Statistical Depth for Ranking and Characterizing Transformer-Based Text Embeddings

23 October 2023

Papers citing "Statistical Depth for Ranking and Characterizing Transformer-Based Text Embeddings"

7 / 7 papers shown

Title
In-Context Learning for Preserving Patient Privacy: A Framework for Synthesizing Realistic Patient Portal Messages Joseph Gatto Parker Seegmiller Timothy E. Burdick S. Preum 23 0 0 10 Nov 2024
Depth $F_1$ : Improving Evaluation of Cross-Domain Text Classification by Measuring Semantic Generalizability Parker Seegmiller Joseph Gatto S. Preum VLM 27 0 0 20 Jun 2024
Large Language Models for Document-Level Event-Argument Data Augmentation for Challenging Role Types Joseph Gatto Parker Seegmiller Omar Sharif S. Preum 24 0 0 05 Mar 2024
Using Semantic Information for Defining and Detecting OOD Inputs Ramneet Kaur Xiayan Ji Souradeep Dutta Michele Caprio Yahan Yang E. Bernardis O. Sokolsky Insup Lee OODD 17 7 0 21 Feb 2023
Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework Yiming Chen Yan Zhang Bin Wang Zuozhu Liu Haizhou Li 29 25 0 30 Oct 2022
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,913 0 31 Dec 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,943 0 20 Apr 2018