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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...
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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...
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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...
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07/15/2023
CPET: Effective Parameter-Efficient Tuning for Compressed Large Language Models
Parameter-efficient tuning (PET) has been widely explored in recent year...
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06/16/2023
Democratizing Chatbot Debugging: A Computational Framework for Evaluating and Explaining Inappropriate Chatbot Responses
Evaluating and understanding the inappropriateness of chatbot behaviors ...
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06/13/2023
PersonaPKT: Building Personalized Dialogue Agents via Parameter-efficient Knowledge Transfer
Personalized dialogue agents (DAs) powered by large pre-trained language...
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05/28/2023
Emergent Modularity in Pre-trained Transformers
This work examines the presence of modularity in pre-trained Transformer...
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05/28/2023
Plug-and-Play Knowledge Injection for Pre-trained Language Models
Injecting external knowledge can improve the performance of pre-trained ...
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05/28/2023
Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning
Parameter-efficient tuning methods (PETs) have achieved promising result...
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05/28/2023
Plug-and-Play Document Modules for Pre-trained Models
Large-scale pre-trained models (PTMs) have been widely used in document-...
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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...
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05/16/2023
DualGenerator: Information Interaction-based Generative Network for Point Cloud Completion
Point cloud completion estimates complete shapes from incomplete point c...
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05/15/2023
Recyclable Tuning for Continual Pre-training
Continual pre-training is the paradigm where pre-trained language models...
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05/11/2023
WebCPM: Interactive Web Search for Chinese Long-form Question Answering
Long-form question answering (LFQA) aims at answering complex, open-ende...
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05/06/2023
Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
Diffusion-based generative graph models have been proven effective in ge...
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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...
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04/17/2023
Tool Learning with Foundation Models
Humans possess an extraordinary ability to create and utilize tools, all...
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03/15/2023
Deep Learning for Iris Recognition: A Review
Iris recognition is a secure biometric technology known for its stabilit...
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01/18/2023
The OpenCDA Open-source Ecosystem for Cooperative Driving Automation Research
Advances in Single-vehicle intelligence of automated driving have encoun...
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11/26/2022
PatchGT: Transformer over Non-trainable Clusters for Learning Graph Representations
Recently the Transformer structure has shown good performances in graph ...
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11/24/2022
Automated Driving Systems Data Acquisition and Processing Platform
This paper presents an automated driving system (ADS) data acquisition a...
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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...
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10/25/2022
Exploring Mode Connectivity for Pre-trained Language Models
Recent years have witnessed the prevalent application of pre-trained lan...
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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...
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10/19/2022
Towards Accurate Subgraph Similarity Computation via Neural Graph Pruning
Subgraph similarity search, one of the core problems in graph search, co...
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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...
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06/22/2022
GACT: Activation Compressed Training for General Architectures
Training large neural network (NN) models requires extensive memory reso...
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05/20/2022
Quantum Kerr Learning
Quantum machine learning is a rapidly evolving area that could facilitat...
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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...
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01/22/2022
Predicting Physics in Mesh-reduced Space with Temporal Attention
Graph-based next-step prediction models have recently been very successf...
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11/29/2021
Decoupled Low-light Image Enhancement
The visual quality of photographs taken under imperfect lightness condit...
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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...
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09/09/2021
PPT: Pre-trained Prompt Tuning for Few-shot Learning
Prompts for pre-trained language models (PLMs) have shown remarkable per...
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08/24/2021
Prompt-Learning for Fine-Grained Entity Typing
As an effective approach to tune pre-trained language models (PLMs) for ...
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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 ...
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07/13/2021
OpenCDA:An Open Cooperative Driving Automation Framework Integrated with Co-Simulation
Although Cooperative Driving Automation (CDA) has attracted considerable...
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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...
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06/16/2021
Pre-processing with Orthogonal Decompositions for High-dimensional Explanatory Variables
Strong correlations between explanatory variables are problematic for hi...
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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...
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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...
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05/31/2021
Fully Hyperbolic Neural Networks
Hyperbolic neural networks have shown great potential for modeling compl...
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05/30/2021
CLEVE: Contrastive Pre-training for Event Extraction
Event extraction (EE) has considerably benefited from pre-trained langua...
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05/28/2021
Knowledge Inheritance for Pre-trained Language Models
Recent explorations of large-scale pre-trained language models (PLMs) su...
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05/24/2021
PTR: Prompt Tuning with Rules for Text Classification
Fine-tuned pre-trained language models (PLMs) have achieved awesome perf...
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05/20/2021
Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction
Distantly supervised (DS) relation extraction (RE) has attracted much at...
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05/16/2021
Few-NERD: A Few-Shot Named Entity Recognition Dataset
Recently, considerable literature has grown up around the theme of few-s...
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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...
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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...
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03/29/2021
Visual Distant Supervision for Scene Graph Generation
Scene graph generation aims to identify objects and their relations in i...
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03/15/2021