted loss function for special tokens
5 Discussion and future works and References
Appendix
A.1 Android function examples
A.2 Vehicle function examples
A.2 Vehicle function examples
This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license.
Authors:
(1) Wei Chen, Stanford University, with equal contribution and a corresponding author {weichen6}@stanford.edu;
(2) Zhiyuan Li, Stanford University and a corresponding author {zhiyuan8}@stanford.edu.