Papers Question Generation
“Question Generation” 태그가 달린 논문 773편 · 필터 해제
A General Framework for Producing Interpretable Semantic Text Embeddings
Semantic text embedding is essential to many tasks in Natural Language Processing (NLP). While black-box models are capable of generating high-quality embeddings, their lack of interpretability limits their use in tasks …
Question AnsweringQuestion GenerationQuestion-GenerationCross-lingual Transfer for Automatic Question Generation by Learning Interrogative Structures in Target Languages
Automatic question generation (QG) serves a wide range of purposes, such as augmenting question-answering (QA) corpora, enhancing chatbot systems, and developing educational materials. Despite its importance, most existi…
ChatbotCross-Lingual TransferLanguage ModelingLanguage Modelling+4PCQPR: Proactive Conversational Question Planning with Reflection
Conversational Question Generation (CQG) enhances the interactivity of conversational question-answering systems in fields such as education, customer service, and entertainment. However, traditional CQG, focusing primar…
Conversational Question AnsweringQuestion AnsweringQuestion GenerationQuestion-GenerationCo-Trained Retriever-Generator Framework for Question Generation in Earnings Calls
In diverse professional environments, ranging from academic conferences to corporate earnings calls, the ability to anticipate audience questions stands paramount. Traditional methods, which rely on manual assessment of …
Question GenerationQuestion-GenerationCorpus-informed Retrieval Augmented Generation of Clarifying Questions
This study aims to develop models that generate corpus informed clarifying questions for web search, in a way that ensures the questions align with the available information in the retrieval corpus. We demonstrate the ef…
Question GenerationQuestion-GenerationRAGRetrieval+1DisGeM: Distractor Generation for Multiple Choice Questions with Span Masking
Recent advancements in Natural Language Processing (NLP) have impacted numerous sub-fields such as natural language generation, natural language inference, question answering, and more. However, in the field of question …
Distractor GenerationMultiple-choiceNatural Language InferenceQuestion Answering+3Unsupervised Text Representation Learning via Instruction-Tuning for Zero-Shot Dense Retrieval
Dense retrieval systems are commonly used for information retrieval (IR). They rely on learning text representations through an encoder and usually require supervised modeling via labelled data which can be costly to obt…
Information RetrievalQuestion GenerationQuestion-GenerationRepresentation Learning+1Contrastive Learning for Knowledge-Based Question Generation in Large Language Models
With the rapid development of artificial intelligence technology, especially the increasingly widespread application of question-and-answer systems, high-quality question generation has become a key component in supporti…
Contrastive LearningHallucinationQuestion GenerationQuestion-GenerationWhat are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices
Recent advancements in large language models (LLMs) with extended context windows have significantly improved tasks such as information extraction, question answering, and complex planning scenarios. In order to achieve …
Question AnsweringQuestion GenerationQuestion-GenerationThe Role of Large Language Models in Musicology: Are We Ready to Trust the Machines?
In this work, we explore the use and reliability of Large Language Models (LLMs) in musicology. From a discussion with experts and students, we assess the current acceptance and concerns regarding this, nowadays ubiquito…
Multiple-choiceQuestion GenerationQuestion-GenerationRetrieval+1Multi-Faceted Question Complexity Estimation Targeting Topic Domain-Specificity
Question difficulty estimation remains a multifaceted challenge in educational and assessment settings. Traditional approaches often focus on surface-level linguistic features or learner comprehension levels, neglecting …
Information RetrievalQuestion GenerationQuestion-GenerationRetrieval+1Chain-of-Exemplar: Enhancing Distractor Generation for Multimodal Educational Question Generation
Multiple-choice questions (MCQs) are important in enhancing concept learning and student engagement for educational purposes. Despite the multimodal nature of educational content, current methods focus mainly on text-bas…
Distractor GenerationMultiple-choiceQuestion GenerationQuestion-Generation+1Automated Educational Question Generation at Different Bloom's Skill Levels using Large Language Models: Strategies and Evaluation
Developing questions that are pedagogically sound, relevant, and promote learning is a challenging and time-consuming task for educators. Modern-day large language models (LLMs) generate high-quality content across multi…
Question GenerationQuestion-GenerationQuestGen: Effectiveness of Question Generation Methods for Fact-Checking Applications
Verifying fact-checking claims poses a significant challenge, even for humans. Recent approaches have demonstrated that decomposing claims into relevant questions to gather evidence enhances the efficiency of the fact-ch…
Data AugmentationFact CheckingQuestion GenerationQuestion-GenerationComparison of Large Language Models for Generating Contextually Relevant Questions
This study explores the effectiveness of Large Language Models (LLMs) for Automatic Question Generation in educational settings. Three LLMs are compared in their ability to create questions from university slide text wit…
Question GenerationQuestion-GenerationAutomated Question Generation on Tabular Data for Conversational Data Exploration
Exploratory data analysis (EDA) is an essential step for analyzing a dataset to derive insights. Several EDA techniques have been explored in the literature. Many of them leverage visualizations through various plots. Bu…
Language ModellingQuestion GenerationQuestion-GenerationAsk Questions with Double Hints: Visual Question Generation with Answer-awareness and Region-reference
The visual question generation (VQG) task aims to generate human-like questions from an image and potentially other side information (e.g. answer type). Previous works on VQG fall in two aspects: i) They suffer from one …
Graph-to-SequenceImplicit RelationsQuestion GenerationQuestion-GenerationSynthetic Multimodal Question Generation
Multimodal Retrieval Augmented Generation (MMRAG) is a powerful approach to question-answering over multimodal documents. A key challenge with evaluating MMRAG is the paucity of high-quality datasets matching the questio…
Language ModelingLanguage ModellingLarge Language ModelQuestion Answering+5ProductAgent: Benchmarking Conversational Product Search Agent with Asking Clarification Questions
This paper introduces the task of product demand clarification within an e-commercial scenario, where the user commences the conversation with ambiguous queries and the task-oriented agent is designed to achieve more acc…
BenchmarkingQuestion GenerationQuestion-GenerationRetrievalHow Effective is GPT-4 Turbo in Generating School-Level Questions from Textbooks Based on Bloom's Revised Taxonomy?
We evaluate the effectiveness of GPT-4 Turbo in generating educational questions from NCERT textbooks in zero-shot mode. Our study highlights GPT-4 Turbo's ability to generate questions that require higher-order thinking…
Question GenerationQuestion-Generation