Hongye Tan
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Author Swipe
View article: Memorization $\neq$ Understanding: Do Large Language Models Have the Ability of Scenario Cognition?
Memorization $\neq$ Understanding: Do Large Language Models Have the Ability of Scenario Cognition? Open
Driven by vast and diverse textual data, large language models (LLMs) have demonstrated impressive performance across numerous natural language processing (NLP) tasks. Yet, a critical question persists: does their generalization arise from…
View article: Dynamic Energy-Based Contrastive Learning with Multi-Stage Knowledge Verification for Event Causality Identification
Dynamic Energy-Based Contrastive Learning with Multi-Stage Knowledge Verification for Event Causality Identification Open
View article: Memorization ≠ Understanding: Do Large Language Models Have the Ability of Scenario Cognition?
Memorization ≠ Understanding: Do Large Language Models Have the Ability of Scenario Cognition? Open
View article: FPGA-Based Design for Digital Speedometer to Detect Speed Limit of Vehicles
FPGA-Based Design for Digital Speedometer to Detect Speed Limit of Vehicles Open
This paper presents a proposed design for a digital speedometer using Field Programmable Gate Array (FPGA) technology. The speedometer is a crucial safety feature in vehicles, providing real-time information on the vehicle's speed in kilom…
View article: Faithful Chain-of-Thought Reasoning Through Question-Guided Faithfulness Verification Prompting
Faithful Chain-of-Thought Reasoning Through Question-Guided Faithfulness Verification Prompting Open
View article: Improving Sequential Model Editing with Fact Retrieval
Improving Sequential Model Editing with Fact Retrieval Open
The task of sequential model editing is to fix erroneous knowledge in Pre-trained Language Models (PLMs) efficiently, precisely and continuously. Although existing methods can deal with a small number of modifications, these methods experi…
View article: Graph Mixed Random Network Based on PageRank
Graph Mixed Random Network Based on PageRank Open
In recent years, graph neural network algorithm (GNN) for graph semi-supervised classification has made great progress. However, in the task of node classification, the neighborhood size is often difficult to expand. The propagation of nod…
View article: Frame Semantic-Enhanced Sentence Modeling for Sentence-level Extractive Text Summarization
Frame Semantic-Enhanced Sentence Modeling for Sentence-level Extractive Text Summarization Open
Sentence-level extractive text summarization aims to select important sentences from a given document. However, it is very challenging to model the importance of sentences. In this paper, we propose a novel Frame Semantic-Enhanced Sentence…
View article: GCRC: A New Challenging MRC Dataset from Gaokao Chinese for Explainable Evaluation
GCRC: A New Challenging MRC Dataset from Gaokao Chinese for Explainable Evaluation Open
Recently, driven by numerous publicly available machine reading comprehension (MRC) datasets, MRC systems have made some progress.These datasets, however, have two major limitations: 1) the defined tasks are relatively simple, and 2) they …
View article: A Frame-based Sentence Representation for Machine Reading Comprehension
A Frame-based Sentence Representation for Machine Reading Comprehension Open
Sentence representation (SR) is the most crucial and challenging task in Machine Reading Comprehension (MRC). MRC systems typically only utilize the information contained in the sentence itself, while human beings can leverage their semant…
View article: Incorporating Syntax and Frame Semantics in Neural Network for Machine Reading Comprehension
Incorporating Syntax and Frame Semantics in Neural Network for Machine Reading Comprehension Open
Machine reading comprehension (MRC) is one of the most critical yet challenging tasks in natural language understanding(NLU), where both syntax and semantics information of text are essential components for text understanding. It is surpri…
View article: Enhancement of radiotherapy efficacy by silver nanoparticles in hypoxic glioma cells
Enhancement of radiotherapy efficacy by silver nanoparticles in hypoxic glioma cells Open
Radiotherapy is one of the most widely used treatments for therapy of malignant tumors, but resistance to radiation of hypoxic cells in tumor tissues is still a serious concern. Previous studies have demonstrated that silver nanoparticles …
View article: Towards creative language generation: exploring Chinese humor generation
Towards creative language generation: exploring Chinese humor generation Open
Humor generation is one of the tasks of computational creativity, which can not only make a computer creative and have a personality, but also improve user experiences. This paper explores the generation of Chinese jokes, the main form of …