b'Xu Han'

research

∙ 09/19/2023

QASnowball: An Iterative Bootstrapping Framework for High-Quality Question-Answering Data Generation

Recent years have witnessed the success of question answering (QA), espe...

0 Kunlun Zhu, et al. ∙

research

∙ 08/30/2023

EnsembleFollower: A Hybrid Car-Following Framework Based On Reinforcement Learning and Hierarchical Planning

Car-following models have made significant contributions to our understa...

0 Xu Han, et al. ∙

research

∙ 08/21/2023

"Guinea Pig Trials" Utilizing GPT: A Novel Smart Agent-Based Modeling Approach for Studying Firm Competition and Collusion

Firm competition and collusion involve complex dynamics, particularly wh...

0 Xu Han, et al. ∙

research

∙ 07/15/2023

CPET: Effective Parameter-Efficient Tuning for Compressed Large Language Models

Parameter-efficient tuning (PET) has been widely explored in recent year...

0 Weilin Zhao, et al. ∙

research

∙ 06/16/2023

Democratizing Chatbot Debugging: A Computational Framework for Evaluating and Explaining Inappropriate Chatbot Responses

Evaluating and understanding the inappropriateness of chatbot behaviors ...

0 Xu Han, et al. ∙

research

∙ 06/13/2023

PersonaPKT: Building Personalized Dialogue Agents via Parameter-efficient Knowledge Transfer

Personalized dialogue agents (DAs) powered by large pre-trained language...

0 Xu Han, et al. ∙

research

∙ 05/28/2023

Emergent Modularity in Pre-trained Transformers

This work examines the presence of modularity in pre-trained Transformer...

0 Zhengyan Zhang, et al. ∙

research

∙ 05/28/2023

Plug-and-Play Knowledge Injection for Pre-trained Language Models

Injecting external knowledge can improve the performance of pre-trained ...

0 Zhengyan Zhang, et al. ∙

research

∙ 05/28/2023

Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning

Parameter-efficient tuning methods (PETs) have achieved promising result...

0 Weize Chen, et al. ∙

research

∙ 05/28/2023

Plug-and-Play Document Modules for Pre-trained Models

Large-scale pre-trained models (PTMs) have been widely used in document-...

0 Chaojun Xiao, et al. ∙

research

∙ 05/19/2023

Efficient Cross-Lingual Transfer for Chinese Stable Diffusion with Images as Pivots

Diffusion models have made impressive progress in text-to-image synthesi...

0 Jinyi Hu, et al. ∙

research

∙ 05/16/2023

DualGenerator: Information Interaction-based Generative Network for Point Cloud Completion

Point cloud completion estimates complete shapes from incomplete point c...

0 Pengcheng Shi, et al. ∙

research

∙ 05/15/2023

Recyclable Tuning for Continual Pre-training

Continual pre-training is the paradigm where pre-trained language models...

0 Yujia Qin, et al. ∙

research

∙ 05/11/2023

WebCPM: Interactive Web Search for Chinese Long-form Question Answering

Long-form question answering (LFQA) aims at answering complex, open-ende...

0 Yujia Qin, et al. ∙

research

∙ 05/06/2023

Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling

Diffusion-based generative graph models have been proven effective in ge...

0 Xiaohui Chen, et al. ∙

research

∙ 04/27/2023

A Majorization-Minimization Gauss-Newton Method for 1-Bit Matrix Completion

In 1-bit matrix completion, the aim is to estimate an underlying low-ran...

0 Xiaoqian Liu, et al. ∙

research

∙ 04/17/2023

Tool Learning with Foundation Models

Humans possess an extraordinary ability to create and utilize tools, all...

1 Yujia Qin, et al. ∙

research

∙ 03/15/2023

Deep Learning for Iris Recognition: A Review

Iris recognition is a secure biometric technology known for its stabilit...

0 Yimin Yin, et al. ∙

research

∙ 01/18/2023

The OpenCDA Open-source Ecosystem for Cooperative Driving Automation Research

Advances in Single-vehicle intelligence of automated driving have encoun...

0 Runsheng Xu, et al. ∙

research

∙ 11/26/2022

PatchGT: Transformer over Non-trainable Clusters for Learning Graph Representations

Recently the Transformer structure has shown good performances in graph ...

0 Han Gao, et al. ∙

research

∙ 11/24/2022

Automated Driving Systems Data Acquisition and Processing Platform

This paper presents an automated driving system (ADS) data acquisition a...

0 Xin Xia, et al. ∙

research

∙ 11/14/2022

MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction

The diverse relationships among real-world events, including coreference...

0 Xiaozhi Wang, et al. ∙

research

∙ 10/25/2022

Exploring Mode Connectivity for Pre-trained Language Models

Recent years have witnessed the prevalent application of pre-trained lan...

0 Yujia Qin, et al. ∙

research

∙ 10/24/2022

Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Delta Tuning

Delta tuning (DET, also known as parameter-efficient tuning) is deemed a...

0 Jing Yi, et al. ∙

research

∙ 10/19/2022

Towards Accurate Subgraph Similarity Computation via Neural Graph Pruning

Subgraph similarity search, one of the core problems in graph search, co...

