Papers Question Generation
“Question Generation” 태그가 달린 논문 773편 · 필터 해제
KAQG: A Knowledge-Graph-Enhanced RAG for Difficulty-Controlled Question Generation
KAQG introduces a decisive breakthrough for Retrieval-Augmented Generation (RAG) by explicitly tackling the two chronic weaknesses of current pipelines: transparent multi-step reasoning and fine-grained cognitive difficu…
Knowledge GraphsQuestion GenerationQuestion-GenerationRAG+2Self Rewarding Self Improving
We demonstrate that large language models can effectively self-improve through self-judging without requiring reference solutions, leveraging the inherent asymmetry between generating and verifying solutions. Our experim…
Question GenerationQuestion-Generationreinforcement-learningReinforcement LearningEnhancing the Learning Experience: Using Vision-Language Models to Generate Questions for Educational Videos
Web-based educational videos offer flexible learning opportunities and are becoming increasingly popular. However, improving user engagement and knowledge retention remains a challenge. Automatically generated questions …
DiversityQuestion GenerationQuestion-GenerationHarnessing Structured Knowledge: A Concept Map-Based Approach for High-Quality Multiple Choice Question Generation with Effective Distractors
Generating high-quality MCQs, especially those targeting diverse cognitive levels and incorporating common misconceptions into distractor design, is time-consuming and expertise-intensive, making manual creation impracti…
High School PhysicsMisconceptionsMultiple-choiceQuestion Generation+2RV-Syn: Rational and Verifiable Mathematical Reasoning Data Synthesis based on Structured Function Library
The advancement of reasoning capabilities in Large Language Models (LLMs) requires substantial amounts of high-quality reasoning data, particularly in mathematics. Existing data synthesis methods, such as data augmentati…
Data AugmentationMathematical ReasoningQuestion GenerationQuestion-GenerationContext Selection and Rewriting for Video-based Educational Question Generation
Educational question generation (EQG) is a crucial component of intelligent educational systems, significantly aiding self-assessment, active learning, and personalized education. While EQG systems have emerged, existing…
Active LearningQuestion GenerationQuestion-GenerationAskQE: Question Answering as Automatic Evaluation for Machine Translation
How can a monolingual English speaker determine whether an automatic translation in French is good enough to be shared? Existing MT error detection and quality estimation (QE) techniques do not address this practical sce…
Machine TranslationQuestion AnsweringQuestion GenerationQuestion-Generation+1Evaluating the Fitness of Ontologies for the Task of Question Generation
Ontology-based question generation is an important application of semantic-aware systems that enables the creation of large question banks for diverse learning environments. The effectiveness of these systems, both in te…
Question GenerationQuestion-GenerationTransientTables: Evaluating LLMs' Reasoning on Temporally Evolving Semi-structured Tables
Humans continuously make new discoveries, and understanding temporal sequence of events leading to these breakthroughs is essential for advancing science and society. This ability to reason over time allows us to identif…
Question GenerationQuestion-GenerationFollow-up Question Generation For Enhanced Patient-Provider Conversations
Follow-up question generation is an essential feature of dialogue systems as it can reduce conversational ambiguity and enhance modeling complex interactions. Conversational contexts often pose core NLP challenges such a…
DiagnosticQuestion GenerationQuestion-GenerationECLAIR: Enhanced Clarification for Interactive Responses
We present ECLAIR (Enhanced CLArification for Interactive Responses), a novel unified and end-to-end framework for interactive disambiguation in enterprise AI assistants. ECLAIR generates clarification questions for ambi…
Question GenerationQuestion-GenerationECLAIR: Enhanced Clarification for Interactive Responses in an Enterprise AI Assistant
Large language models (LLMs) have shown remarkable progress in understanding and generating natural language across various applications. However, they often struggle with resolving ambiguities in real-world, enterprise-…
Question GenerationQuestion-GenerationCross-Examiner: Evaluating Consistency of Large Language Model-Generated Explanations
Large Language Models (LLMs) are often asked to explain their outputs to enhance accuracy and transparency. However, evidence suggests that these explanations can misrepresent the models' true reasoning processes. One ef…
Language ModelingLanguage ModellingLarge Language ModelQuestion Generation+1QG-SMS: Enhancing Test Item Analysis via Student Modeling and Simulation
While the Question Generation (QG) task has been increasingly adopted in educational assessments, its evaluation remains limited by approaches that lack a clear connection to the educational values of test items. In this…
Language ModelingLanguage ModellingLarge Language ModelQuestion Generation+2What is a Good Question? Utility Estimation with LLM-based Simulations
Asking questions is a fundamental aspect of learning that facilitates deeper understanding. However, characterizing and crafting questions that effectively improve learning remains elusive. To address this gap, we propos…
Question GenerationQuestion-GenerationSavaal: Scalable Concept-Driven Question Generation to Enhance Human Learning
Assessing and enhancing human learning through question-answering is vital, yet automating this process remains challenging. While large language models (LLMs) excel at summarization and query responses, their ability to…
Question AnsweringQuestion GenerationQuestion-GenerationQuOTE: Question-Oriented Text Embeddings
We present QuOTE (Question-Oriented Text Embeddings), a novel enhancement to retrieval-augmented generation (RAG) systems, aimed at improving document representation for accurate and nuanced retrieval. Unlike traditional…
Multi-hop Question AnsweringQuestion AnsweringQuestion GenerationQuestion-Generation+3Leveraging In-Context Learning and Retrieval-Augmented Generation for Automatic Question Generation in Educational Domains
Question generation in education is a time-consuming and cognitively demanding task, as it requires creating questions that are both contextually relevant and pedagogically sound. Current automated question generation me…
In-Context LearningQuestion GenerationQuestion-GenerationRAG+2Empowering Large Language Models in Wireless Communication: A Novel Dataset and Fine-Tuning Framework
In this work, we develop a specialized dataset aimed at enhancing the evaluation and fine-tuning of large language models (LLMs) specifically for wireless communication applications. The dataset includes a diverse set of…
Multiple-choiceQuestion GenerationQuestion-GenerationA Novel Approach to Scalable and Automatic Topic-Controlled Question Generation in Education
The development of Automatic Question Generation (QG) models has the potential to significantly improve educational practices by reducing the teacher workload associated with creating educational content. This paper intr…
Data AugmentationQuestion GenerationQuestion-GenerationSpecificity