b'Qi Zhang'

research

∙ 09/17/2023

Syntax Tree Constrained Graph Network for Visual Question Answering

Visual Question Answering (VQA) aims to automatically answer natural lan...

0 Xiangrui Su, et al. ∙

research

∙ 09/15/2023

Cure the headache of Transformers via Collinear Constrained Attention

As the rapid progression of practical applications based on Large Langua...

0 Shiyi Zhu, et al. ∙

research

∙ 09/11/2023

An Empirical Study of NetOps Capability of Pre-Trained Large Language Models

Nowadays, the versatile capabilities of Pre-trained Large Language Model...

0 Yukai Miao, et al. ∙

research

∙ 09/10/2023

One-Bit-Aided Modulo Sampling for DOA Estimation

Modulo sampling or unlimited sampling has recently drawn a great deal of...

0 Qi Zhang, et al. ∙

research

∙ 09/01/2023

VideoGen: A Reference-Guided Latent Diffusion Approach for High Definition Text-to-Video Generation

In this paper, we present VideoGen, a text-to-video generation approach,...

0 Xin Li, et al. ∙

research

∙ 08/28/2023

Zip to Zip-it: Compression to Achieve Local Differential Privacy

Local differential privacy techniques for numerical data typically trans...

0 Francesco Taurone, et al. ∙

research

∙ 08/23/2023

E(3)-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning

Identification and analysis of symmetrical patterns in the natural world...

0 Dingyang Chen, et al. ∙

research

∙ 08/07/2023

Lossless preprocessing of floating point data to enhance compression

Data compression algorithms typically rely on identifying repeated seque...

0 Francesco Taurone, et al. ∙

research

∙ 07/20/2023

No-frills Temporal Video Grounding: Multi-Scale Neighboring Attention and Zoom-in Boundary Detection

Temporal video grounding (TVG) aims to retrieve the time interval of a l...

0 Qi Zhang, et al. ∙

research

∙ 07/03/2023

A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics

In today's competitive and fast-evolving business environment, it is a c...

0 Chuan Qin, et al. ∙

research

∙ 06/27/2023

On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection

Detecting adversarial samples that are carefully crafted to fool the mod...

0 Songyang Gao, et al. ∙

research

∙ 06/27/2023

DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization

Adversarial training is one of the best-performing methods in improving ...

0 Songyang Gao, et al. ∙

research

∙ 06/26/2023

Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference

Deploying pre-trained transformer models like BERT on downstream tasks i...

0 Junyan Li, et al. ∙

research

∙ 06/16/2023

Process Knowledge-infused Learning for Clinician-friendly Explanations

Language models have the potential to assess mental health using social ...

0 Kaushik Roy, et al. ∙

research

∙ 06/08/2023

Actively Supervised Clustering for Open Relation Extraction

Current clustering-based Open Relation Extraction (OpenRE) methods usual...

0 Jun Zhao, et al. ∙

research

∙ 06/08/2023

RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction

Semantic matching is a mainstream paradigm of zero-shot relation extract...

0 Jun Zhao, et al. ∙

research

∙ 06/08/2023

Open Set Relation Extraction via Unknown-Aware Training

The existing supervised relation extraction methods have achieved impres...

0 Jun Zhao, et al. ∙

research

∙ 06/07/2023

On the Generalization of Multi-modal Contrastive Learning

Multi-modal contrastive learning (MMCL) has recently garnered considerab...

4 Qi Zhang, et al. ∙

research

∙ 06/02/2023

Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning

Executing actions in a correlated manner is a common strategy for human ...

0 Dingyang Chen, et al. ∙

research

∙ 05/27/2023

Towards Better Entity Linking with Multi-View Enhanced Distillation

Dense retrieval is widely used for entity linking to retrieve entities f...

1 YI LIU, et al. ∙

research

∙ 05/23/2023

Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement

Prompting methods such as Chain-of-Thought (CoT) have shed new light on ...

0 Zhiheng Xi, et al. ∙

research

∙ 05/23/2023

To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion

Embedding models have shown great power in knowledge graph completion (K...

0 Rui Li, et al. ∙

research

∙ 05/22/2023

Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model

Pretrained language models have achieved remarkable success in various n...

0 Xiao Wang, et al. ∙

research

∙ 05/22/2023

Spatiotemporal Attention-based Semantic Compression for Real-time Video Recognition

This paper studies the computational offloading of video action recognit...

0 Nan Li, et al. ∙

research

∙ 05/21/2023

A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition

Existing models for named entity recognition (NER) are mainly based on l...

0 Limao Xiong, et al. ∙

research

∙ 05/20/2023

Movie101: A New Movie Understanding Benchmark

To help the visually impaired enjoy movies, automatic movie narrating sy...

