Papers Question Generation
“Question Generation” 태그가 달린 논문 773편 · 필터 해제
Multilingual Open QA on the MIA Shared Task
Cross-lingual information retrieval (CLIR) ~\cite{shi2021cross, asai2021one, jiang2020cross} for example, can find relevant text in any language such as English(high resource) or Telugu (low resource) even when the query…
Cross-Lingual Information RetrievalInformation RetrievalPassage RetrievalQuestion Answering+4Chat-based Person Retrieval via Dialogue-Refined Cross-Modal Alignment
Traditional text-based person retrieval (TPR) relies on a single-shot text as query to retrieve the target person, assuming that the query completely captures the user's search intent. However, in real-world scenario…
Attributecross-modal alignmentData AugmentationPerson Retrieval+5MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge
Large language models (LLMs) have demonstrated impressive capabilities in various reasoning tasks but face significant challenges with complex, knowledge-intensive multi-hop queries, particularly those involving new or l…
Multi-hop Question AnsweringQuestion AnsweringQuestion GenerationQuestion-Generation+2Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents
Suggested questions (SQs) provide an effective initial interface for users to engage with their documents in AI-powered reading applications. In practical reading sessions, users have diverse backgrounds and reading goal…
Question GenerationQuestion-GenerationEnhancing Discoverability in Enterprise Conversational Systems with Proactive Question Suggestions
Enterprise conversational AI systems are becoming increasingly popular to assist users in completing daily tasks such as those in marketing and customer management. However, new users often struggle to ask effective ques…
ManagementMarketingQuestion GenerationQuestion-GenerationLeveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects
Background: Over the past few decades, the process and methodology of automated question generation (AQG) have undergone significant transformations. Recent progress in generative natural language models has opened up ne…
Question GenerationQuestion-GenerationRAGRetrieval-augmented GenerationGive me Some Hard Questions: Synthetic Data Generation for Clinical QA
Clinical Question Answering (QA) systems enable doctors to quickly access patient information from electronic health records (EHRs). However, training these systems requires significant annotated data, which is limited d…
Question AnsweringQuestion GenerationQuestion-GenerationSynthetic Data GenerationDiagramQG: A Dataset for Generating Concept-Focused Questions from Diagrams
Visual Question Generation (VQG) has gained significant attention due to its potential in educational applications. However, VQG researches mainly focus on natural images, neglecting diagrams in educational materials use…
Language ModelingLanguage ModellingQuestion GenerationQuestion-GenerationMulti-hop Evidence Pursuit Meets the Web: Team Papelo at FEVER 2024
Separating disinformation from fact on the web has long challenged both the search and the reasoning powers of humans. We show that the reasoning power of large language models (LLMs) and the retrieval power of modern se…
Question GenerationQuestion-GenerationInfinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data
Recently, Vision-Language Models (VLMs) have achieved remarkable progress in multimodal tasks, and multimodal instruction data serves as the foundation for enhancing VLM capabilities. Despite the availability of several …
Image GenerationQuestion GenerationQuestion-GenerationVisual Question Answering (VQA)SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains
Retrieval-augmented generation (RAG) enhances the question-answering (QA) abilities of large language models (LLMs) by integrating external knowledge. However, adapting general-purpose RAG systems to specialized fields s…
Domain AdaptationInstruction FollowingQuestion AnsweringQuestion Generation+4MCQG-SRefine: Multiple Choice Question Generation and Evaluation with Iterative Self-Critique, Correction, and Comparison Feedback
Automatic question generation (QG) is essential for AI and NLP, particularly in intelligent tutoring, dialogue systems, and fact verification. Generating multiple-choice questions (MCQG) for professional exams, like the …
Fact VerificationHallucinationMultiple-choicePrompt Engineering+2Expanding Chatbot Knowledge in Customer Service: Context-Aware Similar Question Generation Using Large Language Models
Reliable responses of service chatbots are often achieved by employing retrieval-based methods that restrict answers to a knowledge base comprising predefined question-answer pairs (QA pairs). To accommodate potential va…
ChatbotDiversityNatural Language UnderstandingQuestion Generation+1HerO at AVeriTeC: The Herd of Open Large Language Models for Verifying Real-World Claims
To tackle the AVeriTeC shared task hosted by the FEVER-24, we introduce a system that only employs publicly available large language models (LLMs) for each step of automated fact-checking, dubbed the Herd of Open LLMs fo…
Fact CheckingLanguage ModelingLanguage ModellingQuestion Generation+2MIRROR: A Novel Approach for the Automated Evaluation of Open-Ended Question Generation
Automatic question generation is a critical task that involves evaluating question quality by considering factors such as engagement, pedagogical value, and the ability to stimulate critical thinking. These aspects requi…
Question GenerationQuestion-GenerationGenerative AI and Its Impact on Personalized Intelligent Tutoring Systems
Generative Artificial Intelligence (AI) is revolutionizing educational technology by enabling highly personalized and adaptive learning environments within Intelligent Tutoring Systems (ITS). This report delves into the …
Emotional IntelligenceQuestion GenerationQuestion-GenerationQUIS: Question-guided Insights Generation for Automated Exploratory Data Analysis
Discovering meaningful insights from a large dataset, known as Exploratory Data Analysis (EDA), is a challenging task that requires thorough exploration and analysis of the data. Automated Data Exploration (ADE) systems …
Question GenerationQuestion-GenerationECIS-VQG: Generation of Entity-centric Information-seeking Questions from Videos
Previous studies on question generation from videos have mostly focused on generating questions about common objects and attributes and hence are not entity-centric. In this work, we focus on the generation of entity-cen…
Fact CheckingQuestion GenerationQuestion-GenerationThe Future of Learning in the Age of Generative AI: Automated Question Generation and Assessment with Large Language Models
In recent years, large language models (LLMs) and generative AI have revolutionized natural language processing (NLP), offering unprecedented capabilities in education. This chapter explores the transformative potential …
MisconceptionsMultiple-choiceQuestion GenerationQuestion-GenerationA Comparative Analysis on Ethical Benchmarking in Large Language Models
This work contributes to the field of Machine Ethics (ME) benchmarking, which develops tests to assess whether intelligent systems accurately represent human values and act accordingly. We identify three major issues wit…
BenchmarkingDecision MakingEthicsQuestion Generation+1