b'Kang Liu'

research

∙ 09/09/2023

MMHQA-ICL: Multimodal In-context Learning for Hybrid Question Answering over Text, Tables and Images

In the real world, knowledge often exists in a multimodal and heterogene...

0 Weihao Liu, et al. ∙

research

∙ 09/02/2023

Soil Image Segmentation Based on Mask R-CNN

The complex background in the soil image collected in the field natural ...

0 Yida Chen, et al. ∙

research

∙ 08/31/2023

Interpreting Sentiment Composition with Latent Semantic Tree

As the key to sentiment analysis, sentiment composition considers the cl...

0 Zhongtao Jiang, et al. ∙

research

∙ 08/31/2023

Unsupervised Text Style Transfer with Deep Generative Models

We present a general framework for unsupervised text style transfer with...

0 Zhongtao Jiang, et al. ∙

research

∙ 08/30/2023

Prompting Vision Language Model with Knowledge from Large Language Model for Knowledge-Based VQA

Knowledge-based visual question answering is a very challenging and wide...

0 Yang Zhou, et al. ∙

research

∙ 08/28/2023

ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models

The unprecedented performance of large language models (LLMs) requires c...

0 Baoli Zhang, et al. ∙

research

∙ 08/25/2023

Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons

Pre-trained language models (PLMs) contain vast amounts of factual knowl...

0 Yuheng Chen, et al. ∙

research

∙ 08/20/2023

LMTuner: An user-friendly and highly-integrable Training Framework for fine-tuning Large Language Models

With the burgeoning development in the realm of large language models (L...

0 Yixuan Weng, et al. ∙

research

∙ 08/06/2023

Embedding-based Retrieval with LLM for Effective Agriculture Information Extracting from Unstructured Data

Pest identification is a crucial aspect of pest control in agriculture. ...

0 Ruoling Peng, et al. ∙

research

∙ 07/28/2023

Multilingual Lexical Simplification via Paraphrase Generation

Lexical simplification (LS) methods based on pretrained language models ...

0 Kang Liu, et al. ∙

research

∙ 05/31/2023

Sentence Simplification Using Paraphrase Corpus for Initialization

Neural sentence simplification method based on sequence-to-sequence fram...

0 Kang Liu, et al. ∙

research

∙ 05/23/2023

Towards Graph-hop Retrieval and Reasoning in Complex Question Answering over Textual Database

In Textual question answering (TQA) systems, complex questions often req...

0 Minjun Zhu, et al. ∙

research

∙ 05/14/2023

ParaLS: Lexical Substitution via Pretrained Paraphraser

Lexical substitution (LS) aims at finding appropriate substitutes for a ...

5 Jipeng Qiang, et al. ∙

research

∙ 05/09/2023

Large Language Models Need Holistically Thought in Medical Conversational QA

The medical conversational question answering (CQA) system aims at provi...

0 Yixuan Weng, et al. ∙

research

∙ 05/05/2023

Multi-View Graph Representation Learning for Answering Hybrid Numerical Reasoning Question

Hybrid question answering (HybridQA) over the financial report contains ...

0 Yifan Wei, et al. ∙

research

∙ 04/04/2023

Neural Comprehension: Language Models with Compiled Neural Networks

Language models have achieved impressive results in natural language pro...

0 Yixuan Weng, et al. ∙

research

∙ 01/07/2023

Knowledge Reasoning via Jointly Modeling Knowledge Graphs and Soft Rules

Knowledge graphs (KGs) play a crucial role in many applications, such as...

0 Yinyu Lan, et al. ∙

research

∙ 12/19/2022

Large Language Models are reasoners with Self-Verification

When a large language model (LLM) performs complex reasoning by chain of...

0 Yixuan Weng, et al. ∙

research

∙ 12/15/2022

Error estimates of a theta-scheme for second-order mean field games

We introduce and analyze a new finite-difference scheme, relying on the ...

0 J. Frédéric Bonnans, et al. ∙

research

∙ 10/24/2022

Generating Hierarchical Explanations on Text Classification Without Connecting Rules

The opaqueness of deep NLP models has motivated the development of metho...

0 Yiming Ju, et al. ∙

research

∙ 10/17/2022

ReasonChainQA: Text-based Complex Question Answering with Explainable Evidence Chains

The ability of reasoning over evidence has received increasing attention...

0 Minjun Zhu, et al. ∙

research

∙ 10/14/2022

MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation

In most E-commerce platforms, whether the displayed items trigger the us...

0 Kang Liu, et al. ∙

research

∙ 10/10/2022

Joint Multi-grained Popularity-aware Graph Convolution Collaborative Filtering for Recommendation

Graph Convolution Networks (GCNs), with their efficient ability to captu...

0 Kang Liu, et al. ∙

research

∙ 05/26/2022

Denial-of-Service Attacks on Learned Image Compression

Deep learning techniques have shown promising results in image compressi...

0 Kang Liu, et al. ∙

research

∙ 04/20/2022

LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs

The medical conversational system can relieve the burden of doctors and ...