0 Zihao Yue, et al. ∙

research

∙ 05/20/2023

Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization

Models trained with empirical risk minimization (ERM) are revealed to ea...

0 Ting Wu, et al. ∙

research

∙ 05/19/2023

DMDD: A Large-Scale Dataset for Dataset Mentions Detection

The recognition of dataset names is a critical task for automatic inform...

0 Huitong Pan, et al. ∙

research

∙ 05/16/2023

Accurate Gigapixel Crowd Counting by Iterative Zooming and Refinement

The increasing prevalence of gigapixel resolutions has presented new cha...

0 Arian Bakhtiarnia, et al. ∙

research

∙ 05/16/2023

Maybe Only 0.5 Training Data Instruction Tuning

Instruction tuning for large language models (LLMs) has gained attention...

0 Hao Chen, et al. ∙

research

∙ 05/16/2023

Dual-Alignment Pre-training for Cross-lingual Sentence Embedding

Recent studies have shown that dual encoder models trained with the sent...

0 Ziheng Li, et al. ∙

research

∙ 05/11/2023

Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild

The principle of continual relation extraction (CRE) involves adapting t...

0 Ting Wu, et al. ∙

research

∙ 05/06/2023

Pre-training Language Model as a Multi-perspective Course Learner

ELECTRA, the generator-discriminator pre-training framework, has achieve...

0 Beiduo Chen, et al. ∙

research

∙ 05/04/2023

CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing

Dataset bias, i.e., the over-reliance on dataset-specific literal heuris...

0 Songyang Gao, et al. ∙

research

∙ 05/04/2023

UrbanBIS: a Large-scale Benchmark for Fine-grained Urban Building Instance Segmentation

We present the UrbanBIS benchmark for large-scale 3D urban understanding...

0 Guoqing Yang, et al. ∙

research

∙ 04/27/2023

Rumor Detection with Hierarchical Representation on Bipartite Adhoc Event Trees

The rapid growth of social media has caused tremendous effects on inform...

0 Qi Zhang, et al. ∙

research

∙ 04/23/2023

Joint Beamforming and Phase Shift Design for Hybrid-IRS-and-UAV-aided Directional Modulation Network

Recently, intelligent reflecting surface (IRS) and unmanned aerial vehic...

0 Rongen Dong, et al. ∙

research

∙ 04/17/2023

InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction

Large language models have unlocked strong multi-task capabilities from ...

0 Xiao Wang, et al. ∙

research

∙ 04/14/2023

GreedyGD: Enhanced Generalized Deduplication for Direct Analytics in IoT

Exponential growth in the amount of data generated by the Internet of Th...

0 Aaron Hurst, et al. ∙

research

∙ 04/14/2023

The Second Monocular Depth Estimation Challenge

This paper discusses the results for the second edition of the Monocular...

0 Jaime Spencer, et al. ∙

research

∙ 03/27/2023

ActiveSelfHAR: Incorporating Self Training into Active Learning to Improve Cross-Subject Human Activity Recognition

Deep learning-based human activity recognition (HAR) methods have shown ...

0 Baichun Wei, et al. ∙

research

∙ 03/18/2023

A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

GPT series models, such as GPT-3, CodeX, InstructGPT, ChatGPT, and so on...

0 Junjie Ye, et al. ∙

research

∙ 03/17/2023

IRGen: Generative Modeling for Image Retrieval

While generative modeling has been ubiquitous in natural language proces...

0 Yidan Zhang, et al. ∙

research

∙ 03/15/2023

UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation

Large Language Models (LLMs) are popular for their impressive abilities,...

0 Daixuan Cheng, et al. ∙

research

∙ 03/08/2023

Change a Bit to save Bytes: Compression for Floating Point Time-Series Data

The number of IoT devices is expected to continue its dramatic growth in...

0 Francesco Taurone, et al. ∙

research

∙ 03/08/2023

A Message Passing Perspective on Learning Dynamics of Contrastive Learning

In recent years, contrastive learning achieves impressive results on sel...

8 Yifei Wang, et al. ∙

research

∙ 03/07/2023

Fairness-aware Maximal Biclique Enumeration on Bipartite Graphs

Maximal biclique enumeration is a fundamental problem in bipartite graph...

0 Ziqi Yin, et al. ∙

research

∙ 03/03/2023

A Visual SLAM with Moving Object Trajectory Prediction

Visual Simultaneous Localization and Mapping (SLAM) has received signifi...

0 Qi Zhang, et al. ∙

research

∙ 03/01/2023

How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks

The GPT-3.5 models have demonstrated impressive performance in various N...

0 Xuanting Chen, et al. ∙

research

∙ 02/28/2023

Beamforming Design for RIS-Aided AF Relay Networks

Since reconfigurable intelligent surface (RIS) is considered to be a pas...

0 Xuehui Wang, et al. ∙

Qi Zhang

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