activity
20142024
most citedTake Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction

4 citations · 10 across the 6 of their papers we have counts for

collaborators

6 papers

math.NA2024

On the robustness of double-word addition algorithms

Yuanyuan Yang, XinYu Lyu, Sida He +3

We demonstrate that, even when there are moderate overlaps in the inputs of sloppy or accurate double-word addition algorithms in the QD library, these algorithms still guarantee e…

cs.CL20244 cited

Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction

Ziyang Xu, Keqin Peng, Liang Ding +2

Recent research shows that pre-trained language models (PLMs) suffer from "prompt bias" in factual knowledge extraction, i.e., prompts tend to introduce biases toward specific labe…

stat.ME2023

Sampling via Föllmer Flow

Zhao Ding, Yuling Jiao, Xiliang Lu +2

We introduce a novel unit-time ordinary differential equation (ODE) flow called the preconditioned Föllmer flow, which efficiently transforms a Gaussian measure into a desired targ…

math.NA2023

Deep Neural Network Approximation of Composition Functions: with application to PINNs

Chenguang Duan, Yuling Jiao, Xiliang Lu +2

In this paper, we focus on approximating a natural class of functions that are compositions of smooth functions. Unlike the low-dimensional support assumption on the covariate, we…

stat.CO20173 cited

A Constructive Approach to High-dimensional Regression

Jian Huang, Yuling Jiao, Yanyan Liu +1

We develop a constructive approach to estimating sparse, high-dimensional linear regression models. The approach is a computational algorithm motivated from the KKT conditions for…

math.OC20143 cited

A Primal Dual Active Set with Continuation Algorithm for the \ell^0-Regularized Optimization Problem

Yuling Jiao, Bangti Jin, Xiliang Lu

We develop a primal dual active set with continuation algorithm for solving the \ell^0-regularized least-squares problem that frequently arises in compressed sensing. The algorithm…