Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds

29 August 2019

Papers citing "Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds"

8 / 8 papers shown

Title
Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing Han Jiang Xiaoyuan Yi Zhihua Wei Shu Wang Xing Xie Xing Xie ALM ELM 56 5 0 20 Jun 2024
How the Advent of Ubiquitous Large Language Models both Stymie and Turbocharge Dynamic Adversarial Question Generation Yoo Yeon Sung Ishani Mondal Jordan L. Boyd-Graber 30 0 0 20 Jan 2024
Computational modeling of semantic change Nina Tahmasebi Haim Dubossarsky 38 6 0 13 Apr 2023
py-irt: A Scalable Item Response Theory Library for Python John P. Lalor Pedro Rodriguez 33 10 0 02 Mar 2022
Better than Average: Paired Evaluation of NLP Systems Maxime Peyrard Wei Zhao Steffen Eger Robert West ELM 16 24 0 20 Oct 2021
Can Transformer Language Models Predict Psychometric Properties? Antonio Laverghetta Animesh Nighojkar Jamshidbek Mirzakhalov John Licato LM&MA 38 14 0 12 Jun 2021
Natural Language Inference with Mixed Effects William Gantt Benjamin Kane A. White CML 34 11 0 20 Oct 2020
Neural Semantic Encoders Tsendsuren Munkhdalai Hong-ye Yu 222 131 0 14 Jul 2016