b'Deng Cai'

research

∙ 09/03/2023

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

While large language models (LLMs) have demonstrated remarkable capabili...

0 Yue Zhang, et al. ∙

research

∙ 08/16/2023

TeCH: Text-guided Reconstruction of Lifelike Clothed Humans

Despite recent research advancements in reconstructing clothed humans fr...

0 Yangyi Huang, et al. ∙

research

∙ 08/01/2023

NormKD: Normalized Logits for Knowledge Distillation

Logit based knowledge distillation gets less attention in recent years s...

0 Zhihao Chi, et al. ∙

research

∙ 07/16/2023

Disco-Bench: A Discourse-Aware Evaluation Benchmark for Language Modelling

Modeling discourse – the linguistic phenomena that go beyond individual ...

0 Longyue Wang, et al. ∙

research

∙ 07/13/2023

Copy Is All You Need

The dominant text generation models compose the output by sequentially s...

0 Tian Lan, et al. ∙

research

∙ 05/25/2023

PandaGPT: One Model To Instruction-Follow Them All

We present PandaGPT, an approach to emPower large lANguage moDels with v...

0 Yixuan Su, et al. ∙

research

∙ 05/22/2023

Multi-Task Instruction Tuning of LLaMa for Specific Scenarios: A Preliminary Study on Writing Assistance

ChatGPT and GPT-4 have attracted substantial interest from both academic...

0 Yue Zhang, et al. ∙

research

∙ 05/22/2023

A Frustratingly Simple Decoding Method for Neural Text Generation

We introduce a frustratingly simple, super efficient and surprisingly ef...

0 Haoran Yang, et al. ∙

research

∙ 02/07/2023

LUT-NN: Towards Unified Neural Network Inference by Table Lookup

DNN inference requires huge effort of system development and resource co...

0 Xiaohu Tang, et al. ∙

research

∙ 12/06/2022

Self-supervised and Weakly Supervised Contrastive Learning for Frame-wise Action Representations

Previous work on action representation learning focused on global repres...

0 Minghao Chen, et al. ∙

research

∙ 11/14/2022

Boosting Semi-Supervised 3D Object Detection with Semi-Sampling

Current 3D object detection methods heavily rely on an enormous amount o...

0 Xiaopei Wu, et al. ∙

research

∙ 10/26/2022

Residual Learning of Neural Text Generation with n-gram Language Model

N-gram language models (LM) have been largely superseded by neural LMs a...

0 Huayang Li, et al. ∙

research

∙ 10/18/2022

Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation

We introduce a new method to improve existing multilingual sentence embe...

6 Deng Cai, et al. ∙

research

∙ 07/21/2022

Towards Efficient Adversarial Training on Vision Transformers

Vision Transformer (ViT), as a powerful alternative to Convolutional Neu...

5 Boxi Wu, et al. ∙

research

∙ 07/18/2022

DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection

Monocular 3D detection has drawn much attention from the community due t...

2 Liang Peng, et al. ∙

research

∙ 06/06/2022

Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation

While large-scale neural language models, such as GPT2 and BART, have ac...

5 Jin Xu, et al. ∙

research

∙ 04/19/2022

Neural Collapse Inspired Attraction-Repulsion-Balanced Loss for Imbalanced Learning

Class imbalance distribution widely exists in real-world engineering. Ho...

11 Liang Xie, et al. ∙

research

∙ 03/28/2022

Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning

Prior works on action representation learning mainly focus on designing ...

2 Minghao Chen, et al. ∙

research

∙ 03/23/2022

Linearizing Transformer with Key-Value Memory Bank

Transformer has brought great success to a wide range of natural languag...

14 Yizhe Zhang, et al. ∙

research

∙ 03/18/2022

Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion

Current LiDAR-only 3D detection methods inevitably suffer from the spars...

5 Xiaopei Wu, et al. ∙

research

∙ 03/16/2022

WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection

Monocular 3D object detection is one of the most challenging tasks in 3D...

3 Liang Peng, et al. ∙

research

∙ 02/07/2022

Measuring and Reducing Model Update Regression in Structured Prediction for NLP

Recent advance in deep learning has led to rapid adoption of machine lea...

12 Deng Cai, et al. ∙

research

∙ 02/02/2022

A Survey on Retrieval-Augmented Text Generation

Recently, retrieval-augmented text generation attracted increasing atten...

6 Huayang Li, et al. ∙

research

∙ 12/14/2021

TopNet: Learning from Neural Topic Model to Generate Long Stories

Long story generation (LSG) is one of the coveted goals in natural langu...

19 Yazheng Yang, et al. ∙

research

∙ 10/13/2021

Exploring Dense Retrieval for Dialogue Response Selection

Recent research on dialogue response selection has been mainly focused o...

7 Tian Lan, et al. ∙

research

∙ 09/30/2021

Multilingual AMR Parsing with Noisy Knowledge Distillation

We study multilingual AMR parsing from the perspective of knowledge dist...

