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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...
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08/16/2023
TeCH: Text-guided Reconstruction of Lifelike Clothed Humans
Despite recent research advancements in reconstructing clothed humans fr...
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08/01/2023
NormKD: Normalized Logits for Knowledge Distillation
Logit based knowledge distillation gets less attention in recent years s...
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07/16/2023
Disco-Bench: A Discourse-Aware Evaluation Benchmark for Language Modelling
Modeling discourse – the linguistic phenomena that go beyond individual ...
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07/13/2023
Copy Is All You Need
The dominant text generation models compose the output by sequentially s...
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05/25/2023
PandaGPT: One Model To Instruction-Follow Them All
We present PandaGPT, an approach to emPower large lANguage moDels with v...
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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...
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05/22/2023
A Frustratingly Simple Decoding Method for Neural Text Generation
We introduce a frustratingly simple, super efficient and surprisingly ef...
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02/07/2023
LUT-NN: Towards Unified Neural Network Inference by Table Lookup
DNN inference requires huge effort of system development and resource co...
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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...
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11/14/2022
Boosting Semi-Supervised 3D Object Detection with Semi-Sampling
Current 3D object detection methods heavily rely on an enormous amount o...
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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N-gram language models (LM) have been largely superseded by neural LMs a...
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10/18/2022
Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation
We introduce a new method to improve existing multilingual sentence embe...
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07/21/2022
Towards Efficient Adversarial Training on Vision Transformers
Vision Transformer (ViT), as a powerful alternative to Convolutional Neu...
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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...
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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...
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04/19/2022
Neural Collapse Inspired Attraction-Repulsion-Balanced Loss for Imbalanced Learning
Class imbalance distribution widely exists in real-world engineering. Ho...
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03/28/2022
Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning
Prior works on action representation learning mainly focus on designing ...
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03/23/2022
Linearizing Transformer with Key-Value Memory Bank
Transformer has brought great success to a wide range of natural languag...
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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...
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03/16/2022
WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection
Monocular 3D object detection is one of the most challenging tasks in 3D...
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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...
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02/02/2022
A Survey on Retrieval-Augmented Text Generation
Recently, retrieval-augmented text generation attracted increasing atten...
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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...
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10/13/2021
Exploring Dense Retrieval for Dialogue Response Selection
Recent research on dialogue response selection has been mainly focused o...
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09/30/2021
Multilingual AMR Parsing with Noisy Knowledge Distillation
We study multilingual AMR parsing from the perspective of knowledge dist...
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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...
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09/07/2021
Exploiting Reasoning Chains for Multi-hop Science Question Answering
We propose a novel Chain Guided Retriever-reader (CGR) framework to mode...
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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...
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06/09/2021
Salient Object Ranking with Position-Preserved Attention
Instance segmentation can detect where the objects are in an image, but ...
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06/09/2021
Attacking Adversarial Attacks as A Defense
It is well known that adversarial attacks can fool deep neural networks ...
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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...
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05/24/2021
Neural Machine Translation with Monolingual Translation Memory
Prior work has proved that Translation memory (TM) can boost the perform...
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05/06/2021
Assessing Dialogue Systems with Distribution Distances
An important aspect of developing dialogue systems is how to evaluate an...
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04/29/2021
Discriminative-Generative Dual Memory Video Anomaly Detection
Recently, people tried to use a few anomalies for video anomaly detectio...
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04/19/2021
Lidar Point Cloud Guided Monocular 3D Object Detection
Monocular 3D object detection is drawing increasing attention from the c...
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04/13/2021
OCM3D: Object-Centric Monocular 3D Object Detection
Image-only and pseudo-LiDAR representations are commonly used for monocu...
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03/24/2021
X-view: Non-egocentric Multi-View 3D Object Detector
3D object detection algorithms for autonomous driving reason about 3D ob...
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03/18/2021
SparsePoint: Fully End-to-End Sparse 3D Object Detector
Object detectors based on sparse object proposals have recently been pro...
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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...
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02/16/2021
Non-Autoregressive Text Generation with Pre-trained Language Models
Non-autoregressive generation (NAG) has recently attracted great attenti...
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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...
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12/29/2020
Dialogue Response Selection with Hierarchical Curriculum Learning
We study the learning of a matching model for dialogue response selectio...
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12/21/2020
Narrative Incoherence Detection
Motivated by the increasing popularity of intelligent editing assistant,...
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12/08/2020
LAMP: Label Augmented Multimodal Pretraining
Multi-modal representation learning by pretraining has become an increas...
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11/30/2020
SplitNet: Divide and Co-training
The width of a neural network matters since increasing the width will ne...
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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...
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10/21/2020
Geometry-based Occlusion-Aware Unsupervised Stereo Matching for Autonomous Driving
Recently, there are emerging many stereo matching methods for autonomous...
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10/15/2020
Spherical Knowledge Distillation
Knowledge distillation aims at obtaining a small but effective deep mode...
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10/10/2020