Temperature-scaling surprisal estimates improve fit to human reading times -- but does it do so for the "right reasons"?

15 November 2023

Papers citing "Temperature-scaling surprisal estimates improve fit to human reading times -- but does it do so for the "right reasons"?"

7 / 7 papers shown

Title
The New Agronomists: Language Models are Experts in Crop Management Jing Wu Zhixin Lai Suiyao Chen Ran Tao Pan Zhao N. Hovakimyan 24 19 0 28 Mar 2024
Adaptive Ensembles of Fine-Tuned Transformers for LLM-Generated Text Detection Zhixin Lai Xuesheng Zhang Suiyao Chen DeLMO 22 30 0 20 Mar 2024
On the Calibration of Large Language Models and Alignment Chiwei Zhu Benfeng Xu Quan Wang Yongdong Zhang Zhendong Mao 61 32 0 22 Nov 2023
Psychometric Predictive Power of Large Language Models Tatsuki Kuribayashi Yohei Oseki Timothy Baldwin LM&MA 11 3 0 13 Nov 2023
Re-Examining Calibration: The Case of Question Answering Chenglei Si Chen Zhao Sewon Min Jordan L. Boyd-Graber 44 30 0 25 May 2022
Context Limitations Make Neural Language Models More Human-Like Tatsuki Kuribayashi Yohei Oseki Ana Brassard Kentaro Inui 39 28 0 23 May 2022
Language GANs Falling Short Massimo Caccia Lucas Page-Caccia W. Fedus Hugo Larochelle Joelle Pineau Laurent Charlin 112 214 0 06 Nov 2018