activity
20152023
most citedUnsupervised Data Augmentation for Consistency Training

1.6k citations · 2.1k across the 14 of their papers we have counts for

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10 papers · 1 filter

cs.CL2023★ 6 cited

SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning

Keyu Duan, Qian Liu, Tat-Seng Chua +4

Textual graphs (TGs) are graphs whose nodes correspond to text (sentences or documents), which are widely prevalent. The representation learning of TGs involves two stages: (i) uns…

cs.CL2023

Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question Answering

Hai Ye, Qizhe Xie, Hwee Tou Ng

In this work, we study multi-source test-time model adaptation from user feedback, where K distinct models are established for adaptation. To allow efficient adaptation, we cast th…

cs.CL2023★ 2 cited

Automatic Model Selection with Large Language Models for Reasoning

James Xu Zhao, Yuxi Xie, Kenji Kawaguchi +2

Chain-of-Thought (CoT) and Program-Aided Language Models (PAL) represent two distinct reasoning methods, each with its own strengths. CoT employs natural language, offering flexibi…

cs.CL2023★ 10 cited

Self-Evaluation Guided Beam Search for Reasoning

Yuxi Xie, Kenji Kawaguchi, Yiran Zhao +4

Breaking down a problem into intermediate steps has demonstrated impressive performance in Large Language Model (LLM) reasoning. However, the growth of the reasoning chain introduc…

cs.CL2018★ 3 cited

Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation

Xiang Kong, Qizhe Xie, Zihang Dai +1

Mixture of Softmaxes (MoS) has been shown to be effective at addressing the expressiveness limitation of Softmax-based models. Despite the known advantage, MoS is practically seale…

cs.CL2018★ 3 cited

From Credit Assignment to Entropy Regularization: Two New Algorithms for Neural Sequence Prediction

Zihang Dai, Qizhe Xie, Eduard Hovy

In this work, we study the credit assignment problem in reward augmented maximum likelihood (RAML) learning, and establish a theoretical equivalence between the token-level counter…

cs.CL2017★ 3 cited

Large-scale Cloze Test Dataset Created by Teachers

Qizhe Xie, Guokun Lai, Zihang Dai +1

Cloze tests are widely adopted in language exams to evaluate students' language proficiency. In this paper, we propose the first large-scale human-created cloze test dataset CLOTH,…

cs.CL2017★ 27 cited

An Interpretable Knowledge Transfer Model for Knowledge Base Completion

Qizhe Xie, Xuezhe Ma, Zihang Dai +1

Knowledge bases are important resources for a variety of natural language processing tasks but suffer from incompleteness. We propose a novel embedding model, \emph{ITransF}, to pe…

cs.CL2017★ 109 cited

RACE: Large-scale ReAding Comprehension Dataset From Examinations

Guokun Lai, Qizhe Xie, Hanxiao Liu +2

We present RACE, a new dataset for benchmark evaluation of methods in the reading comprehension task. Collected from the English exams for middle and high school Chinese students i…

cs.CL2015

Recurrent Polynomial Network for Dialogue State Tracking

Kai Sun, Qizhe Xie, Kai Yu

Dialogue state tracking (DST) is a process to estimate the distribution of the dialogue states as a dialogue progresses. Recent studies on constrained Markov Bayesian polynomial (C…