activity
20192022
most citedUnsupervised Text Generation by Learning from Search

30 citations · 38 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL20222 cited

Text Revision by On-the-Fly Representation Optimization

Jingjing Li, Zichao Li, Tao Ge +2

Text revision refers to a family of natural language generation tasks, where the source and target sequences share moderate resemblance in surface form but differentiate in attribu…

cs.LG2022

Beam Search for Feature Selection

Nicolas Fraiman, Zichao Li

In this paper, we present and prove some consistency results about the performance of classification models using a subset of features. In addition, we propose to use beam search t…

cs.CL2021

BFClass: A Backdoor-free Text Classification Framework

Zichao Li, Dheeraj Mekala, Chengyu Dong +1

Backdoor attack introduces artificial vulnerabilities into the model by poisoning a subset of the training data via injecting triggers and modifying labels. Various trigger design…

cs.CL202030 cited

Unsupervised Text Generation by Learning from Search

Jingjing Li, Zichao Li, Lili Mou +3

In this work, we present TGLS, a novel framework to unsupervised Text Generation by Learning from Search. We start by applying a strong search algorithm (in particular, simulated a…

cs.CL20193 cited

Decomposable Neural Paraphrase Generation

Zichao Li, Xin Jiang, Lifeng Shang +1

Paraphrasing exists at different granularity levels, such as lexical level, phrasal level and sentential level. This paper presents Decomposable Neural Paraphrase Generator (DNPG),…

cs.CL20193 cited

EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing

Yue Dong, Zichao Li, Mehdi Rezagholizadeh +1

We present the first sentence simplification model that learns explicit edit operations (ADD, DELETE, and KEEP) via a neural programmer-interpreter approach. Most current neural se…