Crypto Trends

Fine-tuned GPT-3.5 Performance: Praise Component Identification Results

2. Background

3. Method

4. Results

Authors:

(1) Jionghao Lin, Carnegie Mellon University ([email protected]);

(2) Eason Chen, Carnegie Mellon University ([email protected]);

(3) Zeifei Han, University of Toronto ([email protected]);

(4) Ashish Gurung, Carnegie Mellon University ([email protected]);

(5) Danielle R. Thomas, Carnegie Mellon University ([email protected]);

(6) Wei Tan, Monash University ([email protected]);

(7) Ngoc Dang Nguyen, Monash University ([email protected]);

(8) Kenneth R. Koedinger, Carnegie Mellon University ([email protected]).

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