activity
20182021
most citedDeVLBert: Learning Deconfounded Visio-Linguistic Representations

64 citations · 225 across the 19 of their papers we have counts for

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12 papers · 1 filter

cs.CL2021

ConRPG: Paraphrase Generation using Contexts as Regularizer

Yuxian Meng, Xiang Ao, Qing He +5

A long-standing issue with paraphrase generation is how to obtain reliable supervision signals. In this paper, we propose an unsupervised paradigm for paraphrase generation based o…

cs.CL2021

Layer-wise Model Pruning based on Mutual Information

Chun Fan, Jiwei Li, Xiang Ao +3

The proposed pruning strategy offers merits over weight-based pruning techniques: (1) it avoids irregular memory access since representations and matrices can be squeezed into thei…

cs.CL20215 cited

Folden: -Fold Ensemble for Out-Of-Distribution Detection

Xiaoya Li, Jiwei Li, Xiaofei Sun +5

Out-of-Distribution (OOD) detection is an important problem in natural language processing (NLP). In this work, we propose a simple yet effective framework Folden, which mimics…

cs.CL202112 cited

Modeling Text-visual Mutual Dependency for Multi-modal Dialog Generation

Shuhe Wang, Yuxian Meng, Xiaofei Sun +5

Multi-modal dialog modeling is of growing interest. In this work, we propose frameworks to resolve a specific case of multi-modal dialog generation that better mimics multi-modal d…

cs.CL202025 cited

Self-Explaining Structures Improve NLP Models

Zijun Sun, Chun Fan, Qinghong Han +4

Existing approaches to explaining deep learning models in NLP usually suffer from two major drawbacks: (1) the main model and the explaining model are decoupled: an additional prob…

cs.CL2020

OpenViDial: A Large-Scale, Open-Domain Dialogue Dataset with Visual Contexts

Yuxian Meng, Shuhe Wang, Qinghong Han +4

When humans converse, what a speaker will say next significantly depends on what he sees. Unfortunately, existing dialogue models generate dialogue utterances only based on precedi…