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View article: Right hepatic artery pseudoaneurysm caused by stone extraction–related trauma during endoscopic retrograde cholangiopancreatography: a case report
Right hepatic artery pseudoaneurysm caused by stone extraction–related trauma during endoscopic retrograde cholangiopancreatography: a case report Open
Hepatic artery pseudoaneurysm (HAP) is a rare but potentially fatal complication of endoscopic retrograde cholangiopancreatography (ERCP), often misdiagnosed due to its nonspecific presentation. We report a case of a 72-year-old male with …
View article: Logo-LLM: Local and Global Modeling with Large Language Models for Time Series Forecasting
Logo-LLM: Local and Global Modeling with Large Language Models for Time Series Forecasting Open
Time series forecasting is critical across multiple domains, where time series data exhibits both local patterns and global dependencies. While Transformer-based methods effectively capture global dependencies, they often overlook short-te…
View article: ID-insensitive deepfake detection model based on multi-attention mechanism
ID-insensitive deepfake detection model based on multi-attention mechanism Open
Deepfake technology has enabled the widespread distribution of manipulated facial content online, raising serious societal concerns. In recent years, deepfake detection has emerged as a critical research focus. However, existing methods fr…
View article: Identifying depression with mixed features: the potential value of eye-tracking features
Identifying depression with mixed features: the potential value of eye-tracking features Open
Objectives To investigate the utility of eye-tracking features as a neurobiological marker for identifying depression with mixed features (DMF), a psychiatric disorder characterized by the presence of depressive symptoms alongside subsyndr…
View article: Enhancing lobaplatin sensitivity in lung adenocarcinoma through inhibiting LDHA-targeted metabolic pathways
Enhancing lobaplatin sensitivity in lung adenocarcinoma through inhibiting LDHA-targeted metabolic pathways Open
Background and objective Lung adenocarcinoma (LUAD), a subtype of non-small cell lung cancer (NSCLC), is associated with high incidence and mortality rates. Effective treatment options are limited due to the frequent development of multidr…
View article: DR-RAG: Applying Dynamic Document Relevance to Retrieval-Augmented Generation for Question-Answering
DR-RAG: Applying Dynamic Document Relevance to Retrieval-Augmented Generation for Question-Answering Open
Retrieval-Augmented Generation (RAG) has recently demonstrated the performance of Large Language Models (LLMs) in the knowledge-intensive tasks such as Question-Answering (QA). RAG expands the query context by incorporating external knowle…
View article: Effective Unsupervised Constrained Text Generation based on Perturbed Masking
Effective Unsupervised Constrained Text Generation based on Perturbed Masking Open
Unsupervised constrained text generation aims to generate text under a given set of constraints without any supervised data. Current state-of-the-art methods stochastically sample edit positions and actions, which may cause unnecessary sea…
View article: Elucidating the role of TWIST1 in ulcerative colitis: a comprehensive bioinformatics and machine learning approach
Elucidating the role of TWIST1 in ulcerative colitis: a comprehensive bioinformatics and machine learning approach Open
Background: Ulcerative colitis (UC) is a common and progressive inflammatory bowel disease primarily affecting the colon and rectum. Prolonged inflammation can lead to colitis-associated colorectal cancer (CAC). While the exact cause of UC…
View article: WinNet: Make Only One Convolutional Layer Effective for Time Series Forecasting
WinNet: Make Only One Convolutional Layer Effective for Time Series Forecasting Open
Deep learning models have recently achieved significant performance improvements in time series forecasting. We present a highly accurate and simply structured CNN-based model with only one convolutional layer, called WinNet, including (i)…
View article: MIGA: A Unified Multi-Task Generation Framework for Conversational Text-to-SQL
MIGA: A Unified Multi-Task Generation Framework for Conversational Text-to-SQL Open
Conversational text-to-SQL is designed to translate multi-turn natural language questions into their corresponding SQL queries. Most advanced conversational text-to-SQL methods are incompatible with generative pre-trained language models (…
View article: MIGA: A Unified Multi-task Generation Framework for Conversational Text-to-SQL
MIGA: A Unified Multi-task Generation Framework for Conversational Text-to-SQL Open
Conversational text-to-SQL is designed to translate multi-turn natural language questions into their corresponding SQL queries. Most state-of-the-art conversational text- to-SQL methods are incompatible with generative pre-trained language…
View article: Effective Unsupervised Constrained Text Generation based on Perturbed Masking
Effective Unsupervised Constrained Text Generation based on Perturbed Masking Open
Unsupervised constrained text generation aims to generate text under a given set of constraints without any supervised data. Current state-of-the-art methods stochastically sample edit positions and actions, which may cause unnecessary sea…
View article: A Clarifying Question Selection System from NTES_ALONG in Convai3 Challenge
A Clarifying Question Selection System from NTES_ALONG in Convai3 Challenge Open
This paper presents the participation of NetEase Game AI Lab team for the ClariQ challenge at Search-oriented Conversational AI (SCAI) EMNLP workshop in 2020. The challenge asks for a complete conversational information retrieval system th…