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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...
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09/02/2023
Soil Image Segmentation Based on Mask R-CNN
The complex background in the soil image collected in the field natural ...
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08/31/2023
Interpreting Sentiment Composition with Latent Semantic Tree
As the key to sentiment analysis, sentiment composition considers the cl...
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08/31/2023
Unsupervised Text Style Transfer with Deep Generative Models
We present a general framework for unsupervised text style transfer with...
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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...
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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...
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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...
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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...
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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. ...
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07/28/2023
Multilingual Lexical Simplification via Paraphrase Generation
Lexical simplification (LS) methods based on pretrained language models ...
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05/31/2023
Sentence Simplification Using Paraphrase Corpus for Initialization
Neural sentence simplification method based on sequence-to-sequence fram...
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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...
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05/14/2023
ParaLS: Lexical Substitution via Pretrained Paraphraser
Lexical substitution (LS) aims at finding appropriate substitutes for a ...
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05/09/2023
Large Language Models Need Holistically Thought in Medical Conversational QA
The medical conversational question answering (CQA) system aims at provi...
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05/05/2023
Multi-View Graph Representation Learning for Answering Hybrid Numerical Reasoning Question
Hybrid question answering (HybridQA) over the financial report contains ...
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04/04/2023
Neural Comprehension: Language Models with Compiled Neural Networks
Language models have achieved impressive results in natural language pro...
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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...
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12/19/2022
Large Language Models are reasoners with Self-Verification
When a large language model (LLM) performs complex reasoning by chain of...
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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 ...
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10/24/2022
Generating Hierarchical Explanations on Text Classification Without Connecting Rules
The opaqueness of deep NLP models has motivated the development of metho...
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10/17/2022
ReasonChainQA: Text-based Complex Question Answering with Explainable Evidence Chains
The ability of reasoning over evidence has received increasing attention...
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10/14/2022
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation
In most E-commerce platforms, whether the displayed items trigger the us...
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10/10/2022
Joint Multi-grained Popularity-aware Graph Convolution Collaborative Filtering for Recommendation
Graph Convolution Networks (GCNs), with their efficient ability to captu...
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05/26/2022
Denial-of-Service Attacks on Learned Image Compression
Deep learning techniques have shown promising results in image compressi...
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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 ...
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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 ...
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12/08/2021
ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing
Scientific documents often contain a large number of acronyms. Disambigu...
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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...
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09/12/2021
The Logic Traps in Evaluating Post-hoc Interpretations
Post-hoc interpretation aims to explain a trained model and reveal how t...
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08/10/2021
Lifelong Intent Detection via Multi-Strategy Rebalancing
Conventional Intent Detection (ID) models are usually trained offline, w...
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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...
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06/03/2021
LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification
Modern models for event causality identification (ECI) are mainly based ...
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05/27/2021
Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion
Background Knowledge graphs (KGs), especially medical knowledge graphs, ...
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11/03/2020
Joint Entity and Relation Extraction with Set Prediction Networks
The joint entity and relation extraction task aims to extract all relati...
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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...
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10/12/2020
Pre-trained Language Model Based Active Learning for Sentence Matching
Active learning is able to significantly reduce the annotation cost for ...
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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...
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09/22/2020
Towards Causal Explanation Detection with Pyramid Salient-Aware Network
Causal explanation analysis (CEA) can assist us to understand the reason...
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09/19/2020
Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images
Unprecedented data collection and sharing have exacerbated privacy conce...
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08/12/2020
Distantly Supervised Relation Extraction in Federated Settings
This paper investigates distantly supervised relation extraction in fede...
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07/21/2020
Connecting Embeddings for Knowledge Graph Entity Typing
Knowledge graph (KG) entity typing aims at inferring possible missing en...
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07/07/2020
RGCF: Refined Graph Convolution Collaborative Filtering with concise and expressive embedding
Graph Convolution Network (GCN) has attracted significant attention and ...
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04/26/2020
Bias Busters: Robustifying DL-based Lithographic Hotspot Detectors Against Backdooring Attacks
Deep learning (DL) offers potential improvements throughout the CAD tool...
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04/04/2020
Knowledge Guided Metric Learning for Few-Shot Text Classification
The training of deep-learning-based text classification models relies he...
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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...
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02/19/2020
NNoculation: Broad Spectrum and Targeted Treatment of Backdoored DNNs
This paper proposes a novel two-stage defense (NNoculation) against back...
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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...
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10/29/2019
Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots
Conventional chatbots focus on two-party response generation, which simp...
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08/21/2019
Copy-Enhanced Heterogeneous Information Learning for Dialogue State Tracking
Dialogue state tracking (DST) is an essential component in task-oriented...
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06/25/2019