Xuan-Hieu Phan
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View article: AskDB: An LLM Agent for Natural Language Interaction with Relational Databases
AskDB: An LLM Agent for Natural Language Interaction with Relational Databases Open
Interacting with relational databases remains challenging for users across different expertise levels, particularly when composing complex analytical queries or performing administrative tasks. Existing systems typically address either nat…
View article: VLQA: The First Comprehensive, Large, and High-Quality Vietnamese Dataset for Legal Question Answering
VLQA: The First Comprehensive, Large, and High-Quality Vietnamese Dataset for Legal Question Answering Open
The advent of large language models (LLMs) has led to significant achievements in various domains, including legal text processing. Leveraging LLMs for legal tasks is a natural evolution and an increasingly compelling choice. However, thei…
View article: A Co-Attentive Infusion of Structural Knowledge into Language Models towards Legal Textual Inference
A Co-Attentive Infusion of Structural Knowledge into Language Models towards Legal Textual Inference Open
View article: Fine-tuning text-to-SQL models with reinforcement-learning training objectives
Fine-tuning text-to-SQL models with reinforcement-learning training objectives Open
Text-to-SQL is an important natural language processing task that helps users automatically convert natural language queries into formal SQL code. While transformer-based models have pushed text-to-SQL to unprecedented accuracy levels in r…
View article: Deep learning-enhanced defects detection for printed circuit boards
Deep learning-enhanced defects detection for printed circuit boards Open
Printed circuit boards (PCBs) are an important component of electronic devices. Therefore, ensuring the quality of such PCBs in the manufacturing process is crucial. Especially, cracks or scratches appearing on the PCB surface pose a signi…
View article: Exploiting LLMs' Reasoning Capability to Infer Implicit Concepts in Legal Information Retrieval
Exploiting LLMs' Reasoning Capability to Infer Implicit Concepts in Legal Information Retrieval Open
Statutory law retrieval is a typical problem in legal language processing, that has various practical applications in law engineering. Modern deep learning-based retrieval methods have achieved significant results for this problem. However…
View article: Improving Vietnamese Legal Question--Answering System based on Automatic Data Enrichment
Improving Vietnamese Legal Question--Answering System based on Automatic Data Enrichment Open
Question answering (QA) in law is a challenging problem because legal documents are much more complicated than normal texts in terms of terminology, structure, and temporal and logical relationships. It is even more difficult to perform le…
View article: Joint Learning for Legal Text Retrieval and Textual Entailment: Leveraging the Relationship between Relevancy and Affirmation
Joint Learning for Legal Text Retrieval and Textual Entailment: Leveraging the Relationship between Relevancy and Affirmation Open
In legal text processing and reasoning, one normally performs information retrieval to find relevant documents of an input question, and then performs textual entailment to answer the question. The former is about relevancy whereas the lat…
View article: Non-Standard Vietnamese Word Detection and Normalization for Text-to-Speech
Non-Standard Vietnamese Word Detection and Normalization for Text-to-Speech Open
Converting written texts into their spoken forms is an essential problem in any text-to-speech (TTS) systems. However, building an effective text normalization solution for a real-world TTS system face two main challenges: (1) the semantic…
View article: Learning Neural Textual Representations for Citation Recommendation
Learning Neural Textual Representations for Citation Recommendation Open
With the rapid growth of the scientific literature, manually selecting appropriate citations for a paper is becoming increasingly challenging and time-consuming. While several approaches for automated citation recommendation have been prop…
View article: NeuSub: A Neural Submodular Approach for Citation Recommendation
NeuSub: A Neural Submodular Approach for Citation Recommendation Open
Citation recommendation is a task that aims to automatically select suitable references for a working manuscript. This task has become increasingly urgent as the typical pools of candidates continue to grow, in the order of tens or hundred…
View article: Dialogue act segmentation for Vietnamese human-human conversational texts
Dialogue act segmentation for Vietnamese human-human conversational texts Open
Dialog act identification plays an important role in understanding conversations. It has been widely applied in many fields such as dialogue systems, automatic machine translation, automatic speech recognition, and especially useful in sys…
View article: Dialogue Act Segmentation for Vietnamese Human-Human Conversational\n Texts
Dialogue Act Segmentation for Vietnamese Human-Human Conversational\n Texts Open
Dialog act identification plays an important role in understanding\nconversations. It has been widely applied in many fields such as dialogue\nsystems, automatic machine translation, automatic speech recognition, and\nespecially useful in …
View article: Performance Prediction for Students: A Multi-Strategy Approach
Performance Prediction for Students: A Multi-Strategy Approach Open
This paper presents a study on Predicting Student Performance (PSP) in academic systems. In order to solve the task, we have proposed and investigated different strategies. Specifically, we consider this task as a regression problem and a …
View article: Tiếp cận đa chiều về quản lý hoạt động đào tạo ở Đại học Quốc gia Hà Nội
Tiếp cận đa chiều về quản lý hoạt động đào tạo ở Đại học Quốc gia Hà Nội Open
Tóm tắt: Theo tiếp cận đa chiều về đảm bảo chất lượng giáo dục, bài báo này khảo sát, đánh giá công tác quản lý đào tạo đại học ở Đại học Quốc gia Hà Nội một cách toàn diện (đa tham số) và khách quan (đa phương pháp, đa nguồn). Trong đó, đ…