b'Bowen Yu'

research

∙ 09/17/2023

GAMMA: Revisiting Template-based Automated Program Repair via Mask Prediction

Automated program repair (APR) aims to fix software bugs without human i...

0 Quanjun Zhang, et al. ∙

research

∙ 08/24/2023

Pre-trained Model-based Automated Software Vulnerability Repair: How Far are We?

Various approaches are proposed to help under-resourced security researc...

0 Quanjun Zhang, et al. ∙

research

∙ 08/10/2023

A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment

Training large language models (LLMs) with open-domain instruction data ...

0 Yingxiu Zhao, et al. ∙

research

∙ 08/03/2023

Wider and Deeper LLM Networks are Fairer LLM Evaluators

Measuring the quality of responses generated by LLMs is a challenging ta...

0 Xinghua Zhang, et al. ∙

research

∙ 07/12/2023

PolyLM: An Open Source Polyglot Large Language Model

Large language models (LLMs) demonstrate remarkable ability to comprehen...

0 Xiangpeng Wei, et al. ∙

research

∙ 06/30/2023

Preference Ranking Optimization for Human Alignment

Large language models (LLMs) often contain misleading content, emphasizi...

0 Feifan Song, et al. ∙

research

∙ 06/29/2023

Unified Language Representation for Question Answering over Text, Tables, and Images

When trying to answer complex questions, people often rely on multiple s...

0 Bowen Yu, et al. ∙

research

∙ 05/18/2023

Causal Document-Grounded Dialogue Pre-training

The goal of document-grounded dialogue (DocGD) is to generate a response...

3 Yingxiu Zhao, et al. ∙

research

∙ 05/11/2023

Domain Incremental Lifelong Learning in an Open World

Lifelong learning (LL) is an important ability for NLP models to learn n...

0 Yi Dai, et al. ∙

research

∙ 04/20/2023

ID-MixGCL: Identity Mixup for Graph Contrastive Learning

Recently developed graph contrastive learning (GCL) approaches compare t...

0 Gehang Zhang, et al. ∙

research

∙ 04/14/2023

API-Bank: A Benchmark for Tool-Augmented LLMs

Recent research has shown that Large Language Models (LLMs) can utilize ...

0 Minghao Li, et al. ∙

research

∙ 11/29/2022

Towards Generalized Open Information Extraction

Open Information Extraction (OpenIE) facilitates the open-domain discove...

0 Bowen Yu, et al. ∙

research

∙ 11/23/2022

Semi-Supervised Lifelong Language Learning

Lifelong learning aims to accumulate knowledge and alleviate catastrophi...

0 Yingxiu Zhao, et al. ∙

research

∙ 10/14/2022

Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue

Lifelong learning (LL) is vital for advanced task-oriented dialogue (ToD...

0 Yingxiu Zhao, et al. ∙

research

∙ 07/14/2022

Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration

Building document-grounded dialogue systems have received growing intere...

0 Zhenyu Zhang, et al. ∙

research

∙ 05/24/2022

A Survey on Neural Open Information Extraction: Current Status and Future Directions

Open Information Extraction (OpenIE) facilitates domain-independent disc...

0 Shaowen Zhou, et al. ∙

research

∙ 04/28/2022

Programming Matrices as Staged Sparse Rows to Generate Efficient Matrix-free Differential Equation Solver

Solving differential equations is a critical task in scientific computin...

0 Huanqi Cao, et al. ∙

research

∙ 04/20/2022

Profiling and Evolution of Intellectual Property

In recent years, with the rapid growth of Internet data, the number and ...

0 Bowen Yu, et al. ∙

research

∙ 03/21/2022

Web Page Content Extraction Based on Multi-feature Fusion

With the rapid development of Internet technology, people have more and ...

0 Bowen Yu, et al. ∙

research

∙ 02/07/2022

Document-Level Event Extraction via Human-Like Reading Process

Document-level Event Extraction (DEE) is particularly tricky due to the ...

0 Shiyao Cui, et al. ∙

research

∙ 10/09/2021

Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning

Distantly supervised named entity recognition (DS-NER) efficiently reduc...

0 Xinghua Zhang, et al. ∙

research

∙ 07/04/2021

CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction

Event extraction (EE) is a crucial information extraction task that aims...

0 Jiawei Sheng, et al. ∙

research

∙ 06/01/2021

Discontinuous Named Entity Recognition as Maximal Clique Discovery

Named entity recognition (NER) remains challenging when entity mentions ...

0 Yucheng Wang, et al. ∙

research

∙ 12/04/2020

Few-Shot Event Detection with Prototypical Amortized Conditional Random Field

Event Detection, a fundamental task of Information Extraction, tends to ...

0 Xin Cong, et al. ∙

research

∙ 12/03/2020

Label Enhanced Event Detection with Heterogeneous Graph Attention Networks

Event Detection (ED) aims to recognize instances of specified types of e...

0 Shiyao Cui, et al. ∙

research

∙ 10/26/2020

TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking

Extracting entities and relations from unstructured text has attracted i...

0 Yucheng Wang, et al. ∙

research

∙ 10/16/2020

Coarse-to-Fine Pre-training for Named Entity Recognition

More recently, Named Entity Recognition hasachieved great advances aided...

0 Mengge Xue, et al. ∙

research

∙ 06/23/2020

Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering

Few-shot classification tends to struggle when it needs to adapt to dive...

0 Xin Cong, et al. ∙

research

∙ 02/25/2020

Event Detection with Relation-Aware Graph Convolutional Neural Networks

Event detection (ED), a key subtask of information extraction, aims to r...

0 Shiyao Cui, et al. ∙

research

∙ 01/14/2020

Keeping Community in the Loop: Understanding Wikipedia Stakeholder Values for Machine Learning-Based Systems

On Wikipedia, sophisticated algorithmic tools are used to assess the qua...

0 C. Estelle Smith, et al. ∙

research

∙ 11/07/2019

Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention

Most Chinese pre-trained encoders take a character as a basic unit and l...

0 Yanzeng Li, et al. ∙

research

∙ 10/07/2019

Designing Interfaces to Help Stakeholders Comprehend, Navigate, and Manage Algorithmic Trade-Offs

Artificial intelligence algorithms have been applied to a wide variety o...

0 Bowen Yu, et al. ∙

research

∙ 09/10/2019

Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy

Joint extraction of entities and relations aims to detect entity pairs a...

0 Bowen Yu, et al. ∙

research

∙ 08/02/2019

FlowSense: A Natural Language Interface for Visual Data Exploration within a Dataflow System

Dataflow visualization systems enable flexible visual data exploration b...

0 Bowen Yu, et al. ∙

research

∙ 07/05/2019

Visus: An Interactive System for Automatic Machine Learning Model Building and Curation

While the demand for machine learning (ML) applications is booming, ther...

0 Aécio Santos, et al. ∙

research

∙ 03/24/2017

Calendar.help: Designing a Workflow-Based Scheduling Agent with Humans in the Loop

Although information workers may complain about meetings, they are an es...

0 Justin Cranshaw, et al. ∙

Bowen Yu

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