0 Fei Xia, et al. ∙

research

∙ 03/23/2022

Impact of initial outbreak locations on transmission risk of infectious diseases in an intra-urban area

Infectious diseases usually originate from a specific location within a ...

0 Kang Liu, et al. ∙

research

∙ 12/08/2021

ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing

Scientific documents often contain a large number of acronyms. Disambigu...

0 Yixuan Weng, et al. ∙

research

∙ 11/03/2021

A Novel Actuation Strategy for an Agile Bio-inspired FWAV Performing a Morphing-coupled Wingbeat Pattern

Flying vertebrates exhibit sophisticated wingbeat kinematics. Their spec...

0 Ang Chen, et al. ∙

research

∙ 09/12/2021

The Logic Traps in Evaluating Post-hoc Interpretations

Post-hoc interpretation aims to explain a trained model and reveal how t...

0 Yiming Ju, et al. ∙

research

∙ 08/10/2021

Lifelong Intent Detection via Multi-Strategy Rebalancing

Conventional Intent Detection (ID) models are usually trained offline, w...

0 Qingbin Liu, et al. ∙

research

∙ 06/03/2021

Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement

Current models for event causality identification (ECI) mainly adopt a s...

0 Xinyu Zuo, et al. ∙

research

∙ 06/03/2021

LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification

Modern models for event causality identification (ECI) are mainly based ...

0 Xinyu Zuo, et al. ∙

research

∙ 05/27/2021

Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion

Background Knowledge graphs (KGs), especially medical knowledge graphs, ...

0 Yinyu Lan, et al. ∙

research

∙ 11/03/2020

Joint Entity and Relation Extraction with Set Prediction Networks

The joint entity and relation extraction task aims to extract all relati...

0 Dianbo Sui, et al. ∙

research

∙ 10/21/2020

KnowDis: Knowledge Enhanced Data Augmentation for Event Causality Detection via Distant Supervision

Modern models of event causality detection (ECD) are mainly based on sup...

0 Xinyu Zuo, et al. ∙

research

∙ 10/12/2020

Pre-trained Language Model Based Active Learning for Sentence Matching

Active learning is able to significantly reduce the annotation cost for ...

0 Guirong Bai, et al. ∙

research

∙ 09/22/2020

Event Coreference Resolution via a Multi-loss Neural Network without Using Argument Information

Event coreference resolution(ECR) is an important task in Natural Langua...

0 Xinyu Zuo, et al. ∙

research

∙ 09/22/2020

Towards Causal Explanation Detection with Pyramid Salient-Aware Network

Causal explanation analysis (CEA) can assist us to understand the reason...

0 Xinyu Zuo, et al. ∙

research

∙ 09/19/2020

Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images

Unprecedented data collection and sharing have exacerbated privacy conce...

6 Kang Liu, et al. ∙

research

∙ 08/12/2020

Distantly Supervised Relation Extraction in Federated Settings

This paper investigates distantly supervised relation extraction in fede...

0 Dianbo Sui, et al. ∙

research

∙ 07/21/2020

Connecting Embeddings for Knowledge Graph Entity Typing

Knowledge graph (KG) entity typing aims at inferring possible missing en...

0 Yu Zhao, et al. ∙

research

∙ 07/07/2020

RGCF: Refined Graph Convolution Collaborative Filtering with concise and expressive embedding

Graph Convolution Network (GCN) has attracted significant attention and ...

0 Kang Liu, et al. ∙

research

∙ 04/26/2020

Bias Busters: Robustifying DL-based Lithographic Hotspot Detectors Against Backdooring Attacks

Deep learning (DL) offers potential improvements throughout the CAD tool...

1 Kang Liu, et al. ∙

research

∙ 04/04/2020

Knowledge Guided Metric Learning for Few-Shot Text Classification

The training of deep-learning-based text classification models relies he...

0 Dianbo Sui, et al. ∙

research

∙ 03/09/2020

Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA

Knowledge graph models world knowledge as concepts, entities, and the re...

0 Xianpei Han, et al. ∙

research

∙ 02/19/2020

NNoculation: Broad Spectrum and Targeted Treatment of Backdoored DNNs

This paper proposes a novel two-stage defense (NNoculation) against back...

0 Akshaj Kumar Veldanda, et al. ∙

research

∙ 10/29/2019

Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss

We tackle the task of question generation over knowledge bases. Conventi...

11 Cao Liu, et al. ∙

research

∙ 10/29/2019

Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots

Conventional chatbots focus on two-party response generation, which simp...

0 Cao Liu, et al. ∙

research

∙ 08/21/2019

Copy-Enhanced Heterogeneous Information Learning for Dialogue State Tracking

Dialogue state tracking (DST) is an essential component in task-oriented...

0 Qingbin Liu, et al. ∙

research

∙ 06/25/2019

Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection

There is substantial interest in the use of machine learning (ML) based ...

1 Kang Liu, et al. ∙

Kang Liu

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