0 Linfeng Liu, et al. ∙

research

∙ 10/08/2022

Improving End-to-End Text Image Translation From the Auxiliary Text Translation Task

End-to-end text image translation (TIT), which aims at translating the s...

0 Cong Ma, et al. ∙

research

∙ 06/22/2022

GACT: Activation Compressed Training for General Architectures

Training large neural network (NN) models requires extensive memory reso...

0 Xiaoxuan Liu, et al. ∙

research

∙ 05/20/2022

Quantum Kerr Learning

Quantum machine learning is a rapidly evolving area that could facilitat...

0 Junyu Liu, et al. ∙

research

∙ 04/06/2022

Sampling-based Fast Gradient Rescaling Method for Highly Transferable Adversarial Attacks

Deep neural networks have shown to be very vulnerable to adversarial exa...

0 Xu Han, et al. ∙

research

∙ 01/22/2022

Predicting Physics in Mesh-reduced Space with Temporal Attention

Graph-based next-step prediction models have recently been very successf...

3 Xu Han, et al. ∙

research

∙ 11/29/2021

Decoupled Low-light Image Enhancement

The visual quality of photographs taken under imperfect lightness condit...

0 Shijie Hao, et al. ∙

research

∙ 09/16/2021

OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication

Employing Vehicle-to-Vehicle communication to enhance perception perform...

0 Runsheng Xu, et al. ∙

research

∙ 09/09/2021

PPT: Pre-trained Prompt Tuning for Few-shot Learning

Prompts for pre-trained language models (PLMs) have shown remarkable per...

0 Yuxian Gu, et al. ∙

research

∙ 08/24/2021

Prompt-Learning for Fine-Grained Entity Typing

As an effective approach to tune pre-trained language models (PLMs) for ...

0 Ning Ding, et al. ∙

research

∙ 07/22/2021

Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference

In this work, we propose a domain generalization (DG) approach to learn ...

0 Xiaofeng Liu, et al. ∙

research

∙ 07/13/2021

OpenCDA:An Open Cooperative Driving Automation Framework Integrated with Co-Simulation

Although Cooperative Driving Automation (CDA) has attracted considerable...

0 Runsheng Xu, et al. ∙

research

∙ 06/17/2021

Large-Scale Multiple Testing for Matrix-Valued Data under Double Dependency

High-dimensional inference based on matrix-valued data has drawn increas...

0 Xu Han, et al. ∙

research

∙ 06/16/2021

Pre-processing with Orthogonal Decompositions for High-dimensional Explanatory Variables

Strong correlations between explanatory variables are problematic for hi...

0 Xu Han, et al. ∙

research

∙ 06/16/2021

Nonparametric Empirical Bayes Estimation and Testing for Sparse and Heteroscedastic Signals

Large-scale modern data often involves estimation and testing for high-d...

0 Junhui Cai, et al. ∙

research

∙ 06/11/2021

Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation

A graph generative model defines a distribution over graphs. One type of...

0 Xiaohui Chen, et al. ∙

research

∙ 05/31/2021

Fully Hyperbolic Neural Networks

Hyperbolic neural networks have shown great potential for modeling compl...

0 Weize Chen, et al. ∙

research

∙ 05/30/2021

CLEVE: Contrastive Pre-training for Event Extraction

Event extraction (EE) has considerably benefited from pre-trained langua...

0 Ziqi Wang, et al. ∙

research

∙ 05/28/2021

Knowledge Inheritance for Pre-trained Language Models

Recent explorations of large-scale pre-trained language models (PLMs) su...

8 Yujia Qin, et al. ∙

research

∙ 05/24/2021

PTR: Prompt Tuning with Rules for Text Classification

Fine-tuned pre-trained language models (PLMs) have achieved awesome perf...

0 Xu Han, et al. ∙

research

∙ 05/20/2021

Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction

Distantly supervised (DS) relation extraction (RE) has attracted much at...

16 Tianyu Gao, et al. ∙

research

∙ 05/16/2021

Few-NERD: A Few-Shot Named Entity Recognition Dataset

Recently, considerable literature has grown up around the theme of few-s...

0 Ning Ding, et al. ∙

research

∙ 04/17/2021

Jump on the Bandwagon? – Characterizing Bandwagon Phenomenon in Online NBA Fan Communities

Understanding user dynamics in online communities has become an active r...

0 Yichen Wang, et al. ∙

research

∙ 04/10/2021

Designing Effective Interview Chatbots: Automatic Chatbot Profiling and Design Suggestion Generation for Chatbot Debugging

Recent studies show the effectiveness of interview chatbots for informat...

0 Xu Han, et al. ∙

research

∙ 03/29/2021

Visual Distant Supervision for Scene Graph Generation

Scene graph generation aims to identify objects and their relations in i...

0 Yuan Yao, et al. ∙

research

∙ 03/15/2021

Automatic Generation of Large-scale 3D Road Networks based on GIS Data

How to automatically generate a realistic large-scale 3D road network is...

0 Hua Wang, et al. ∙

Xu Han

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