8 Deng Cai, et al. ∙

research

∙ 09/29/2021

Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System

Pre-trained language models have been recently shown to benefit task-ori...

4 Yixuan Su, et al. ∙

research

∙ 09/07/2021

Exploiting Reasoning Chains for Multi-hop Science Question Answering

We propose a novel Chain Guided Retriever-reader (CGR) framework to mode...

4 Weiwen Xu, et al. ∙

research

∙ 08/30/2021

ASR-GLUE: A New Multi-task Benchmark for ASR-Robust Natural Language Understanding

Language understanding in speech-based systems have attracted much atten...

3 Lingyun Feng, et al. ∙

research

∙ 06/09/2021

Salient Object Ranking with Position-Preserved Attention

Instance segmentation can detect where the objects are in an image, but ...

11 Hao Fang, et al. ∙

research

∙ 06/09/2021

Attacking Adversarial Attacks as A Defense

It is well known that adversarial attacks can fool deep neural networks ...

11 Boxi Wu, et al. ∙

research

∙ 05/25/2021

Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question Answering

Knowledge retrieval and reasoning are two key stages in multi-hop questi...

9 Weiwen Xu, et al. ∙

research

∙ 05/24/2021

Neural Machine Translation with Monolingual Translation Memory

Prior work has proved that Translation memory (TM) can boost the perform...

19 Deng Cai, et al. ∙

research

∙ 05/06/2021

Assessing Dialogue Systems with Distribution Distances

An important aspect of developing dialogue systems is how to evaluate an...

5 Jiannan Xiang, et al. ∙

research

∙ 04/29/2021

Discriminative-Generative Dual Memory Video Anomaly Detection

Recently, people tried to use a few anomalies for video anomaly detectio...

2 Xin Guo, et al. ∙

research

∙ 04/19/2021

Lidar Point Cloud Guided Monocular 3D Object Detection

Monocular 3D object detection is drawing increasing attention from the c...

14 Liang Peng, et al. ∙

research

∙ 04/13/2021

OCM3D: Object-Centric Monocular 3D Object Detection

Image-only and pseudo-LiDAR representations are commonly used for monocu...

10 Liang Peng, et al. ∙

research

∙ 03/24/2021

X-view: Non-egocentric Multi-View 3D Object Detector

3D object detection algorithms for autonomous driving reason about 3D ob...

2 Liang Xie, et al. ∙

research

∙ 03/18/2021

SparsePoint: Fully End-to-End Sparse 3D Object Detector

Object detectors based on sparse object proposals have recently been pro...

17 Zili Liu, et al. ∙

research

∙ 03/10/2021

ES-Net: Erasing Salient Parts to Learn More in Re-Identification

As an instance-level recognition problem, re-identification (re-ID) requ...

7 Dong Shen, et al. ∙

research

∙ 02/16/2021

Non-Autoregressive Text Generation with Pre-trained Language Models

Non-autoregressive generation (NAG) has recently attracted great attenti...

10 Yixuan Su, et al. ∙

research

∙ 01/29/2021

Complementary Pseudo Labels For Unsupervised Domain Adaptation On Person Re-identification

In recent years, supervised person re-identification (re-ID) models have...

8 Hao Feng, et al. ∙

research

∙ 12/29/2020

Dialogue Response Selection with Hierarchical Curriculum Learning

We study the learning of a matching model for dialogue response selectio...

4 Yixuan Su, et al. ∙

research

∙ 12/21/2020

Narrative Incoherence Detection

Motivated by the increasing popularity of intelligent editing assistant,...

13 Deng Cai, et al. ∙

research

∙ 12/08/2020

LAMP: Label Augmented Multimodal Pretraining

Multi-modal representation learning by pretraining has become an increas...

0 Jia Guo, et al. ∙

research

∙ 11/30/2020

SplitNet: Divide and Co-training

The width of a neural network matters since increasing the width will ne...

10 Shuai Zhao, et al. ∙

research

∙ 11/18/2020

EasyTransfer – A Simple and Scalable Deep Transfer Learning Platform for NLP Applications

The literature has witnessed the success of applying deep Transfer Learn...

63 Minghui Qiu, et al. ∙

research

∙ 10/21/2020

Geometry-based Occlusion-Aware Unsupervised Stereo Matching for Autonomous Driving

Recently, there are emerging many stereo matching methods for autonomous...

9 Liang Peng, et al. ∙

research

∙ 10/15/2020

Spherical Knowledge Distillation

Knowledge distillation aims at obtaining a small but effective deep mode...

6 Jia Guo, et al. ∙

research

∙ 10/10/2020

Accelerate Your CNN from Three Dimensions: A Comprehensive Pruning Framework

To deploy a pre-trained deep CNN on resource-constrained mobile devices,...

46 Wenxiao Wang, et al. ∙

Deng Cai

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